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A milestone between phase 0 and phase 1.

A project log for Early and low cost detection of Heart Failure

Heart Failure is a debilitating condition that most old people encounters. A PoC uses coded signals, Doppler and a sound ML classifier.

jean-pierre-le-rouzicJean Pierre Le Rouzic 06/11/2017 at 10:350 Comments

When I started this project I stated there would be several phases:

- The phase 0: Fetal Doppler and Linux box, which was possible for you to implement from the onset thanks to the code from Physionet 2016.

- The phase 1 is a dedicated device (Arduino?) combining a 3Mhz ultrasound probe and associated software .

- The phase 2 hardware (phase 1 + fibrous tissue detection) will be also under a BSD or MIT license.

Today we achieved a milestone between phase 0 and phase 1. A HMM software for Hjerte has been uploaded on Github in the master branch.
https://github.com/Hjertesvikt/Hjerte

It enables to train a HMM and classify another heart sound file with respect to this HMM. This software addresses the limitation I perceived in the Physionet code (no GUI, huge computing needs, black box solution). There is still no device, so you still have to use a Linux box (whatever kind as long as it runs Java 1.2) with a commercial low cost Fetal Doppler.

I will now take a break to think about my other HaD project, and then resume the work toward phase 1. Comments or suggestions are heartily welcomed!

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