Relationship between Depression Level and Bio-signals by Emotional Stimuli

Eun-Hye Jang, Ah Young Kim, Sang-Hyeob Kim, Han-Young Yu

Abstract

Recent studies in mental/physical health monitoring have noted to improve health and wellbeing with the help of Information and Communication Technology (ICT) and in particular, application of biosensors has mainly done because signal acquisition by non-invasive sensors is relatively simple as well as bio-signal is less sensitive to social/cultural difference. Prior to developing a depression monitoring system based on non-invasive bio-signals, we examined a relationship of depressive level and changes of biological features during exposure of emotional stimuli. Ninety-six subjects’ depressive level was measured by a self-rating depression scale (SDS). Electrocardiogram (ECG) and photoplethysmograph (PPG) were recorded during six baseline and emotional states (interest, joy, neutral, pain, sadness and surprise) and heart rate (HR) and pulse transit time (PTT) were extracted. Pearson’s correlation was conducted to examine the relation of depressive level and biological features. The results showed that relation of depressive level and HR is positive in emotional states and there is a negative correlation between depressive level and PTT. We identified that they are meaningful biological features related to depression.

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Paper Citation


in Harvard Style

Jang E., Kim A., Kim S. and Yu H. (2016). Relationship between Depression Level and Bio-signals by Emotional Stimuli . In Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-197-7, pages 138-141. DOI: 10.5220/0006005301380141


in Bibtex Style

@conference{phycs16,
author={Eun-Hye Jang and Ah Young Kim and Sang-Hyeob Kim and Han-Young Yu},
title={Relationship between Depression Level and Bio-signals by Emotional Stimuli},
booktitle={Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2016},
pages={138-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006005301380141},
isbn={978-989-758-197-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Relationship between Depression Level and Bio-signals by Emotional Stimuli
SN - 978-989-758-197-7
AU - Jang E.
AU - Kim A.
AU - Kim S.
AU - Yu H.
PY - 2016
SP - 138
EP - 141
DO - 10.5220/0006005301380141