Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning-Reference-Cited by-同舟云学术

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Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning

Published:2023-10-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Vorberg Linda¹,Pflueger Siri¹,Richer Robert¹,Jaeger Katharina M.¹,Küderle Arne¹,Rohleder Nicolas²,Eskofier Bjoern M.¹

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany

2. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Chair of Health Psychology,Erlangen,Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313401.pdf?arnumber=10313401

Reference19 articles.

1. Stressverarbeitungsfragebogen: (SVF); mit SVF 120;janke,1997

2. Classification of Acute Stress-Induced Response Patterns

3. CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling

4. Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change

5. Association between Cardiac Autonomic Function and Coping Style in Healthy Subjects

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