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Predicting energy expenditure from photo-plethysmographic measurements of heart rate under beta blocker therapy: Data driven personalization strategies based on mixed models.

, , , , , , and . EMBC, page 7642-7646. IEEE, (2015)

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How Accurately Can We Detect Atrial Fibrillation Using Photoplethysmography Data Measured in Daily Life?, , , , , , and . CinC, page 1-4. IEEE, (2019)Detecting Episodes of Brady- and Tachycardia Using Photo-plethysmography at the Wrist in Free-living Conditions., , , , , and . CinC, www.cinc.org, (2017)Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data., , , , , , and . IEEE J. Biomed. Health Informatics, 24 (6): 1610-1618 (2020)Validating Features for Atrial Fibrillation Detection from Photoplethysmogram under Hospital and Free-living Conditions., , , , , , , and . CinC, www.cinc.org, (2017)Predicting energy expenditure from photo-plethysmographic measurements of heart rate under beta blocker therapy: Data driven personalization strategies based on mixed models., , , , , , and . EMBC, page 7642-7646. IEEE, (2015)Atrial Fibrillation Detection Using Photo-plethysmography and Acceleration Data at the Wrist., , , , , , , and . CinC, www.cinc.org, (2016)Force-Interval Relationships of the Heart Measured With Photoplethysmography During Atrial Fibrillation., , , , , and . CinC, page 1-4. www.cinc.org, (2018)