PROJECT BREAKDOWN

To demonstrate that EMG signals can be used in VR systems in the context of biofeedback therapy, we wanted to develop a visualization tool that provides visual renderings of the patient's arm while they are moving it with relative accuracy. Furthermore, we wanted this visualization tool to have a monitoring functionality that detects whether the patient is experiencing any irregularities during the therapy session and keeps track of patient progress during therapy by recording important signal features. To accomplish the objectives for this visualization tool, we developed the above project flow chart to help guide our progress:

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1. We will use wavelet filtering for de-noising the EMG signals and preparing them for further analyses

2. We will use power spectrum analysis to extract signal features that can be used to distinguish one signal from another

3. We will use classification tools to develop a classifier that detects whether there are irregularities with a patient's EMG signal

4. We will use multiple data transforms (both linear and non-linear) to convert the collected EMG signal to a signal that can be readily interpreted by an existing physics multi-body simulator (Simscape)

5. We will combine the outputs of the classifier and the visual rendering into a single visualization tool GUI