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16 Nov 2020
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Our range of products
Product categories
- 06 Information and communication technology
- 06.02 mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI)
mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI)
- Visit our Medical Solutions Page
- MAXREFDES104#: Health Sensor Platform 3.0
- Wearable ECG and Heart Monitor Evaluation and Development Platform
- MAXREFDES103#: Wrist-Based SpO2, HR, and HRV Health Sensor Platform
- Low-Power, Arm Cortex-M4 Processor with FPU-Based Microcontroller and Bluetooth 5.2
- MAX32666: Low-Power ARM Cortex-M4 with FPU-Based Microcontroller with Bluetooth 5 for Wearables
- MAX32670: High Reliability, Ultra-Low Power Microcontroller Powered by Arm Cortex M4 Processor with FPU for Industrial and IoT
- MAX32660: Tiny, Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller (MCU) with 256KB Flash and 96KB SRAM
- MAX78000: Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller with Convolutional Neural Network Accelerator
- DS28E50: DeepCover Secure SHA-3 Authenticator with ChipDNA PUF Protection
- DS2477: DeepCover Secure SHA-3 Coprocessor with ChipDNA PUF Protection
- DS28E39: DeepCover Secure ECDSA Bidirectional Authenticator with ChipDNA PUF Protection
- DS28E83: DeepCover Radiation Resistant 1-Wire Secure Authenticator
- MAX16150: nanoPower Pushbutton On/Off Controller and Battery Freshness Seal
- MAX38640–MAX38643: Tiny 1.8V to 5.5V Input, 330nA IQ, 700mA nanoPower Buck Converter
- MAX40203: Ultra-Tiny Nanopower, 1A Ideal Diodes with Ultra-Low-Voltage Drop
- MAX31342: Low-Current, Real-Time Clock with I2C Interface
- Integrated Motor Driver and Motion Controller IC
- Trinamic Open-Source Ventilator Project
- Low-Weight Miniaturized Single Axis Servo Drive for 3-Phase BLDC Motors
- 06 Information and communication technology
- 06.03 Wearable technologies, smart textiles
Wearable technologies, smart textiles
- Visit our Medical Solutions Page
- MAXREFDES104#: Health Sensor Platform 3.0
- Wearable ECG and Heart Monitor Evaluation and Development Platform
- MAXREFDES103#: Wrist-Based SpO2, HR, and HRV Health Sensor Platform
- Low-Power, Arm Cortex-M4 Processor with FPU-Based Microcontroller and Bluetooth 5.2
- MAX32666: Low-Power ARM Cortex-M4 with FPU-Based Microcontroller with Bluetooth 5 for Wearables
- MAX32670: High Reliability, Ultra-Low Power Microcontroller Powered by Arm Cortex M4 Processor with FPU for Industrial and IoT
- MAX32660: Tiny, Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller (MCU) with 256KB Flash and 96KB SRAM
- MAX78000: Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller with Convolutional Neural Network Accelerator
- DS28E50: DeepCover Secure SHA-3 Authenticator with ChipDNA PUF Protection
- DS2477: DeepCover Secure SHA-3 Coprocessor with ChipDNA PUF Protection
- DS28E39: DeepCover Secure ECDSA Bidirectional Authenticator with ChipDNA PUF Protection
- DS28E83: DeepCover Radiation Resistant 1-Wire Secure Authenticator
- MAX16150: nanoPower Pushbutton On/Off Controller and Battery Freshness Seal
- MAX38640–MAX38643: Tiny 1.8V to 5.5V Input, 330nA IQ, 700mA nanoPower Buck Converter
- MAX40203: Ultra-Tiny Nanopower, 1A Ideal Diodes with Ultra-Low-Voltage Drop
- MAX31342: Low-Current, Real-Time Clock with I2C Interface
- Integrated Motor Driver and Motion Controller IC
- Trinamic Open-Source Ventilator Project
- Low-Weight Miniaturized Single Axis Servo Drive for 3-Phase BLDC Motors
- 06 Information and communication technology
- 06.04 eHealth, telemedicine / telematics / telemetry
eHealth, telemedicine / telematics / telemetry
- Visit our Medical Solutions Page
- MAXREFDES104#: Health Sensor Platform 3.0
- Wearable ECG and Heart Monitor Evaluation and Development Platform
- MAXREFDES103#: Wrist-Based SpO2, HR, and HRV Health Sensor Platform
- Low-Power, Arm Cortex-M4 Processor with FPU-Based Microcontroller and Bluetooth 5.2
- MAX32666: Low-Power ARM Cortex-M4 with FPU-Based Microcontroller with Bluetooth 5 for Wearables
- MAX32670: High Reliability, Ultra-Low Power Microcontroller Powered by Arm Cortex M4 Processor with FPU for Industrial and IoT
- MAX32660: Tiny, Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller (MCU) with 256KB Flash and 96KB SRAM
- MAX78000: Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller with Convolutional Neural Network Accelerator
- DS28E50: DeepCover Secure SHA-3 Authenticator with ChipDNA PUF Protection
- DS2477: DeepCover Secure SHA-3 Coprocessor with ChipDNA PUF Protection
- DS28E39: DeepCover Secure ECDSA Bidirectional Authenticator with ChipDNA PUF Protection
- DS28E83: DeepCover Radiation Resistant 1-Wire Secure Authenticator
- MAX16150: nanoPower Pushbutton On/Off Controller and Battery Freshness Seal
- MAX38640–MAX38643: Tiny 1.8V to 5.5V Input, 330nA IQ, 700mA nanoPower Buck Converter
- MAX40203: Ultra-Tiny Nanopower, 1A Ideal Diodes with Ultra-Low-Voltage Drop
- MAX31342: Low-Current, Real-Time Clock with I2C Interface
- Integrated Motor Driver and Motion Controller IC
- Trinamic Open-Source Ventilator Project
- Low-Weight Miniaturized Single Axis Servo Drive for 3-Phase BLDC Motors
Our products
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
Visit our Medical Solutions Page
Visit our Medical overview page to learn how Maxim Integrated can help you to get your products faster to market.
You will meet innovative technologies such as:
You will meet innovative technologies such as:
- Solutions to accurately measure vital signs like heart rate, Spo2, PPG and ECG
- Maxim’s unique PUF based secure authenticators to secure your medical devices from threat
- The newest breed of Bluetooth 5 enabled low-power microcontrollers as well as Maxim’s groundbreaking new microcontroller with integrated low power AI accelerator
- Maxim’s Essential Analog portfolio for Efficient Power, Precision Measurement, Reliable Connectivity, and Robust Protection
- Trinamic’s newest motor driver, motion control and axis driver IC’s designed for Medical applications
Product category: Wearable technologies, smart textiles, mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), eHealth, telemedicine / telematics / telemetry
MAXREFDES104#: Health Sensor Platform 3.0
The MAXREFDES104# is a unique evaluation and development platform in a wearable form factor that demonstrates the functions of a wide range of Maxim’s products for health-sensing applications. This third-generation health sensor platform (an advancement of the MAXREFDES101# Health Sensor Platform 2.0) integrates a two-in-one PPG + ECG analog-front-end (AFE) sensor (MAX86176), a human body temperature sensor (MAX30208), a microcontroller (MAX32666), a power-management IC (MAX20360), and a 3-axis accelerometer. The complete platform includes a 3D-printed enclosure and a biometric algorithm hub with an embedded heart-rate, oxygen saturation and ECG algorithms (MAX32670). Algorithm output and raw data can be streamed through Bluetooth™ to a PC GUI for demonstration, evaluation, and customized development.
Product category: eHealth, telemedicine / telematics / telemetry, mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles
Wearable ECG and Heart Monitor Evaluation and Development Platform
The MAX-ECG-MONITOR evaluation and development platform, featuring the MAX30003 clinical-grade AFE, analyzes data and accurately tracks heart signals (ECG and heart rate), as well as user status signals such as temperature and motion, to provide valuable insight for clinical and fitness applications. Quickly develop ECG-based applications with the embedded algorithms, or use it to collect raw data to develop your own custom health sensor algorithms. Part of the Movesense ecosystem, the MAX-ECG-MONITOR runs an open Application Program Interface (API) for developing unique in-device apps for a variety of ECG-based use cases showing heart-rate signals at rest or during high motion activity.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAXREFDES103#: Wrist-Based SpO2, HR, and HRV Health Sensor Platform
The MAXREFDES103# is a wrist-worn wearable form factor that demonstrates the high sensitivity and algorithm processing functions for health-sensing applications. This health sensor band platform includes an enclosure and a biometric sensor hub with an embedded algorithm for heart rate and SpO2 (MAX32664C) which processes PPG signals from the analog-front-end (AFE) sensor (MAX86141). Algorithm output and raw data can be streamed through Bluetooth® to an Android® app or PC GUI for demonstration, evaluation, and customized development.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
Low-Power, Arm Cortex-M4 Processor with FPU-Based Microcontroller and Bluetooth 5.2
The MAX32655 microcontroller (MCU) is an advanced system-on-chip (SoC) featuring an Arm® Cortex®-M4F CPU for efficient computation of complex functions and algorithms that is qualified to operate at a temperature range of -40°C to +105°C. The SoC integrates power regulation and management with a single inductor multiple output (SIMO) buck regulator system. On board is the latest generation Bluetooth® 5.2 Low Energy (LE) radio, supporting LE Audio, angle of arrival (AoA), and angle of departure (AoD) for direction finding, long-range (coded), and high-throughput modes.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX32666: Low-Power ARM Cortex-M4 with FPU-Based Microcontroller with Bluetooth 5 for Wearables
The MAX32665–MAX32668 UB class microcontrollers are advanced systems-on-chips featuring an Arm® Cortex®-M4 with FPU CPU for efficient computation of complex functions and algorithms with integrated power management. They also include the newest generation Bluetooth 5 Low Energy radio with high throughput (2Mbps) and Maxim's best-in-class hardware security suite trust protection unit (TPU). The devices offer large on-board memory with 1MB flash and up to 560KB SRAM that can be configured as 448KB SRAM with error correction coding (ECC). Split flash banks of 512KB each support seamless over the air upgrades, adding an additional degree of reliability. Memory scalability of data (SRAM) and code (flash) space is supported by two SPI execute-in-place (SPIX) interfaces.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX32670: High Reliability, Ultra-Low Power Microcontroller Powered by Arm Cortex M4 Processor with FPU for Industrial and IoT
In the Darwin family, the MAX32670/MAX32671 are ultra- low power, cost-effective, high reliability 32-bit microcon- trollers enabling designs with complex sensor processing without compromising battery life. They combine a flexible and versatile power management unit with the powerful Arm® Cortex®-M4 processor with floating point unit (FPU). The MAX32670/MAX32671 also offer legacy de- signs an easy and cost optimal upgrade path from 8- or 16-bit microcontrollers.
The devices integrate up to 384KB of flash and 160KB of SRAM to accommodate application and sensor code. error correction coding (ECC), capable of single error correction and double error detection (SEC-DED), is implemented over the entire flash, RAM, and cache to ensure ultra-reliable code execution for demanding applications. Additional features such as the two windowed watchdog timers with fully flexible and independent clocking have been added to further enhance reliable operation. Brown- out detection ensures proper operation during power- down and power-up events and unexpected supply transients.
The devices integrate up to 384KB of flash and 160KB of SRAM to accommodate application and sensor code. error correction coding (ECC), capable of single error correction and double error detection (SEC-DED), is implemented over the entire flash, RAM, and cache to ensure ultra-reliable code execution for demanding applications. Additional features such as the two windowed watchdog timers with fully flexible and independent clocking have been added to further enhance reliable operation. Brown- out detection ensures proper operation during power- down and power-up events and unexpected supply transients.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX32660: Tiny, Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller (MCU) with 256KB Flash and 96KB SRAM
In the DARWIN family, the MAX32660 is an ultra-low-power, cost-effective, highly-integrated 32-bit microcontroller designed for battery-powered devices and wireless sensors. It combines a flexible and versatile power management unit with the powerful Arm® Cortex®-M4 processor with floating point unit (FPU) in the industry’s smallest form factor: 1.6mm x 1.6mm, 16-bump WLP or 4mm x 4mm, 20-pin TQFN-EP, or 3mm x 3mm, 24-pin TQFN-EP.
The MAX32660 enables designs with complex sensor processing without compromising battery life. It also offers legacy designs an easy and cost optimal upgrade path from 8- or 16-bit microcontrollers.
The MAX32660 enables designs with complex sensor processing without compromising battery life. It also offers legacy designs an easy and cost optimal upgrade path from 8- or 16-bit microcontrollers.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX78000: Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller with Convolutional Neural Network Accelerator
Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the power cord from AI insights. The MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. This product combines the most energy-efficient AI processing with Maxim's proven ultra-low power microcontrollers. Our hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy.
The MAX78000 is an advanced system-on-chip featuring an Arm® Cortex®-M4 with FPU CPU for efficient system control with an ultra-low-power deep neural network accelerator. The CNN engine has a weight storage memory of 442KB, and can support 1-, 2-, 4-, and 8-bit weights (supporting networks of up to 3.5 million weights). The CNN weight memory is SRAM-based, so AI network updates can be made on the fly. The CNN engine also has 512KB of data memory. The CNN architecture is highly flexible, allowing networks to be trained in conventional toolsets like PyTorch and TensorFlow®, then converted for execution on the MAX78000 using tools provided by Maxim.
The MAX78000 is an advanced system-on-chip featuring an Arm® Cortex®-M4 with FPU CPU for efficient system control with an ultra-low-power deep neural network accelerator. The CNN engine has a weight storage memory of 442KB, and can support 1-, 2-, 4-, and 8-bit weights (supporting networks of up to 3.5 million weights). The CNN weight memory is SRAM-based, so AI network updates can be made on the fly. The CNN engine also has 512KB of data memory. The CNN architecture is highly flexible, allowing networks to be trained in conventional toolsets like PyTorch and TensorFlow®, then converted for execution on the MAX78000 using tools provided by Maxim.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
DS28E50: DeepCover Secure SHA-3 Authenticator with ChipDNA PUF Protection
The DS28E50 secure authenticator combines FIPS202-compliant secure hash algorithm (SHA-3) challenge and response authentication with Maxim’s patented ChipDNA™ technology, a physically unclonable function (PUF) to provide a cost-effective solution with the ultimate protection against security attacks. The ChipDNA implementation utilizes the random variation of semiconductor device characteristics that naturally occur during wafer fabrication. The ChipDNA circuit generates a unique output value that is repeatable over time, temperature, and operating voltage. Attempts to probe or observe ChipDNA operation modifies the underlying circuit characteristics thus preventing discovery of the unique value used by the chip cryptographic functions. The DS28E50 utilizes the ChipDNA output as key content to cryptographically secure all device-stored data. With ChipDNA capability, the device provides a core set of cryptographic tools derived from integrated blocks including a SHA-3 engine, a FIPS/NIST compliant true random number generator (TRNG), 2Kb of secured EEPROM, a decrement-only counter and a unique 64-bit ROM identification number (ROM ID). The unique ROM ID is used as a fundamental input parameter for cryptographic operations and serves as an electronic serial number within the application. The DS28E50 communicates over the single-contact 1-Wire® bus at both standard and overdrive speeds. The communication follows the 1-Wire protocol with the ROM ID acting as node address in the case of a multidevice 1-Wire network.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
DS2477: DeepCover Secure SHA-3 Coprocessor with ChipDNA PUF Protection
The DS2477 secure I²C coprocessor with built-in 1-Wire® master combines FIPS202-compliant secure hash algorithm (SHA-3) challenge and response authentication with Maxim’s patented ChipDNA™ feature, a physically unclonable technology (PUF) to provide a cost-effective solution with the ultimate protection against security attacks. The ChipDNA implementation utilizes the random variation of semiconductor device characteristics that naturally occur during wafer fabrication. The ChipDNA circuit generates a unique output value that is repeatable over time, temperature, and operating voltage. Attempts to probe or observe ChipDNA operation modifies the underlying circuit characteristics thus preventing discovery of the unique value used by the chip cryptographic functions. The DS2477 utilizes the ChipDNA output as key content to cryptographically secure all device-stored data. With ChipDNA capability, the device provides a core set of cryptographic tools derived from integrated blocks including a SHA-3 engine, a FIPS/NIST compliant true random number generator (TRNG), 2Kb of secured EEPROM, and a unique 64-bit ROM identification number (ROM ID). The unique ROM ID is used as a fundamental input parameter for cryptographic operations and serves as an electronic serial number within the application. The DS2477 provides the SHA-3 and memory functionality required by a host system to communicate with and operate a 1-Wire SHA-3 slave. In addition, it performs protocol conversion between the I²C master and any attached 1-Wire SHA-3 slaves. For 1-Wire line driving, internal user-adjustable timers relieve the system host processor from generating time-critical 1-Wire waveforms, supporting both standard and overdrive 1-Wire communication speeds. The 1-Wire line can be powered down under software control. Strong pullup features support 1-Wire power delivery for commands that require higher current consumption.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
DS28E39: DeepCover Secure ECDSA Bidirectional Authenticator with ChipDNA PUF Protection
The DS28E39 is an ECDSA public-key-based bidirectional secure authenticator that incorporates Maxim’s patented ChipDNA™ feature, a physically unclonable function (PUF) to provide a cost-effective solution with the ultimate protection against security attacks. Using the random variation of semiconductor device characteristics that naturally occur during wafer fabrication, the ChipDNA circuit generates a unique output value that is repeatable over time, temperature, and operating voltage. Attempts to probe or observe ChipDNA operation modifies the underlying circuit characteristics, preventing discovery of the unique value used by the chip cryptographic functions. The DS28E39 utilizes the ChipDNA output as key content to cryptographically secure all device stored data and optionally, under user control, as the private key for the ECDSA signing operation. With ChipDNA capability, the device provides a core set of cryptographic tools derived from integrated blocks including an asymmetric (ECC-P256) hardware engine, a FIPS/NIST-compliant true random number generator (TRNG), 2Kb of secured EEPROM, a decrement-only counter and a unique 64-bit ROM identification number (ROM ID). The ECC public/private key capabilities operate from the NIST-defined P-256 curve to provide a FIPS 186-compliant ECDSA signature generation function. The unique ROM ID is used as a fundamental input parameter for cryptographic operations and serves as an electronic serial number within the application. The DS28E39 communicates over the single-contact 1-Wire® bus at both standard and overdrive speeds. The communication follows the 1-Wire protocol with the ROM ID acting as node address in the case of a multidevice 1-Wire network.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
DS28E83: DeepCover Radiation Resistant 1-Wire Secure Authenticator
The DS28E83 is a radiation-resistant secure authenticator that provides a core set of cryptographic tools derived from integrated asymmetric (ECC-P256) and symmetric (SHA-256) security functions. In addition to the security services provided by the hardware implemented crypto engines, the device integrates a FIPS-compatible true random number generator (TRNG), 10Kb of secured OTP, one configurable GPIO, and a unique 64-bit ROM identification number (ROM ID).
The ECC public/private key capabilities operate from the NIST defined P-256 curve and include FIPS 186-compliant ECDSA signature generation and verification to support a bidirectional asymmetric key authentication model. The SHA-256 secret key capabilities are compliant with FIPS 180 and are flexibly used either in conjunction with ECDSA operations or independently for multiple HMAC functions.
The ECC public/private key capabilities operate from the NIST defined P-256 curve and include FIPS 186-compliant ECDSA signature generation and verification to support a bidirectional asymmetric key authentication model. The SHA-256 secret key capabilities are compliant with FIPS 180 and are flexibly used either in conjunction with ECDSA operations or independently for multiple HMAC functions.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX16150: nanoPower Pushbutton On/Off Controller and Battery Freshness Seal
The MAX16150 is an extremely low-power, pushbutton, on/off controller with a switch debouncer and built-in latch. This device accepts a noisy input from a mechanical switch and produces a clean, latched output, as well as a one-shot interrupt output, in response to a switch closure exceeding the debounce period at active-low PB_IN. A switch closure longer than shutdown period at active-low PB_IN results in a longer one-shot interrupt output. The MAX16150 family has two set of devices, one in which a longer switch closure greater than the shutdown period de-asserts the latched output, and another in which the latched output stays asserted. See Table 1 for more information.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX38640–MAX38643: Tiny 1.8V to 5.5V Input, 330nA IQ, 700mA nanoPower Buck Converter
The MAX38640–MAX38643 are a nanoPower family of ultra-low 330nA quiescent current buck (step-down) DC-DC converters that operate from 1.8V to 5.5V input voltage and support load currents of up to 175mA, 350mA, 700mA with peak efficiencies of 96%. While in shutdown, there is only 5nA of shutdown current. The devices offer ultra-low quiescent current, small total solution size, and high efficiency throughout the load range. The MAX38640–MAX38643 are ideal for battery applications where long battery life is a must.
The MAX38640–MAX38643 family utilizes a unique control scheme that allows ultra-low quiescent current and high efficiency over a wide output current range. The MAX38642 excludes active discharge resistor in shutdown, which allows the output to be regulated or held high by another source or by the charged output capacitor.
The MAX38640–MAX38643 family utilizes a unique control scheme that allows ultra-low quiescent current and high efficiency over a wide output current range. The MAX38642 excludes active discharge resistor in shutdown, which allows the output to be regulated or held high by another source or by the charged output capacitor.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX40203: Ultra-Tiny Nanopower, 1A Ideal Diodes with Ultra-Low-Voltage Drop
The MAX40203 is an ideal diode current-switch with forward voltage drop that is approximately an order of magnitude smaller than that of Schottky diodes. When forward biased and enabled, the MAX40203 conducts with 90mV of voltage drop while carrying currents as high as 1A. During a short-circuit or a fast power-up, the device limits its output current to 2A. The MAX40203 thermally protects itself and any downstream circuitry from overcurrent conditions.
This ideal diode operates from a supply voltage of 1.2V to 5.5V. The supply current is relatively constant with load current, and is typically 300nA. When disabled (EN = low), the ideal diode blocks voltages up to 6V in either direction, makes it suitable for use in most low-voltage, portable electronic devices.
The MAX40203 is available in a tiny, 0.77mm x 0.77mm, 4-bump wafer-level package (WLP), with a 0.35mm bump pitch and a 5-pin SOT-23 package. It is specified over the automotive -40°C to +125°C temperature range.
This ideal diode operates from a supply voltage of 1.2V to 5.5V. The supply current is relatively constant with load current, and is typically 300nA. When disabled (EN = low), the ideal diode blocks voltages up to 6V in either direction, makes it suitable for use in most low-voltage, portable electronic devices.
The MAX40203 is available in a tiny, 0.77mm x 0.77mm, 4-bump wafer-level package (WLP), with a 0.35mm bump pitch and a 5-pin SOT-23 package. It is specified over the automotive -40°C to +125°C temperature range.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
MAX31342: Low-Current, Real-Time Clock with I2C Interface
The MAX31342 low-current, real-time clock (RTC) is a time-keeping device that provides an extremely low time-keeping current, permitting longer life from a power supply. The MAX31342 supports 6pF high-ESR crystals, which broaden the pool of usable crystals for the devices. This device is accessed through an I2C serial interface. An integrated power-on reset function ensures deterministic default register status upon power-up.
Other features include two time-of-day alarms, interrupt outputs, a programmable square-wave output, and a serial bus timeout mechanism. The clock/calendar provides seconds, minutes, hours, day, date, month, and year information. The date at the end of the month is automatically adjusted for months with fewer than 31 days, including corrections for leap year. The clock operates in 24-hour mode. The MAX31342 also includes an input for synchronization. When a reference clock (e.g., 32kHz, 50Hz/60Hz Power Line, GPS 1PPS) is present at the CLKIN pin and the enable external clock input bit (ECLK) is set to 1, the MAX31342 RTC is frequency-locked to the external clock and the clock accuracy is determined by the external source.
Other features include two time-of-day alarms, interrupt outputs, a programmable square-wave output, and a serial bus timeout mechanism. The clock/calendar provides seconds, minutes, hours, day, date, month, and year information. The date at the end of the month is automatically adjusted for months with fewer than 31 days, including corrections for leap year. The clock operates in 24-hour mode. The MAX31342 also includes an input for synchronization. When a reference clock (e.g., 32kHz, 50Hz/60Hz Power Line, GPS 1PPS) is present at the CLKIN pin and the enable external clock input bit (ECLK) is set to 1, the MAX31342 RTC is frequency-locked to the external clock and the clock accuracy is determined by the external source.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
Integrated Motor Driver and Motion Controller IC
The TMC5130 cDriver™ is an integrated motor driver and motion controller solution for 3D-Printing, CCTV cameras, pumps and other automated equipment applications. The device has an integrated SixPoint™ ramp controller, a microstepping indexer, the sensorless stall detection technology StallGuard2™ and the completely noiseless current control mode StealthChop™ and is intended to drive a bipolar stepper motor. The output driver block consists of low RDSon N-Channel power MOSFETs configured as full H-bridges to drive the motor windings. The TMC5130 is capable of driving up to 2.5A of current from each output (with proper heatsinking). TMC5130 is designed for a supply voltage of 5...46V. The device provides a SPI interface for configuration and diagnostics and a step and direction interface.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
Trinamic Open-Source Ventilator Project
The TOSV demonstrates how a medical ventilator can be build. Based on the TMC4671 and TMC6100 evaluation kit, Trinamic build an open-source reference design in a matter of weeks. Delivering perfect motion control, the TMC4671 controls the airflow via a simple CPAP blower to ensure sensitive lungs are supplied with oxygen without damaging any tissue.
Product category: mHealth, mobile IT, wireless technologies (Bluetooth, WI-FI), Wearable technologies, smart textiles, eHealth, telemedicine / telematics / telemetry
Low-Weight Miniaturized Single Axis Servo Drive for 3-Phase BLDC Motors
The TMCM-1617 is a master key designed especially for medical, robotics and logistics systems in need of smaller and lighter drives. The potted module features hardware-based field oriented control that's integrated and easy to adjust, supporting low-inductance and highly dynamic motors. Capable of previously unachieved high-current loop frequencies to keep the current ripple low, the potted module enables ever-smaller electric drives with extremely high dynamics.
Company news
Date
Topic
11 Nov 2020
Maxim Integrateds Neural Network Accelerator Chip Enables IoT Artificial Intelligence in Battery-Powered Devices
MAX78000 reduces energy consumption and latency by a factor of over 100 to enable complex embedded inference decisions at the IoT edge
SAN JOSE, Calif.—Oct. 7, 2020—The MAX78000 low-power neural network accelerated microcontroller from Maxim Integrated Products, Inc. (NASDAQ: MXIM) moves artificial intelligence (AI) to the edge without performance compromises in battery-powered internet of things (IoT) devices. Executing AI inferences at less than 1/100th the energy of software solutions dramatically improves run-time for battery-powered AI applications, while enabling complex new AI use cases previously considered impossible. These power improvements come with no compromise in latency or cost: the MAX78000 executes inferences 100x faster than software solutions running on low power microcontrollers, at a fraction of the cost of FPGA or GPU solutions.
AI technology allows machines to see and hear, making sense of the world in ways that were previously impractical. In the past, bringing AI inferences to the edge meant gathering data from sensors, cameras and microphones, sending that data to the cloud to execute an inference, then sending an answer back to the edge. This architecture works but is very challenging for edge applications due to poor latency and energy performance. As an alternative, low-power microcontrollers can be used to implement simple neural networks; however, latency suffers and only simple tasks can be run at the edge.
By integrating a dedicated neural network accelerator with a pair of microcontroller cores, the MAX78000 overcomes these limitations, enabling machines to see and hear complex patterns with local, low-power AI processing that executes in real-time. Applications such as machine vision, audio and facial recognition can be made more efficient since the MAX78000 can execute inferences at less than 1/100th energy required by a microcontroller. At the heart of the MAX78000 is specialized hardware designed to minimize the energy consumption and latency of convolutional neural networks (CNN). This hardware runs with minimal intervention from any microcontroller core, making operation extremely streamlined. Energy and time are only used for the mathematical operations that implement a CNN. To get data from the external world into the CNN engine efficiently, customers can use one of the two integrated microcontroller cores: the ultra-low power Arm® Cortex®-M4 core, or the even lower power RISC-V core.
AI development can be challenging, and Maxim Integrated provides comprehensive tools for a more seamless evaluation and development experience. The MAX78000EVKIT# includes audio and camera inputs, and out-of-the-box running demos for large vocabulary keyword spotting and facial recognition. Complete documentation helps engineers train networks for the MAX78000 in the tools they are used to using: TensorFlow or PyTorch.
Key Advantages
Commentary
Availability and Pricing
SAN JOSE, Calif.—Oct. 7, 2020—The MAX78000 low-power neural network accelerated microcontroller from Maxim Integrated Products, Inc. (NASDAQ: MXIM) moves artificial intelligence (AI) to the edge without performance compromises in battery-powered internet of things (IoT) devices. Executing AI inferences at less than 1/100th the energy of software solutions dramatically improves run-time for battery-powered AI applications, while enabling complex new AI use cases previously considered impossible. These power improvements come with no compromise in latency or cost: the MAX78000 executes inferences 100x faster than software solutions running on low power microcontrollers, at a fraction of the cost of FPGA or GPU solutions.
AI technology allows machines to see and hear, making sense of the world in ways that were previously impractical. In the past, bringing AI inferences to the edge meant gathering data from sensors, cameras and microphones, sending that data to the cloud to execute an inference, then sending an answer back to the edge. This architecture works but is very challenging for edge applications due to poor latency and energy performance. As an alternative, low-power microcontrollers can be used to implement simple neural networks; however, latency suffers and only simple tasks can be run at the edge.
By integrating a dedicated neural network accelerator with a pair of microcontroller cores, the MAX78000 overcomes these limitations, enabling machines to see and hear complex patterns with local, low-power AI processing that executes in real-time. Applications such as machine vision, audio and facial recognition can be made more efficient since the MAX78000 can execute inferences at less than 1/100th energy required by a microcontroller. At the heart of the MAX78000 is specialized hardware designed to minimize the energy consumption and latency of convolutional neural networks (CNN). This hardware runs with minimal intervention from any microcontroller core, making operation extremely streamlined. Energy and time are only used for the mathematical operations that implement a CNN. To get data from the external world into the CNN engine efficiently, customers can use one of the two integrated microcontroller cores: the ultra-low power Arm® Cortex®-M4 core, or the even lower power RISC-V core.
AI development can be challenging, and Maxim Integrated provides comprehensive tools for a more seamless evaluation and development experience. The MAX78000EVKIT# includes audio and camera inputs, and out-of-the-box running demos for large vocabulary keyword spotting and facial recognition. Complete documentation helps engineers train networks for the MAX78000 in the tools they are used to using: TensorFlow or PyTorch.
Key Advantages
- Low Energy: Hardware accelerator coupled with ultra-low-power Arm M4F and RISC-V microcontrollers moves intelligence to the edge at less than 1/100th the energy compared to closest competitive embedded solutions.
- Low Latency: Performs AI functions at the edge to achieve complex insights, enabling IoT applications to reduce or eliminate cloud transactions and cuts latency over 100x compared to software.
- High Integration: Low-power microcontroller with neural network accelerator enables complex, real-time insights in battery-powered IoT devices.
Commentary
- "Artificial intelligence is frequently associated with big data cloud-based solutions," said Kelson Astley, research analyst at Omdia. "Anything that can cut the power cord and reliance on big Lithium-Ion battery packs will help developers build AI solutions that are nimbler and more responsive to environmental conditions in which they operate."
- "We've cut the power cord for AI at the edge," said Kris Ardis, executive director for the Micros, Security and Software Business Unit at Maxim Integrated. "Battery-powered IoT devices can now do much more than just simple keyword spotting. We've changed the game in the typical power, latency and cost tradeoff, and we're excited to see a new universe of applications that this innovative technology enables."
Availability and Pricing
- The MAX78000 is available from authorized distributors; pricing available upon request.
- The MAX7800EVKIT# evaluation kit is available for $168.
28 Oct 2020
Maxim Integrateds Health Sensor Platform 3.0 Reduces Development Time of Healthcare Wearables by At Least Six Months
MAXREFDES104# is a wrist form factor reference design ready to collect blood oxygen, ECG, heart rate, body temperature and activity data
SAN JOSE, Calif.—Oct. 28, 2020—Save at least six months of development time using the Health Sensor Platform 3.0 (HSP 3.0) from Maxim Integrated Products, Inc. (NASDAQ: MXIM). Also known as MAXREFDES104#, this ready-to-wear wrist form factor reference design monitors blood oxygen saturation (SpO2), electrocardiogram (ECG), heart rate (HR), body temperature and motion. Included algorithms provide HR, heart-rate variability (HRV), respiration rate (RR), SpO2, body temperature, sleep quality and stress level information at clinical-grade levels. It allows wearable designers to start collecting data immediately, saving at least six months over building these devices from scratch. Designed for wrist-based form factors, HSP 3.0 can be adapted for other dry electrode form factors such as chest patches and smart rings.
Compared to its industry-leading predecessor, Health Sensor Platform 2.0 (HSP 2.0), the HSP 3.0 adds optical SpO2 measurement and dry-electrode capability to the ECG. As a result, it can enable end solutions to monitor cardiac heart and respiratory issues for management of ailments like chronic obstructive pulmonary disease (COPD), infectious diseases (e.g. COVID-19), sleep apnea and atrial fibrillation (AFib). Compared to its predecessor, the narrower form factor and enhanced optical architecture of HSP 3.0 improves signal acquisition quality and uses upgraded microcontroller, power, security and sensing ICs. The reference design includes complete optical and electrode designs, along with algorithms to meet clinical requirements.
Maxim Integrated is at the forefront of the wearable healthcare and remote patient monitoring revolution, enabling personalized healthcare as well as better predictive and preventive healthcare solutions. Medical professionals and end-users are using the wealth of health insights from these wearables. They can more proactively manage chronic conditions, diagnose acute conditions like COVID-19, and also improve preventive care and overall well-being. As more sensing modalities are included in wearables, device developers can take advantage of multiple measurements to improve accuracy of the actionable insights that are being provided to users.
HSP 3.0 or MAXREFDES104# includes the following sensor, power management, microcontroller and algorithm products:
Faster Time to Market: Saves at least six months in development time
Clinical-Grade: Accuracy meets regulatory requirements for SpO2 and ambulatory ECG (IEC 60601-2-47)
Covers Key Vital Signs: Addresses the needs of advanced health wearables with SpO2, ECG, HR, HRV, RR, body temperature and motion
Complete Reference Design: Empowers designers to innovate with complete access to source code and design files
Commentary
“Remote patient monitoring of vital signs is more important than ever,” said Dr. Nadia Tsao, principal analyst at IDTechEx. “The pandemic has rapidly accelerated the uptake of digital health services such as telehealth and remote patient monitoring, up to 1,000 percent in some cases. Going forward, remote patient monitoring is going to be critical for preventative health and chronic disease management. We are already seeing billions of dollars in deals, IPOs and investments, even during the height of the pandemic.”
“During these times of the pandemic, there’s a drive towards point of use to monitor clinical-grade measurements such as SpO2, respiration and temperature,” said Andrew Baker, managing director for the Industrial and Healthcare Business Unit at Maxim Integrated. “Developers strive to continue this momentum of remote patient monitoring by creating innovative solutions to provide deeper insight into health conditions, open doors to improve wellness and minimize the amount of time people need to visit healthcare facilities.”
Availability and Pricing
HSP 3.0, also known as MAXREFDES104#, is available with hardware, firmware and algorithms for $400 at Maxim Integrated’s website
All trademarks are the property of their respective owners.
SAN JOSE, Calif.—Oct. 28, 2020—Save at least six months of development time using the Health Sensor Platform 3.0 (HSP 3.0) from Maxim Integrated Products, Inc. (NASDAQ: MXIM). Also known as MAXREFDES104#, this ready-to-wear wrist form factor reference design monitors blood oxygen saturation (SpO2), electrocardiogram (ECG), heart rate (HR), body temperature and motion. Included algorithms provide HR, heart-rate variability (HRV), respiration rate (RR), SpO2, body temperature, sleep quality and stress level information at clinical-grade levels. It allows wearable designers to start collecting data immediately, saving at least six months over building these devices from scratch. Designed for wrist-based form factors, HSP 3.0 can be adapted for other dry electrode form factors such as chest patches and smart rings.
Compared to its industry-leading predecessor, Health Sensor Platform 2.0 (HSP 2.0), the HSP 3.0 adds optical SpO2 measurement and dry-electrode capability to the ECG. As a result, it can enable end solutions to monitor cardiac heart and respiratory issues for management of ailments like chronic obstructive pulmonary disease (COPD), infectious diseases (e.g. COVID-19), sleep apnea and atrial fibrillation (AFib). Compared to its predecessor, the narrower form factor and enhanced optical architecture of HSP 3.0 improves signal acquisition quality and uses upgraded microcontroller, power, security and sensing ICs. The reference design includes complete optical and electrode designs, along with algorithms to meet clinical requirements.
Maxim Integrated is at the forefront of the wearable healthcare and remote patient monitoring revolution, enabling personalized healthcare as well as better predictive and preventive healthcare solutions. Medical professionals and end-users are using the wealth of health insights from these wearables. They can more proactively manage chronic conditions, diagnose acute conditions like COVID-19, and also improve preventive care and overall well-being. As more sensing modalities are included in wearables, device developers can take advantage of multiple measurements to improve accuracy of the actionable insights that are being provided to users.
HSP 3.0 or MAXREFDES104# includes the following sensor, power management, microcontroller and algorithm products:
- MAX86176: Lowest-noise optical photoplethysmography (PPG) and electrical ECG analog front end (AFE), which offers 110dB signal-to-noise ratio (SNR) to add SpO2 saturation capability and over 110dB common mode rejection ratio (CMRR) for dry electrode ECG applications. The device enables synchronous acquisition of PPG and ECG measurements, even with independent sample rates, providing pulse transit time for cardiac health use cases.
- MAX20360: Highly integrated power and battery management power management IC (PMIC) optimized for advanced body-worn health sensing devices. It includes Maxim Integrated’s high-accuracy ModelGauge™ m5 EZ fuel gauge, a sophisticated haptic driver, and a unique low-noise buck-boost converter that maximizes SNR and minimizes power used for optical bio-sensing.
- MAX32666: Bluetooth (BLE)-enabled, ultra-low power microcontroller with two Arm® Cortex®-M4F cores and an additional SmartDMA which permits running the BLE stack independently, leaving the two main cores available for major tasks. Moreover, the microcontroller integrates an entire security suite and error correcting code (ECC) on the memories to significantly increase the system’s robustness.
- MAX32670: Ultra-low-power microcontroller dedicated to Maxim Integrated’s world-class PPG algorithms of pulse rate, SpO2, HRV, RR, sleep quality monitoring and stress monitoring. It can be configured either as a sensor hub to support firmware and algorithms or as an algorithm hub to support multiple algorithms. The MAX32670 seamlessly enables customer-desired sensor functionality, including managing the MAX86176 PPG and ECG sensor AFE as well as delivering either raw or calculated data to the outside world.
- MAX30208: The low-power, high-accuracy digital temperature sensor comes in a small package size of 2mm x 2mm. It has 33 percent lower operating current compared to the closest competitive solution. It reads the temperature on the top of the package and can be mounted on a flex cable or PCB, making it easier to design into wearables. With accuracy of 0.1-degrees Celsius, the MAX30208 meets clinical temperature requirements.
Faster Time to Market: Saves at least six months in development time
Clinical-Grade: Accuracy meets regulatory requirements for SpO2 and ambulatory ECG (IEC 60601-2-47)
Covers Key Vital Signs: Addresses the needs of advanced health wearables with SpO2, ECG, HR, HRV, RR, body temperature and motion
Complete Reference Design: Empowers designers to innovate with complete access to source code and design files
Commentary
“Remote patient monitoring of vital signs is more important than ever,” said Dr. Nadia Tsao, principal analyst at IDTechEx. “The pandemic has rapidly accelerated the uptake of digital health services such as telehealth and remote patient monitoring, up to 1,000 percent in some cases. Going forward, remote patient monitoring is going to be critical for preventative health and chronic disease management. We are already seeing billions of dollars in deals, IPOs and investments, even during the height of the pandemic.”
“During these times of the pandemic, there’s a drive towards point of use to monitor clinical-grade measurements such as SpO2, respiration and temperature,” said Andrew Baker, managing director for the Industrial and Healthcare Business Unit at Maxim Integrated. “Developers strive to continue this momentum of remote patient monitoring by creating innovative solutions to provide deeper insight into health conditions, open doors to improve wellness and minimize the amount of time people need to visit healthcare facilities.”
Availability and Pricing
HSP 3.0, also known as MAXREFDES104#, is available with hardware, firmware and algorithms for $400 at Maxim Integrated’s website
All trademarks are the property of their respective owners.
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About Maxim Integrated
Maxim Integrated, an engineer’s engineering company, exists to solve the designer’s toughest problems in order to empower design innovation. Our broad portfolio of high-performance semiconductors, combined with world-class tools and support, delivers essential analog solutions including efficient power, precision measurement, reliable connectivity and robust protection along with intelligent processing. Designers in application areas such as automotive, communications, consumer, data center, healthcare, industrial and IoT trust Maxim to help them quickly develop smaller, smarter and more secure designs.
Maxim Integrated, an engineer’s engineering company, exists to solve the designer’s toughest problems in order to empower design innovation. Our broad portfolio of high-performance semiconductors, combined with world-class tools and support, delivers essential analog solutions including efficient power, precision measurement, reliable connectivity and robust protection along with intelligent processing. Designers in application areas such as automotive, communications, consumer, data center, healthcare, industrial and IoT trust Maxim to help them quickly develop smaller, smarter and more secure designs.
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- Imaging and diagnostics / medical equipment & devices
- IT systems and IT solutions