Abstract
Recent advances in embedded computing systems, wireless and mobile systems, novel sensors, electronic miniaturization, and wearable and implantable systems have enabled us to build the so called body sensor networks (BSN) that combine all the technologies. A BSN allows vital signs to be automatically collected. This data may be then integrated into the patient medical record so that hospitals and care providers can have access to the information at any time.
In this paper we present a framework to estimate the trustworthy of signals measured by body sensor network systems. Our approach consists of using strong correlation techniques based on statistical analysis of the data and modeling of the mutual interdependence. This will be the key element to enable the building of trustworthy services based on these systems. In our paper we will present our ideas and some preliminary experiments based on a wearable bioimpedance device that measures breathing, electrocardiogram (ECG) and activity level.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ibarguengoytia P. H., Sucar L.E., Vadera S. (1996) A Probabilistic Model for Sensor Validation. The 12th Conference on Uncertainty in Artificial Intelligence, Portland:32–339.
Ibarguengoytia P. H., Sucar L.E., Vadera S. (2006) A Probabilistic Model for Information and Sensor Validation. The Computer Journal:113–126.
Seppä V.-P., Väisänen J., Kauppinen P., Malmivuo J., Hyttinen J. (2007) Measuring Respirational Parameters with a Wearable Bioimpedance Device. The 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography ICEBI, Graz, Austria: 663–666.
Vuorela T., Seppä V.-P., Vanhala J., Hyttinen J. (2007) Wireless measurement system for bioimpedance and ECG. The 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography ICEBI, Graz, Austria:248–251.
A. Yang P. Kuryloski S. Iyengar S. Sastry, Bajcsy R. (2008) Distributed Segmentation and Classification of Human Actions Using a Wearable Motion Sensor Network. Workshop on Human Communicative Behavior Analysis.
Seppä V.-P., Lahtinen O., Väisänen J., Hyttinen J. (2008) Assessment of Breathing Parameters during Running with a Wereable Bioimpedance Device. The 4th European Congress for Medical and Biomedical Engineering.
Montgomery D., Runger G. (1999) Applied Statistics and Probability for Engineers. John Wiley and Sons, Inc.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Giani, A., Seppä, VP., Hyttinen, J., Bajcsy, R. (2009). Building Trust on Body Sensor Network Signals. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_211
Download citation
DOI: https://doi.org/10.1007/978-3-540-89208-3_211
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89207-6
Online ISBN: 978-3-540-89208-3
eBook Packages: EngineeringEngineering (R0)