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

Mohamed Elgendi (), Valeria Galli, Chakaveh Ahmadizadeh and Carlo Menon
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Mohamed Elgendi: MENRVA Research Group, School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
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

Data, 2022, vol. 7, issue 9, 1-12

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.

Keywords: detecting anxiety; biosignal-based anxiety assessment; anxiety screening; improving anxiety management; individual anxiety level prediction; digital health (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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