Ponencia
Biological data tracing and pattern recognition in real-time
Autor/es | Scherz, W. D.
Soria Morillo, Luis Miguel ![]() ![]() ![]() ![]() ![]() ![]() ![]() Seepold, Ralf |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2022-07-19 |
Publicado en |
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ISBN/ISSN | 978-3-319-32701-3 1680-0737 |
Resumen | 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 sho ws that ... 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 sho ws that stress can be de tected 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. |
Cita | Scherz, W.D., Soria Morillo, L.M. y Seepold, R. (2016). Biological data tracing and pattern recognition in real-time. En MEDICON 2016: XIV Mediterranean Conference on Medical and Biological Engineering and Computing (1119-1124), Paphos, Cyprus: Springer. |
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