Abstract
Detecting episodes of bradycardia and tachycardia can help identifying the clinical relevance of common cardiac symptoms. This study aimed at investigating whether an unobtrusive wrist-wearable device equipped with a photo-plethysmographic (PPG) and acceleration sensor could be used to detect such rate abnormalities in free-living conditions. Twenty patients (M=55%, age: 67 ± 13 y) reporting cardiac symptoms were monitored for 24 hours in free-living conditions using a portable Holter ECG recorder. Simultaneously, a wrist-wearable device equipped with a PPG and acceleration sensor was used to measure heart rate and the mean inter-pulse-interval (IPI) in 5-sec epochs. ECG-derived inter-beat-intervals (IBI) were used as ground truth for determining episodes of bradycardia (>1200 ms) and tachycardia (<500 ms) during the monitoring period. According to the ECG, the duration of brady- and tachycardia and normal rate lasted a total of 766 min, 64 min, and 27024 min, respectively. Average IPI during bradycardia and tachycardia was 1310 ± 80 ms and 459 ± 37 ms, respectively. IPI data correctly identified episodes of bradycardia (Se: 85.0%, Sp: 99.4%) and tachycardia (Se: 89.1%, Sp: 99.9%). In conclusion, a wrist-wearable device equipped with a PPG sensor can accurately detect rate abnormalities such as brady- and tachycardia in free-living conditions.
| Original language | English |
|---|---|
| Number of pages | 4 |
| Journal | Computing in Cardiology |
| Volume | 44 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Event | 44th Computing in Cardiology Conference (CinC 2017) - Rennes, France Duration: 24 Sept 2017 → 27 Sept 2017 Conference number: 44 |
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Cardiovascular Medicine
van de Laar, L. (Content manager) & Jansen, J. (Content manager)
Impact: Research Topic/Theme (at group level)
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