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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khan, H.M. Ahmed, B. Jongyoon Choi Gutierrez-Osuna, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA (Jongyoon Choi; Gutierrez-Osuna, R.) || Dept. of Electr. & Comput. Eng., Texas A&M Univ. at Qatar, Doha, Qatar (Khan, H.M.; Ahmed, B.) |
| Abstract | The objective of this paper is to assess the efficacy of deep breathing as a relaxation activity using a wearable stress monitor. For this purpose, we developed a protocol with different mentally stressful activities interleaved with regular sessions of deep breathing. We used three physiological sensors: a heart rate monitor, a respiration sensor, and an electrodermal activity sensor, to extract parameters that are consistent with the dominance of the sympathetic nervous system. Our results indicate that a large number of subjects were not able to perform the paced deep breathing exercise properly, which caused their stress levels to increase rather than to decrease. The study also showed that our wearable stress monitor can be used to monitor breathing technique and assess its effectiveness in relaxing individuals. |
| Starting Page | 1744 |
| Ending Page | 1747 |
| File Size | 1240378 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457702167 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2013.6609857 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stress Biomedical monitoring Heart rate variability Thyristors Autonomic nervous system Monitoring Principal component analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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