MAX32674C

RECOMMENDED FOR NEW DESIGNS

Ultra-Low-Power Biometric Algorithm/Sensor Hub

Low-Power Sensor Hub Family Seamlessly Communicates with Several Analog Devices Biometric Sensors

Data Sheet (Rev. 0)

Product Selection Table

Part Models: 2
1ku List Price: price unavailable

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Overview

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

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

Part Models: 2
1ku List Price: price unavailable

Documentation

Data Sheet 1

MAX32674C: Ultra-Low-Power Biometric Algorithm/Sensor Hub Data Sheet (Rev.0) 06/17/2022
- Open Interactive Page

User Guide 1

EVAL-STUDYWATCH45Z User Guide: Study Watch 4.5 User Guide (Rev.0) 06/16/2025

ADI has always placed the highest emphasis on delivering products that meet the maximum levels of quality and reliability. We achieve this by incorporating quality and reliability checks in every scope of product and process design, and in the manufacturing process as well. "Zero defects" for shipped products is always our goal. View our quality and reliability program and certifications for more information.

Part Model	Pin/Package Drawing	Documentation	CAD Symbols, Footprints, and 3D Models
MAX32674CGWG+	24-WLCSP-N/A	Material Declaration Reliablity Data Package Resources	Ultra Librarian SamacSys
MAX32674CGWG+T	24-WLCSP-N/A	Material Declaration Reliablity Data Package Resources	Ultra Librarian SamacSys

Part Models	Product Lifecycle	PCN

Jan 31, 2022 - 2235 DESIGN,ELECTRICAL DA
		pcn_2235
MAX32674CGWG+		pcn_2235

This is the most up-to-date revision of the Data Sheet.

Software Resources

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Evaluation Kits

Study Watch 4.5 User Guide

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Features and Benefits

Device Configuration Block (DCB)
VSM Suite Library Configuration (LCFG)
Low Touch Feature

Product Details

This user guide explains the steps in connecting the ADI Study Watch 4.5 to a Microsoft Windows computer using a universal serial bus (USB) or Bluetooth low energy (BLE) for data streaming or logging, and analyzing the vital signs data using the Application Wavetool software.

ADI Vital Signs Monitoring Watch 4.5 is a product designed to showcase the capabilities of Analog Devices’ biomedical sensors and algorithms for vital sign monitoring.

The Study Watch 4.5 is a wearable, battery-powered device, which enables continuous monitoring and on-demand spot check measurement of photoplethysmography (PPG), electrocardiography (ECG, biopotential based), electrodermal activity (EDA, bioimpedance based), and skin temperature and motion/activity (based on a three-axis accelerometer). The raw sensor data can be parsed through the algorithms embedded within the watch to obtain real-time vital signs such as heart rate (HR), Oxygen saturation (SpO2), and respiration rate (RR).