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Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device

Author

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  • Mohamed Elgendi

    (MENRVA Research Group, School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
    Biomedical and Mobile Health Technology Lab, ETH Zurich, 8008 Zurich, Switzerland)

  • Valeria Galli

    (Biomedical and Mobile Health Technology Lab, ETH Zurich, 8008 Zurich, Switzerland)

  • Chakaveh Ahmadizadeh

    (Biomedical and Mobile Health Technology Lab, ETH Zurich, 8008 Zurich, Switzerland)

  • Carlo Menon

    (MENRVA Research Group, School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
    Biomedical and Mobile Health Technology Lab, ETH Zurich, 8008 Zurich, Switzerland)

Abstract

Portable and wearable devices are becoming increasingly common in our daily lives. In this study, we examined the impact of anxiety-inducing videos on biosignals, particularly electrocardiogram (ECG) and respiration (RES) signals, that were collected using a portable device. Two psychological scales (Beck Anxiety Inventory and Hamilton Anxiety Rating Scale) were used to assess overall anxiety before induction. The data were collected at Simon Fraser University from participants aged 18–56, all of whom were healthy at the time. The ECG and RES signals were collected simultaneously while participants continuously watched video clips that stimulated anxiety-inducing (negative experience) and non-anxiety-inducing events (positive experience). The ECG and RES signals were recorded simultaneously at 500 Hz. The final dataset consisted of psychological scores and physiological signals from 19 participants (14 males and 5 females) who watched eight video clips. This dataset can be used to explore the instantaneous relationship between ECG and RES waveforms and anxiety-inducing video clips to uncover and evaluate the latent characteristic information contained in these biosignals.

Suggested Citation

  • Mohamed Elgendi & Valeria Galli & Chakaveh Ahmadizadeh & Carlo Menon, 2022. "Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device," Data, MDPI, vol. 7(9), pages 1-12, September.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:9:p:132-:d:914654
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    References listed on IDEAS

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    1. Frank R Ihmig & Antonio Gogeascoechea H. & Frank Neurohr-Parakenings & Sarah K Schäfer & Johanna Lass-Hennemann & Tanja Michael, 2020. "On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-20, June.
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