English summary¶

This project is our end-of-year project of a two-year degree in Computer Sciences in Clermont-Ferrand.
As part of our diploma in Computer Science, we worked on a three-month practical project in a group of 4 developing a system to study human arm movements. The final purpose of which is medical diagnosis of people which had cardiovascular accident.
In order to do the diagnosis, we take the patient into doing a simple test: he has to catch a force sensor in front of him. A healthy patient will describe a linear and constant motion to grab the sensor whereas the accident’s victim will have a non-linear movement and may deviate from his trajectory.
The patient have to wear an embedded system composed of:
- Several sensors: 2 electromyograms to analyse muscles’ activity, an electrocardiogram to measure heart’s activity, an Inertial Measurement Unit to track positions of the hand and a grasping force sensor
- A micro controller RX62T to acquire and treat data
- A Wi-Fi module WizFi 220 to transmit those data to the Man Machine Interface
When the data are treated and ready to be analyzed, they are send to a Man Machine Interface developed in C++ with Qt. It is designed to display the data in several curves, flexible to the user's desire and can also save the data for further analysis or comparison.

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