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.
Physiological Data Acquisition Tool for Low Cost Computer Systems
Python controller designed to work with BITalino boards through plugins
A strange game. You win by not thinking about it.
Open-source desktop app for real-time BITalino biosignal acquisition over BLE. Currently supports EDA on A3 with Raw EDA, SCL, and SCR visualization and CSV recording, providing a foundation for feature extraction and future stress-classification workflows.
Sinais eletrofisiológicos se transformam em luz
Holter Monitor for cardiac Arrhythmia detection (Bradycardia or Tachycardia), based on signals received via BITalino.
This script connects to a BITalino device via Bluetooth, get readings for 1 min for baseline, then plays a video and records the readings during the video.
Stress test triggering application using Bitalino device via BLE.
Software application that determines the directions of the wheelchair according to the hand gestures
Real-time hand gesture recognition using EMG signals and machine learning. Processes biomedical data to control a Unity game via socket communication. Features signal filtering, feature extraction, and fatigue detection using Python, scikit-learn, and BITalino. Perfect example of end-to-end ML pipeline development.
Extracts theta EEG waves from a bitalino, graphs them and uses them to algorithmically control video cutting based on anxiety
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