Biological data tracing and pattern recognition in real-time

  • Stress is a recognized as a predominant disease with growing costs of treatment. The approach presented here is aimed to detect stress using a light weighted, mobile, cheap and easy to use system. The result shows that stress can be detected even in case a person’s natural bio vital data is out of the main range. The system enables storage of measured data, while maintaining communication channels of online and post-processing.

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Metadaten
Author:Wilhelm Daniel ScherzORCiD, Luis Miguel Soria Morillo, Ralf SeepoldORCiDGND
DOI:https://doi.org/10.1007/978-3-319-32703-7_219
ISBN:978-3-319-32703-7
ISBN:978-3-319-32701-3
Parent Title (English):XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016, March 31st-April 2nd 2016, Paphos, Cyprus (IFMBE Proceedings ; Vol. 57)
Publisher:Springer
Place of publication:Cham
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Opac ID:Im Katalog der Hochschule Konstanz ansehen
Release Date:2018/11/20
First Page:1119
Last Page:1124
Open Access?:Nein