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.
Raspberry PIIQ Audio Codec Zero
Waveshare CAN bus Module (B) for Raspberry Pi Pico, enabling long range communication through SPI
WIZnet Ethernet HAT
SONOFF Zigbee 3.0 USB Dongle Plus–ZBDongle-E
ESP32 LoRa SX1278 0.96 Inch Blue OLED Display BT WiFi Module for Arduino
LoRa 433MHZ SX1278 SX1276 Wireless Transmitter and Receiver RF Module 8000M E32-433T30D UART
Waveshare GPIO Expander For Raspberry Pi Pico, 1x Raspberry Pi Standard 40PIN, 1x Pico 2?20PIN 






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