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RR interval analysis for the distinction between stress, physical activity and no activity using a portable ECG

  • Methods based exclusively on heart rate hardly allow to differentiate between physical activity, stress, relaxation, and rest, that is why an additional sensor like activity/movement sensor added for detection and classification. The response of the heart to physical activity, stress, relaxation, and no activity can be very similar. In this study, we can observe the influence of induced stress and analyze which metrics could be considered for its detection. The changes in the Root Mean Square of the Successive Differences provide us with information about physiological changes. A set of measurements collecting the RR intervals was taken. The intervals are used as a parameter to distinguish four different stages. Parameters like skin conductivity or skin temperature were not used because the main aim is to maintain a minimum number of sensors and devices and thereby to increase the wearability in the future.

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Author:Wilhelm Daniel ScherzORCiD, Ralf SeepoldORCiDGND, Natividad Martinez MadridORCiD, Paolo Crippa, Juan Antonio OrtegaORCiD
Parent Title (English):42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), 20-24 July 2020, Montreal, QC, Canada, virtual
Document Type:Conference Proceeding
Year of Publication:2020
Release Date:2020/12/19
Tag:Stress; Electrocardiography; Stress measurement; Heart rate; Electromyography; Skin
First Page:4522
Last Page:4526
Volltextzugriff für Angehörige der Hochschule Konstanz via IEEE Xplore möglich
Institutes:Fakultät Informatik
DDC functional group:600 Technik, Medizin, angewandte Wissenschaften
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (German):License LogoUrheberrechtlich geschützt