Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

Journal article

Wearable physiological monitors are becoming increasingly commonplace in the consumer domain, but in literature there exists no substantive studies of their performance when measuring the physiology of ambulatory patients. In this Letter, the authors investigate the reliability of the heart-rate (HR) sensor in an exemplar 'wearable' wrist-worn monitoring system (the Microsoft Band 2); their experiments quantify the propagation of error from (i) the photoplethysmogram (PPG) acquired by pulse o...

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Authors: Morelli, D; Bartoloni, L; Colombo, M; Plans, D; Clifton, D

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Institution of Engineering and Technology Publisher's website
• Journal: Healthcare Technology Letters Journal website
• Volume: 5
• Issue: 2
• Pages: 59-64
• Publication date: 2017-07-21
• Acceptance date: 2017-07-19
• DOI: 10.1049/htl.2017.0039
• EISSN: 2053-3713
• ISSN: 2053-3713
• Pmid: 29750114
• Language: English
• Keywords: exemplar wearable wrist-worn monitoring system; consumer domain; medical signal processing; wearable physiological-monitoring device; heart-rate sensor; photoplethysmography; photoplethysmogram; long-duration windows; clinical practice; oximetry; noise; time-domain analysis; patient monitoring; PPG-HRV features; accelerometers; accelerometer sensor; pulse oximetry; acceleration measurement; signal denoising; substantial energy; ambulatory patients; feature extraction; body sensor networks; biomedical equipment; error propagation profiling; high-frequency band; acquired signals; HR estimation; HR variability features; time-domain HRV features