SHIELD-EKG-EMG Arduino EKG EMG Sensor Shield Biofeedback Board 3.3V/5V

The SHIELD-EKG-EMG is an open-source biofeedback expansion board from Olimex designed for Arduino-compatible platforms. This specialized shield allows users to capture and analyze electrocardiography (EKG/ECG) heart signals and electromyography (EMG) muscle signals, making it ideal for educational, research, biomedical experimentation, and signal processing applications.

The board stacks directly onto compatible Arduino boards and provides amplified analog outputs for easy interfacing with microcontrollers. It includes onboard signal conditioning stages, adjustable gain calibration, and filtering circuitry to help users obtain clearer biological signals for development projects. It supports both 3.3V and 5V systems, giving compatibility with a wide range of development boards.

This shield is suitable for STEM labs, universities, engineering training centers, healthcare prototyping, and hobbyists interested in biosignal measurement. As open-source hardware, schematics and technical resources are available for learning and customization.

Key Features

.Captures EKG/ECG heart electrical signals.
.Supports EMG muscle activity sensing applications.
.Compatible with Arduino 3.3V and 5V boards.
.Stackable headers allow multi-channel expansion (up to 6 channels).
.Includes onboard calibration signal generation.
.Factory assembled, tested, and calibrated. 

Technical Specifications

.Brand: Olimex
.Part Number: SHIELD-EKG-EMG
.Product Type: Arduino Sensor Shield
.Function: Electrocardiography (EKG), Electromyography (EMG)
.Platform: Arduino Compatible
.Operating Voltage: 3.3V / 5V DC
.Output Type: Analog
.Used ICs: INA321, MCP607, TLC277
.Interface Type: Pass-through Headers
.Channels: Up to 6 stackable boards
.Calibration: Onboard trim potentiometer
.Assembly Status: Fully assembled
.Open Source Hardware: Yes 

Applications

.Heartbeat monitoring projects
.Muscle gesture detection
.Human-machine interface research
.Biomedical signal learning
.Arduino STEM education
.Biofeedback experimentation