A stress evaluation and personal relaxation system based on measurement of photoplethysmography

Yu Hao Lee, Vincent Shieh, Chih-Lung Lin, Yung Jong Shiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study designed a system for evaluating personal stress by assessing activities of autonomic nervous system (ANS) using heart rate variability (HRV) analysis through Photoplethysmography (PPG) signal. To investigate the performance of stress relaxation, this study also designed an environment with personal preferences. The environment included visional, audio and olfactory elements. Five healthy college students were invited to five days stress task study. The personal preferences of environment were set before experimental procedure. The subjects were required to fill the State-Trait Anxiety Inventory (STAI), and PPG signal was acquired by the developed system during experimental procedure. The experimental procedure was composed with a sequence of initial rest for baseline, relaxation environment after rest, stress task and relaxation environment after stress task. Results indicated that a decrease in STAI and LF/HF was obtained during relaxation environment, whereas increase in STAI and LF/HF was obtained during stress task. These results suggested that an environment with personal preferences may improve helpfully for stress relaxation.

Original languageEnglish
Title of host publicationProceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
PublisherIEEE Computer Society
Pages182-185
Number of pages4
ISBN (Print)9781479931842
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013 - Kitakyushu, Japan
Duration: 2013 Dec 102013 Dec 12

Publication series

NameProceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013

Other

Other2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
CountryJapan
CityKitakyushu
Period13-12-1013-12-12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Signal Processing

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