Abstract
Thus far, attention has been paid to the relation between pain and anxiety, which has been studied. On the other hands, the earlier studies have hinted at the importance of considering mental and physical health from a holistic perspective, while taking into consideration the principles that prescribe the chaotic behavior of living organisms. Therefore, the purpose of this study is to use the respiration and pulse waves to examine the nature of the chaotic connection between biosignals involved in people's mental and physical conditions, particularly those involved in the psychological trait of anxiety under a painful stimulus in this case. The results showed that with the high anxiety group, the extent of the synchronicity between their respiration and pulse waves under a painful stimulus increased, while this decreased for the low anxiety group. In other words, chaos dynamics for living systems are expressed in synchronous phenomena for the LLE for respiration and pulse waves. It also implied that these dynamics are prescribed by trait anxiety under a painful stimulus. This has opened up the possibility that, in the future, the cross-correlation function for LLE in pulse waves and respiration will make contributions to treating and assessing chronic pain in the field of clinical medicine.
Original language | English |
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Title of host publication | ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 329-335 |
Number of pages | 7 |
ISBN (Electronic) | 9781479985623 |
DOIs | |
Publication status | Published - 2016 Mar 22 |
Event | International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 - Okinawa, Japan Duration: 2015 Nov 28 → 2015 Nov 30 |
Other
Other | International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 |
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Country/Territory | Japan |
City | Okinawa |
Period | 15/11/28 → 15/11/30 |
Keywords
- anxiety
- Chaos
- pain
- synchronization
ASJC Scopus subject areas
- Signal Processing
- Health Informatics
- Biotechnology
- Artificial Intelligence