Monitoring Emotions of Depressive Patients using Wearable Sensors

Marko Topalovic1, Isabeau Vrancken1, Deborah Piette2, Vasileios Exadaktylos1, Daniel Berckmans1, Stephan Claes3, Jean-Marie Aerts1

  • 1KU Leuven
  • 2M3-BIORES, KU Leuven
  • 3UZ Leuven

Details

09:05 - 09:55 | Fri 17 Feb | Ballroom D | FrRAF.25

Session: Rapid Fire Session 03: Sensor Informatics II

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Abstract

The aim of this study was to link emotional experience with heart rate and activity in depressed patients. To reach this goal, a linear AutoRegressive model with eXogenous inputs (ARX) was developed with activity as input and heart rate as output for every individual patient. Descriptive parameters from the model were able to register stress as compared with the results of a questionnaire assessing emotions.