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Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net

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  • Fenghua Li
  • Peida Xu
  • Shichun Zheng
  • Wenfeng Chen
  • Yang Yan
  • Suo Lu
  • Zhengkui Liu

Abstract

Detecting psychological stress in daily life is useful to stress management. However, existing stress-detection models with only heartbeat/pulse input are limited in prediction output granularity, and models with multiple prediction levels output usually require additional bio-signal other than heartbeat, which may increase the number of sensors and be wearable unfriendly. In this study, we took a novel approach of incremental pulse rate variability and elastic-net regression in predicting mental stress. Mental arithmetic task paradigm was used during the experiments. A total of 178 participants involved in the model building, and the model was verified with a group of 29 participants in the laboratory and 40 participants in a 14-day follow-up field test. The result showed significant median correlations between self-report and model-prediction stress levels (cross-validation: r = 0.72 (p 

Suggested Citation

  • Fenghua Li & Peida Xu & Shichun Zheng & Wenfeng Chen & Yang Yan & Suo Lu & Zhengkui Liu, 2018. "Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 15501477188, September.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:9:p:1550147718803298
    DOI: 10.1177/1550147718803298
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    References listed on IDEAS

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    1. Ali Hassan Sodhro & Li Chen & Aicha Sekhari & Yacine Ouzrout & Wanqing Wu, 2018. "Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477177, January.
    2. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    3. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
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