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.
| 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 |
| Identifier: | Im Katalog der Hochschule Konstanz ansehen |
| Release Date: | 2018/11/20 |
| First Page: | 1119 |
| Last Page: | 1124 |
| Open Access?: | Nein |
