Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients

  • Gruenerbl A
  • Osmani V
  • Bahle G
 et al. 
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Abstract

In this paper we demonstrate how smart phone sensors,
specifically inertial sensors and GPS traces, can be used as
an objective “measurement device” for aiding psychiatric diagnosis.
In a trial with 12 bipolar disorder patients conducted
over a total (summed over all patients) of over 1000 days (on
average 12 weeks per patient) we have achieved state change
detection with a precision/recall of 96%/94% and state recognition
accuracy of 80%. The paper describes the data collection,
which was conducted as a medical trial in a real life every
day environment in a rural area, outlines the recognition
methods, and discusses the results.

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Authors

  • Agnes Gruenerbl

  • Venet Osmani

  • Gernot Bahle

  • Jose C. Carrasco

  • Stefan Oehler

  • Oscar Mayora

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