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Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1547-4386
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1212-7637
2018 (English)In: 15th International Conference on Wearable, Micro & Nano technologies for Personalized Health pHealth2018, 2018Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Quality Index Analysis, Camera-based system, R-peak Identification
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-39258OAI: oai:DiVA.org:mdh-39258DiVA, id: diva2:1209621
Conference
15th International Conference on Wearable, Micro & Nano technologies for Personalized Health pHealth2018, 12 Jun 2018, Gjövik, Norway
Projects
HR R-peak detection quality index analysisAvailable from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-05-23Bibliographically approved

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Ahmed, Mobyen UddinRahman, HamidurBegum, Shahina

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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Output format
  • html
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