Introducing the SHIELD-EKG-EMG, an innovative device enabling Arduino-compatible boards to capture Electrocardiography (ECG) and Electromyography (EMG) signals. This shield opens up exciting possibilities for biofeedback experimentation, allowing users to monitor their heartbeat, log pulse data, and explore gesture recognition by analyzing muscle activity, as showcased in this project.
The SHIELD-EKG-EMG functions by converting analog differential signals (the ECG/EMG biopotentials generated by muscles) from its CH1_IN+/CH1_IN- inputs into a consolidated stream of analog output data. To facilitate digital processing, the output signal needs further discretization. This is typically achieved through a dedicated Analog-to-Digital Converter (ADC) embedded in the Microcontroller Unit (MCU) of the baseboard, such as OLIMEXINO-328, OLIMEXINO-32U4, OLIMEXINO-STM32, and others. This integration enhances the capability for advanced digital signal processing and analysis.
Package Includes:
1 x SHIELD-EKG-EMG Module.
EasyMech Black Acrylic Case for 7-Inch Touch Screen Display
Winsen MH-Z19C NDIR CO2 Sensor for HVAC and IAQ
Waveshare 5inch 800×480 Capacitive Touch Display for Raspberry Pi with DSI Interface
SeeedStudio Grove Base Kit for Raspberry Pi
Raspberry Pi Pico W
E32-900T30D LoRa 862 to 915 MHz SX1276 Wireless Transmitter and Receiver RF Module
Official Raspberry Pi 5 Active Cooler
SmartElex RLS-08 Analog & Digital Line Sensor Array
Uno R3 compatible with Arduino + Cable + Transparent acrylic case for Uno R3
Ready to Sky Plastic Landing Gear for Quadcopter
Pixhawk 2.4.8 Basic Flight Controller kit with GPS Module
Official Raspberry Pi 6 mm Wide Angle Lens for Pi High Quality Camera 





There are no reviews yet.