Analysis of ECG and EMG data from new biosensors

This is a scientific project in which I analyzed ECG and EMG data from experiments with electrodes fabricated using a novel material.

I used Python to implement digital signal processing methods, outlier detection and temporal averaging to clean the recorded signals. I then used dimensionality reduction and unsupervised learning to identify signals corresponding to a subjects' hand opening and closing and some sign-language letters.

You can find the whole story on the peer-reviewed publication linked below.