Automatic Detection of sleep macrostructure based on a sensorized T-shirt

Bianchi A. M., Mendez M. O.

32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10), Buenos Aires, Argentina, 30 August - 04 September 2010, pp.3606-3609, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iembs.2010.5627432
  • City: Buenos Aires
  • Country: Argentina
  • Page Numbers: pp.3606-3609
  • Keywords: wearable devices, home monitoring, sleep analysis, automatic classification
  • Istanbul University Affiliated: No

Abstract

In the present work we apply a fully automatic procedure to the analysis of signal coming from a sensorized T-shit, worn during the night, for sleep evaluation. The goodness and reliability of the signals recorded trough the T-shirt was previously tested, while the employed algorithms for feature extraction and sleep classification were previously developed on standard ECG recordings and the obtained classification was compared to the standard clinical practice based on polysomnography (PSG). In the present work we combined T-shirt recordings and automatic classification and could obtain reliable sleep profiles, i.e. the sleep classification in WAKE, REM (rapid eye movement) and NREM stages, based on heart rate variability (HRV), respiration and movement signals.