Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning
Vorberg L, Pflüger S, Richer R, Jäger K, Küderle A, Nassall K, Eskofier B, Rohleder N (2022)
Publication Language: English
Publication Type: Conference contribution, Abstract of a poster
Publication year: 2022
Journal
Publisher: LIPPINCOTT WILLIAMS & WILKINS
City/Town: PHILADELPHIA
Pages Range: A32-A32
Conference Proceedings Title: Psychosomatic Medicine
Event location: Long Beach, CA
Authors with CRIS profile
Robert Richer
Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung
Katharina Jäger
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Arne Küderle
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Katharina Nassall
Lehrstuhl für Gesundheitspsychologie
Björn Eskofier
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Nicolas Rohleder
Lehrstuhl für Gesundheitspsychologie
Additional Organisation(s)
Related research project(s)
Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS)
July 1, 2021 - June 30, 2025
Berührungslose Messung von Stress, seiner Determinanten und Konsequenzen (SFB 1483 EmpkinS D03)
Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS)
July 1, 2021 - June 30, 2025
How to cite
APA:
Vorberg, L., Pflüger, S., Richer, R., Jäger, K., Küderle, A., Nassall, K.,... Rohleder, N. (2022, June). Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
MLA:
Vorberg, Linda, et al. "Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning." Presented at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA Ed. Lippincott Williams & Wilkins, PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS, 2022.
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