Pattern recognition techniques and classification sets supporting behavioural tagging when using a limited number of body sensors

  • Stress and physical activities are important aspects of life of people. Body reactions on stress and on physical activities can be very similar but long-term stress leads to diseases and damages the body. Currently there is no method to differentiate easily and clearly between these two aspects in a time slot. We have confronted this problem while developing a mobile system for detection and analysis of stress. This paper presents an approach, which uses a long-term monitor with ECG/EKG capabilities and analysis of the heart rate data that is extracted from the device. The focus of the work is to find characteristics that are useful for differentiation between physical activity and stress.

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Metadaten
Author:Wilhelm Daniel ScherzORCiD, Juan Antonio OrtegaORCiD, Ralf SeepoldORCiDGND, Massimo ContiORCiD
DOI:https://doi.org/10.1007/978-981-10-5122-7_231
ISSN:1680-0737
Parent Title (English):IFMBE Proceedings
Document Type:Conference Proceeding
Language:English
Year of Publication:2017
Release Date:2019/08/06
Tag:ECG; Physical activity; Stress
Issue:65
First Page:924
Last Page:927
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (English):License LogoLizenzbedingungen Springer