A graphical user interface for feature extraction from heart- and breathing biosignals.
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Updated
Aug 24, 2024 - Python
A graphical user interface for feature extraction from heart- and breathing biosignals.
Testing the Muse S Athena and trial stimulus markers using a simple paradigm whereby the participant must categorise 612 faces (102 unique faces, with six repetitions each) as being either "male" or "female" through a simple keyboard response.
MATLAB code for processing and analysing sEMG signals to study neuromuscular asymmetry in forearms. Developed for a BSc in Electrical and Computer Engineering at the Polytechnic Institute of Bragança (IPB). The code uses a mix of Portuguese and English.
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