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Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination

Authors:

Mobyen Uddin Ahmed, Hamidur Rahman, Shahina Begum

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

15th International Conference on Wearable, Micro & Nano technologies for Personalized Health

Abstract

This paper presents a quality index (QI) analysis on R-peak extracted by a camera system considering movements and light illumination. Here, the proposed camera system is compared with a reference system named Shimmer PPG sensor. The study considers five test subjects with a 15 minutes measurement protocol, where the protocol consists of several conditions. The conditions are: normal sittings, head movements i.e., up/down/left/right/forward/backword, with light on/off and with moving flash on/off. A percentage of corrected R-peaks are calculated based on time difference in milliseconds (MS) between the R-peaks extracted both from camera-based and sensor-based systems. A comparison results between normal, movements, and lighting condition is presented as individual and group wise. Furthermore, the comparison is extended considering gender and origin of the subjects. According to the results, more than 90% R-peaks are correctly identified by the camera system with 200 MS time differences, however, it decreases with while there is no light than when it is on. At the same time, the camera system shows more 95% accuracy for European than Asian men.

Bibtex

@inproceedings{Ahmed5092,
author = {Mobyen Uddin Ahmed and Hamidur Rahman and Shahina Begum},
title = {Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination },
month = {June},
year = {2018},
booktitle = {15th International Conference on Wearable, Micro {\&} Nano technologies for Personalized Health },
url = {http://www.es.mdu.se/publications/5092-}
}