Design and development of a photoplethysmography based microsystem for mental stress estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
https://link.springer.com/content/pdf/10.1007/s00542-022-05295-8.pdf
Reference38 articles.
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2. Bonomi AG et al (2016) (2016) Atrial fibrillation detection using photo-plethysmography and acceleration data at the wrist. Comput Cardiol Conf (CinC) 2016:277–280
3. Byun S, Kim AY, Jang EH, Kim S, Choi KW, Yu HY, Jeon HJ (2019) Entropy analysis of heart rate variability and its application to recognize major depressive disorder: a pilot study. Technol Health Care 27(S1):407–424. https://doi.org/10.3233/THC-199037. (PMID:31045557;PMCID:PMC6597986)
4. Cho D, Ham J, Oh J, Park J, Kim S, Lee NK, Lee B (2017) Detection of stress levels from biosignals measured in virtual reality environments using a kernel-based extreme learning machine. Sensors (basel) 17(10):2435. https://doi.org/10.3390/s17102435. (PMID:29064457;PMCID:PMC5677291)
5. Cohen Z, Haxha S (2017) Optical-based sensor prototype for continuous monitoring of the blood pressure. In IEEE Sens J 17(13):4258–4268. https://doi.org/10.1109/JSEN.2017.2704098
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