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Strategies for Downsampling Electromyographic Signals for Low-Power Wearables

Semester: Spring 2024

Presentation description

Electromyographic (EMG) signals are a measure of the electrical activity within muscles when they contract and are use in the control of prostheses, robotics, exoskeletons, and human-computer interfaces. Most of the power in an EMG signal is contained between 50 and 500 Hz, and most recording devices sample the muscle signals at 1 kHz to fully capture these frequencies. Here we explore which components of EMG signal are critical for control in order to minimize computational input on devices.

Presenter Name: Josh Gubler

Presentation Type: Poster
Presentation Format: In Person
Presentation #B6
College: Engineering
School / Department: Electrical and Computer Engineering
Research Mentor: Connor Olsen
Date | Time: Tuesday, Apr 9th | 10:45 AM