Optical Heart Rate Monitoring – Continuous Improvement Strategies

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dc.contributor.authorMoufawad El Achkar, Christopher
dc.contributor.authorRenevey, Philippe
dc.contributor.authorProença, Martin
dc.contributor.authorGerber, Mickael
dc.contributor.authorTheurillat, Patrick
dc.contributor.authorFerrario, Damien
dc.contributor.authorLemay, Mathieu
dc.date.accessioned2025-11-11T15:37:36Z
dc.date.available2025-11-11T15:37:36Z
dc.date.issued2022
dc.description.abstractOptical heart rate monitoring (oHRM) has become a staple in today's wearables. Measuring heart rate in daily life is challenging: algorithms must track pulses at rest, during rhythmic activities (e.g., walking, running, biking), and non-rhythmic activities (e.g., typing, cooking). Accurately measuring heart rate requires a robust algorithm that can handle these different use cases in real-time. At CSEM, the development of oHRM algorithms has undergone continuous improvement and development for the past 2 decades, keeping up with and anticipating user needs in the realm of physiological tracking. In this report, we describe our continuous improvement strategies and the most up-to-date results of our oHRM library.
dc.identifier.citationCSEM Scientific and Technical Report 2022, p. 38
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1772
dc.titleOptical Heart Rate Monitoring – Continuous Improvement Strategies
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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