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Ultra-Low-Power Biometric Algorithm/Sensor Hub

Analog Devices

Ultra-Low-Power Biometric Algorithm/Sensor Hub RSS Sample
  • Darmowa próbka
MPN:
MAX32674C
Producent:
ANALOG DEVICES
Dodany do bazy:
Ostatnio widziany:

The MAX32674C is an algorithm/sensor hub with embedded software and world-class algorithms for the fitness and medical wearables market meant to interface directly with Analog Devices' optical sensors. The MAX32674C processes raw data and outputs biometric measurements when configured as an algorithm hub. When configured as a sensor hub, the MAX32674C seamlessly enables customer-desired sensor functionality, including driver communication with Analog Devices optical sensor solutions and delivering raw or calculated data to the outside world. The MAX32674C optimizes system power consumption by sleeping when idle.

Analog Devices provides software algorithms developed by data scientists and machine learning experts for a complete solution—taking raw ADC data and turning it into usable data such as heart rate and SpO2. The device is delivered unprogrammed. The host microcontroller interfaces to an internal bootloader through an I2C slave interface for initial programming or in-field upgrades.

The MAX32674C supports the MAX86176 for wrist-based algorithm hub and sensor hub applications. The sensor hub uses the master mode SPI interface to communicate with the sensors.

The wearable algorithms in the MAX32674C support a directly connected accelerometer when used as a sensor hub. It also supports an indirect connection where the accelerometer is instead connected to the host microcontroller. This architecture provides robust detection and compensation of motion artifacts in captured samples.

The device is packaged in a tiny form factor: 2.50mm x 1.75mm, 0.4mm pitch, 24-pin WLP.

Applications

* Wearable Fitness * Hearables * Wearable Medical * Portable Medical * Mobile Devices

* Analog Devices Supplied Software Enables Faster Time to Market:

* Embedded Algorithms * Example Host Microcontroller Source Code * Complex Sensor Management and Synchronization Handled by the Sensor Hub

* Reduces Host Interactions

* Wrist-Based Algorithms Measure:

* Pulse Heart Rate * Pulse Blood Oxygen Saturation (SpO2) * Heart Rate Variability * Skin Contact Detection * Activity Tracking

* Automatic Exposure Control (AEC) Is a Multidimensional Improvement to Automatic Gain Control (AGC) that Optimizes:

* Analog Front-End LED Currents * Sampling Rate * Pulse Width * Integration Time * Power Consumption and Performance

* Both Raw and Processed Data Are Available * Software/Algorithm Upgradeable * FIFO Provides Minimal Host Interaction * Bootloader Facilitates Secure, Authenticated Software Upgrades

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