IEEE Transactions on Instrumentation and Measurement · 2018 · 227 citations · 126 references
EngineeringBioengineeringBiomedical EngineeringBioinstrumentationBiomedical Signal ProcessingSensor FusionCardiovascular MonitoringWearable Health TechnologiesAccuracyHeart RateHeart Rate MeasurementHeart Rate MonitoringMotion ArtifactsNoncontact MappingNoncontact MeasurementPhotoplethysmography
Heart rate (HR) estimation and monitoring is of great importance to determine a person's physiological and mental status. Recently, it has been demonstrated that HR can be remotely retrieved from facial video-based photoplethysmographic signals captured using professional or consumer-level cameras. Many efforts have been made to improve the detection accuracy of this noncontact technique. This paper presents a timely, systematic survey on such video-based remote HR measurement approaches, with a focus on recent advancements that overcome dominating technical challenges arising from illumination variations and motion artifacts. Representative methods up to date are comparatively summarized with respect to their principles, pros, and cons under different conditions. Future prospects of this promising technique are discussed and potential research directions are described. We believe that such a remote HR measurement technique, taking advantages of unobtrusiveness while providing comfort and convenience, will be beneficial for many healthcare applications.
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