Biomedical Sensor Pad (10 pack)

Kit for measuring muscle activity using electromyography (EMG). Contains everything you need from the MyoWare 2.0 ecosystem to test basic configurations in your applications. SparkFun KIT-25332

Module with an EMG signal detector. The board is equipped with a Grove connector and has an analog output. Seeed Studio 101020058

Module with a pulse sensor and SpO2 level (oxygen saturation level). It is based on the MAX30102 chip and MCU with heart rate and oximetry algorithm. Sensor communicates via the I2C interface. DFRobot SEN0344

The module with a heart rate sensor and the SpO2 level dedicated to micro:bit. It is based on the MAX30102 chip and communicates via the I2C interface. SparkFun SEN-15271

SparkFun Cab-12970

A module with an EMG sensor that detects the activity of human muscles and neurons. Generates an analog signal in the range from 0 to 3 V on the output, it does not require the use of a conductive gel. DFRobot SEN0240

Module with a pulse sensor and the level of SpO2 (oxygen saturation level). It is based on the MAX30102 chip, dedicated to the T-Wristband

Muscle Sensor Surface EMG Electrodes allow you to control your projects with your muscles. Adafruit 2773

Heart rate monitor module based on the MAX30102 chip. Powered with the voltage from 3.3 to 5V, communication via the I2C interface.

Gravity: Heart Rate Monitor Sensor is a sensor used to measure heart activity. Adapted for easy use with Arduino. SparkFun SEN0213

Module with heart rate and SpO2 sensor (oxygen saturation level) MAX30100 designed for M5Stack sets. M5Stack U029

Module with a pulse sensor (heart rate). The board is equipped with a Grove connector and a digital output in the form of pulses. Seeed Studio 101020033

Finger Vein Scanner Module (B) is a thin, energy-efficient biometric module with finger vein detection based on a Cortex-M4F microcontroller, designed for precise user identification in security applications. NIR technology enables effective recognition regardless of the skin surface condition, making the module a reliable alternative to traditional fingerprint readers. Thanks to its compact dimensions and a rich set of accessories, it facilitates integration with smart locks, door handles, access control systems, and compact IoT terminals.

Designed to pair with the MyoWare Muscle Sensor; 10-segment bar graph shows the magnitude of the measured signal. The more muscle activation measured, the higher up the board the lit LEDs will go. DEV-13688

Heart rate measurement module compatible with Arduino and Raspberry Pi (Gravity: Heart Rate Monitor Sensor For Arduino). It uses PPG technique, which in a simple and cheap way is able to measure the changing volume of blood. DFRobot SEN0203

Disposable biomedical electrodes that allow you to perform experimental ECG measurements. DFRobot FIT0510