Combination of Body Sensor Networks and On-Body Signal Processing Algorithms: the practical case of MyHeart project

  • Authors:

  • J. Luprano;J. Sola;S. Dasen;J. M. Koller;O. Chetelat

  • Affiliations:

  • Centre Suisse d'Electronique et de Microtechnique SA, Switzerland;Centre Suisse d'Electronique et de Microtechnique SA, Switzerland;Centre Suisse d'Electronique et de Microtechnique SA, Switzerland;Centre Suisse d'Electronique et de Microtechnique SA, Switzerland;Centre Suisse d'Electronique et de Microtechnique SA, Switzerland

  • Venue:
  • BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
  • Year:
  • 2006

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Abstract

Smart clothes increase the efficiency of long-term noninvasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However, the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European IST project My- Heart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification.