Myoelectric prosthesis controlled by AI model using sensor fusion between electromyography and pulse oximetry signals.

Citation Author(s):
Jhon
Espinoza
Karen
Torres
Víctor
Asanza
Submitted by:
Jhon Espinoza
Last updated:
Sun, 04/23/2023 - 19:58
DOI:
10.21227/d7we-mg42
Data Format:
*.csv
License:
Creative Commons Attribution
240 Views
Categories:
Artificial Intelligence
Biophysiological Signals
Sensors
Keywords:
Myoelectric prosthetics, Electromyography, pulse oximetry, Sensor Fusion, artificial intelligence
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Abstract 

The signals of a recording belonging to the Frontside task are shown, the first two corresponding to the electromyography sensors while the others correspond to the infrared and red LED readings of the pulse oximetry sensor.

Instructions: 

Records of tasks performed, total of 400 records, 100 records per task, a total of 4 tasks,

In each record there are 4 columns corresponding the first two to the electromyography sensors while the others correspond to the infrared and red led readings of the pulse oximetry sensor.

 

Comments

nice

Submitted by ravikul rao on Thu, 04/27/2023 - 09:34

The github repository with all the codes developed in this project is available at the following link: https://github.com/jherespi/ProstheticHand-/tree/main

Submitted by Victor Asanza on Thu, 10/05/2023 - 12:11

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