Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques

E. Pattyn, E. Pattyn, E. Lutin, E. Lutin, A. Van Kraaij, N. Thammasan, D. Tourolle, I. Kosunen, D. Tump, W. De Raedt, C. Van Hoof, C. Van Hoof, C. Van Hoof

2023

Abstract

Electrodermal activity (EDA) reflects changes in electrical conductivity of the skin via activation of the sympathetic nervous system. Ambulatory EDA measurements bring multiple challenges regarding quality assessment and response detection. A signal quality indicator (SQI) is one method to overcome these. This study aimed to investigate the transferability and generalizability of several open-source state-of-the-art SQIs and response detectors regarding their performance against manually annotated EDA of participants in rest. Three annotators identified artifacts and physiological responses in wrist EDA of 45 participants (10.75 hours). The F1-score, precision, and recall of several state-of-the-art SQIs and response detectors were computed on a subset of the annotated data (n=28). The SQIs and response detectors resulted in F1 scores between 3-16% and 18-32%, respectively. These results indicated that current SQIs and response indicators are not performant enough for EDA of subjects in rest, implying similar or worse outcomes for ambulatory EDA. It is suggested that SQIs must be adjusted based on the used device and set-up.

Paper Citation

in Harvard Style

Pattyn E., Lutin E., Van Kraaij A., Thammasan N., Tourolle D., Kosunen I., Tump D., De Raedt W. and Van Hoof C. (2023). Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS; ISBN 978-989-758-631-6, SciTePress, pages 186-194. DOI: 10.5220/0011640800003414

in Bibtex Style

@conference{biosignals23,
author={E. Pattyn and E. Lutin and A. Van Kraaij and N. Thammasan and D. Tourolle and I. Kosunen and D. Tump and W. De Raedt and C. Van Hoof},
title={Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS},
year={2023},
pages={186-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011640800003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS
TI - Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques
SN - 978-989-758-631-6
AU - Pattyn E.
AU - Lutin E.
AU - Van Kraaij A.
AU - Thammasan N.
AU - Tourolle D.
AU - Kosunen I.
AU - Tump D.
AU - De Raedt W.
AU - Van Hoof C.
PY - 2023
SP - 186
EP - 194
DO - 10.5220/0011640800003414
PB - SciTePress