This seizure detector uses a (Pebble)[http://getpebble.com] smart watch. The watch has an accelerometer and vibrator motor and a bluetooth radio to talk to another computer. Most importantly, it comes with instructions to write code for it on the manufacturers (web site)[http://developer.getpebble.com].

So it is an ideal platform for an accelerometer based seizure detector similar to the Arduino based one I made in 2013. For more details see the (OpenSeizuredetector)[http://openseizuredetector.org.uk] web site.

It is based on an accelerometer monitoring movement. It uses a fourier transform to extract the frequency spectrum of the movement, and monitors movements in a given frequency band. The idea is that it will detect the rhythmic movements associated with a seizure, but not normal day to day activities.

If the acceleration within the given frequency band is more than a threshod value, it starts a timer. If the acceleration remains above the threshold for a given period, it issues a warning beep. If it remains above the threshold for a longer specified period, the unit alarms (continuous tone rather than beep).

My code is licenced under the GNU Public Licence - for associated libraries please see Credits below.

The following libraries are used:

• (SYLT-FFT)[https://github.com/stg/SYLT-FFT] by D. Taylor.
• (NanoHTTPD)[https://github.com/NanoHttpd/nanohttpd]
• (jQuery)[http://jquery.org]
• (jBeep)[http://www.ultraduz.com.br]
• (Chartjs)[http://www.chartjs.org]
• (MPAndroidChart)[https://github.com/PhilJay/MPAndroidChart]

Logo based on "Star of life2" by Verdy p - Own work. Licensed under Public Domain via Wikimedia Commons.

Other icons crated using http://romannurik.github.io/AndroidAssetStudio.

Graham Jones, 01 March 2015. (grahamjones139+sd@gmail.com)