Abstract
In this study, we investigated the effect of time shift in heartrate measurement by wearables, which might to be used in telehealth applications for patients suffering from heart failure. Six wearables commercially available on the market were tested in a 14-hour measurement. Each wearable was tested three times by five different test persons. A reference sensor was used to test the accuracy of the wearables. We found that different types of time shifts are common in the sensors we tested: time shifts of full days, time shifts of full hours (most probably due to incorrect or unspecified time zones) and time shifts in the range of seconds to minutes (most likely stemming from averaging, data transmission, etc.). We conclude that time shifts of all manufacturers need to be corrected prior comparison of a photoplethysmography signal with other signals. However, even after correction of the time shift, the reliability of the sensors seems to be too low for application in telehealth settings. Clinical relevance- This study shows that signals from state-of-the-art wearable photoplethysmography heart rate measurements show significant time shifts and marked differences even if time shifts were corrected. This limits their utility for clinical applications.
Originalsprache | englisch |
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Titel | 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers |
Seiten | 4308-4311 |
Seitenumfang | 4 |
ISBN (elektronisch) | 9781728127828 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2022 - Glasgow, Großbritannien / Vereinigtes Königreich Dauer: 11 Juli 2022 → 15 Juli 2022 |
Konferenz
Konferenz | 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Kurztitel | EMBC 2022 |
Land/Gebiet | Großbritannien / Vereinigtes Königreich |
Ort | Glasgow |
Zeitraum | 11/07/22 → 15/07/22 |
ASJC Scopus subject areas
- Signalverarbeitung
- Biomedizintechnik
- Maschinelles Sehen und Mustererkennung
- Gesundheitsinformatik