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Volume 18, Issue C, June 2017, Pages 7 - 13

Differences in photoplethysmography morphological features and feature time series between two opposite emotions: Happiness and sadness

Authors
Fei Li, Licai Yang**, Hongyu Shi, Chengyu Liu*
School of Control Science and Engineering, Shandong University, Jinan 250061, China
*Corresponding author. E-mail address: bestlcy@sdu.edu.cn (C. Liu).
**Corresponding author. E-mail address: yanglc@sdu.edu.cn (L. Yang).
Corresponding Authors
Licai Yang, Chengyu Liu
Received 1 October 2016, Accepted 7 February 2017, Available Online 23 February 2017.
DOI
10.1016/j.artres.2017.02.003How to use a DOI?
Keywords
Emotion; Photoplethysmography (PPG); Happiness; Sadness; Morphology feature
Abstract

It has been well established that change in emotion state is associated with the change in physiological signals. This paper aimed to investigate the differences of finger photoplethysmography (PPG) morphological features and feature time series between happiness and sadness emotion states. Fifty-three volunteers were enrolled. Finger PPG signals were recorded under two emotion states with a random measurement order (first happiness emotion measurement then sadness or reverse). Seven morphological features were extracted, including three temporal features (T, T1 and T2), three area features (A, A1 and A2) and one amplitude feature (Amp). Five variability indices from the 5-min feature time series were calculated, including two time-domain indices (SDNN and RMSSD) and three frequency-domain indices (LFn, HFn and LF/HF). Results showed that temporal features T2 and T were critical features for identifying the two emotion states since not only they themselves but also their three frequency-domain variability indices had significant differences between the two emotion states. For area features, only two frequency-domain variability indices of LFn and HFn for A1 feature time series reported significant differences. Amplitude feature Amp itself, as well as its variability indices, did not had significant differences between the two emotion states. These results indicated that temporal features were more sensitive to response to emotion change than area and amplitude features. Moreover, compared with time-domain variability indices, frequency-domain variability indices were more suitable for short-term 5-min time series analysis for exploring the inherent but slight change due to the emotion effect.

Copyright
© 2017 Association for Research into Arterial Structure and Physiology. Published by Elsevier B.V. All rights reserved.
Open Access
This is an open access article distributed under the CC BY-NC license.

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<Previous Article In Issue
Next Article In Issue>
Journal
Artery Research
Volume-Issue
18 - C
Pages
7 - 13
Publication Date
2017/02/23
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.1016/j.artres.2017.02.003How to use a DOI?
Copyright
© 2017 Association for Research into Arterial Structure and Physiology. Published by Elsevier B.V. All rights reserved.
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

risenwbib
TY  - JOUR
AU  - Fei Li
AU  - Licai Yang
AU  - Hongyu Shi
AU  - Chengyu Liu
PY  - 2017
DA  - 2017/02/23
TI  - Differences in photoplethysmography morphological features and feature time series between two opposite emotions: Happiness and sadness
JO  - Artery Research
SP  - 7
EP  - 13
VL  - 18
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2017.02.003
DO  - 10.1016/j.artres.2017.02.003
ID  - Li2017
ER  -