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SHIELD-EKG-EMG

Original price was: ₹2,879.00.Current price is: ₹2,684.00.

  1. Stackable connectors – up to 6 channels can be stacked and wired to A0-A6 analogue inputs
  2. Calibration signal generation by D4/D9 digital output
  3. Precise trimmer potentiometer for calibration (all boards are shipped completely assembled, tested and calibrated so that you don’t have to do this unless you want to see how things works)
  4. Input connector for standard or active electrodes
  5. Works with both 3.3V and 5V Arduino boards

Out of stock

Description

This is a SHIELD-EKG-EMG which allows Arduino like boards to capture Electrocardiography and Electromyography signals. The shield opens new possibilities to experiment with biofeedback. You can monitor your heartbeat and log your pulse, recognize gestures by monitoring and analyze the muscle activity as it is done in this project.

SHIELD-EKG-EMG converts the analog differential signal (the ECG/EMG biopotentials generated by muscles), attached to its CH1_IN+/CH1_IN- inputs, into a single stream of data as output. The output signal is analog and has to be discretized further with the aim to give the option of digital processing. Typically, this is done via dedicated ADC embedded in the MCU of the baseboard (like OLIMEXINO-328, OLIMEXINO-32U4, OLIMEXINO-STM32, etc).


Features :

  1. Stackable connectors – up to 6 channels can be stacked and wired to A0-A6 analog inputs.
  2. Calibration signal generation by D4/D9 digital output.
  3. Precise trimmer potentiometer for calibration (all boards are shipped completely assembled, tested and calibrated so that you don’t have to do this unless you want to see how things work).
  4. Input connector for standard or active electrodes.
  5. Works with both 3.3V and 5V Arduino boards.

Package Includes :

1 x SHIELD-EKG-EMG Module.


HARDWARE
  • SHIELD-EKG-EMG schematic in PDF format released under Creative Commons Attribution-Share Alike 3.0 United States License
  • SHIELD-EKG-EMG schematic and board in Eagle format released under Creative Commons Attribution-Share Alike 3.0 United States License
SOFTWARE

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