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Validating Features for Atrial Fibrillation Detection from Photoplethysmogram under Hospital and Free-living Conditions.

, , , , , , , and . CinC, www.cinc.org, (2017)

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Detecting Episodes of Brady- and Tachycardia Using Photo-plethysmography at the Wrist in Free-living Conditions., , , , , and . CinC, www.cinc.org, (2017)User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach., , , , and . IEEE Trans. Biomed. Engineering, 63 (4): 788-796 (2016)Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life., and . IEEE Trans. Biomed. Engineering, 58 (9): 2656-2663 (2011)Validating Features for Atrial Fibrillation Detection from Photoplethysmogram under Hospital and Free-living Conditions., , , , , , , and . CinC, www.cinc.org, (2017)Force-Interval Relationships of the Heart Measured With Photoplethysmography During Atrial Fibrillation., , , , , and . CinC, page 1-4. www.cinc.org, (2018)Atrial Fibrillation Detection Using Photo-plethysmography and Acceleration Data at the Wrist., , , , , , , and . CinC, www.cinc.org, (2016)Assessment of Human Ambulatory Speed by Measuring Near-Body Air Flow., and . Sensors, 10 (9): 8705-8718 (2010)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)