This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2803) Fitness Trackers and Smart Pedometers/Accelerometers (610) Wearable Devices and Sensors (988) mHealth for Data Collection and Research (1077) Novel Sensors and Data Acquisition Methods in Cardiology (214) Development and Evaluation of Research Methods, Instruments and Tools (630)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33635, first published .
Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study

Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study

Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study

Authors of this article:

Michael Nissen1 Author Orcid Image ;   Syrine Slim1 Author Orcid Image ;   Katharina Jäger1 Author Orcid Image ;   Madeleine Flaucher1 Author Orcid Image ;   Hanna Huebner2 Author Orcid Image ;   Nina Danzberger2 Author Orcid Image ;   Peter A Fasching2 Author Orcid Image ;   Matthias W Beckmann2 Author Orcid Image ;   Stefan Gradl1 Author Orcid Image ;   Bjoern M Eskofier1 Author Orcid Image
Article Authors Cited by (33) Tweetations (5) Metrics

Journals

  1. Gaiduk M, Seepold R, Madrid N, Orcioni S, Conti M, Ortega J. Initial evaluation of substituting a sleep diary by smartwatch measurement. Procedia Computer Science 2022;207:3376 View
  2. Martins Gnecco V, Pigliautile I, Pisello A. Long-Term Thermal Comfort Monitoring via Wearable Sensing Techniques: Correlation between Environmental Metrics and Subjective Perception. Sensors 2023;23(2):576 View
  3. Song C, Droitcour A, Islam S, Whitworth A, Lubecke V, Boric-Lubecke O. Unobtrusive occupancy and vital signs sensing for human building interactive systems. Scientific Reports 2023;13(1) View
  4. Tolmachev I, Kaverina I, Vrazhnov D, Starikov Y, Starikova E, Korolyuk E, Soldatov A, Buyakov A. Possibilities and limitations of the artificial intelligence-enabled software information devices use for diagnosing and treatment of diseases. Russian Journal of Preventive Medicine 2023;26(4):108 View
  5. Gaiduk M, Seepold R, Martínez Madrid N, Ortega J. Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch. Sensors 2023;23(13):6145 View
  6. Ruyak S, Roberts M, Chambers S, Ma X, DiDomenico J, De La Garza R, Bakhireva L. The effect of the COVID‐19 pandemic on substance use patterns and physiological dysregulation in pregnant and postpartum women. Alcohol: Clinical and Experimental Research 2023;47(6):1088 View
  7. Kim C, Song J, Kim S. Validation of Wearable Digital Devices for Heart Rate Measurement During Exercise Test in Patients With Coronary Artery Disease. Annals of Rehabilitation Medicine 2023;47(4):261 View
  8. Colonna G, Hoye J, de Laat B, Stanley G, Ibrahimy A, Tinaz S, Morris E. Measuring Heart Rate Accurately in Patients With Parkinson Disease During Intense Exercise: Usability Study of Fitbit Charge 4. JMIR Biomedical Engineering 2023;8:e51515 View
  9. Wang T, Wu H, Wang W, Chen C, Chien W, Chu C, Wu Y. Assessment of Heart Rate Monitoring During Exercise With Smart Wristbands and a Heart Rhythm Patch: Validation and Comparison Study. JMIR Formative Research 2023;7:e52519 View
  10. Effah Kaufmann E, Tackie R, Pitt J, Mba S, Akwetey B, Quaye D, Mills G, Nyame C, Bulley H, Glucksberg M, Ghomrawi H, Appeadu-Mensah W, Abdullah F, Larizza C. Feasibility of Leveraging Consumer Wearable Devices with Data Platform Integration for Patient Vital Monitoring in Low-Resource Settings. International Journal of Telemedicine and Applications 2024;2024:1 View
  11. Lang A, Bruhn R, Fehling M, Heidenreich A, Reisdorf J, Khanyaree I, Henningsen M, Remschmidt C. Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study. JMIR mHealth and uHealth 2024;12:e50135 View
  12. Volpes G, Valenti S, Genova G, Barà C, Parisi A, Faes L, Busacca A, Pernice R. Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements. Biosensors 2024;14(4):205 View
  13. Abeltino A, Riente A, Bianchetti G, Serantoni C, De Spirito M, Capezzone S, Esposito R, Maulucci G. Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art. Nutrition Reviews 2025;83(2):e574 View
  14. Jafarlou S, Azimi I, Lai J, Wang Y, Labbaf S, Nguyen B, Qureshi H, Marcotullio C, Borelli J, Dutt N, Rahmani A, Chang L. Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications. PLOS ONE 2024;19(6):e0298949 View
  15. Lima C, Bertocco F, de Oliveira J, de Souza T, da Silva E, Von Zuben F. Assessment of Samsung Galaxy Watch4 PPG-Based Heart Rate During Light-to-Vigorous Physical Activities. IEEE Sensors Letters 2024;8(7):1 View
  16. Doheny E, Renerts K, Braun A, Werth E, Baumann C, Baumgartner P, Morgan-Jones P, Busse M, Lowery M, Jung H. Assessment of Fitbit Charge 4 for sleep stage and heart rate monitoring against polysomnography and during home monitoring in Huntington’s disease. Journal of Clinical Sleep Medicine 2024;20(7):1163 View
  17. Ceugniez M, Devanne H, Hermand E. Reliability and Accuracy of the Fitbit Charge 4 Photoplethysmography Heart Rate Sensor in Ecological Conditions: Validation Study. JMIR mHealth and uHealth 2025;13:e54871 View
  18. Hoa Nguyen H, Bui L, Tran T, Thuy Nguyen N, Phuong A, Pham H, Taylor-Robinson A, Duc T, Thanh Nguyen H. The i-CanManage program to improve exercise and symptom management for Vietnamese women after cancer: A pilot randomized controlled trial protocol. DIGITAL HEALTH 2024;10 View
  19. Hermans F, Arents E, Blondeel A, Janssens W, Cardinaels N, Calders P, Troosters T, Derom E, Demeyer H. Validity of a Consumer-Based Wearable to Measure Clinical Parameters in Patients With Chronic Obstructive Pulmonary Disease and Healthy Controls: Observational Study. JMIR mHealth and uHealth 2024;12:e56027 View
  20. Schweizer T, Gilgen-Ammann R. Wrist-Worn and Arm-Worn Wearables for Monitoring Heart Rate During Sedentary and Light-to-Vigorous Physical Activities: Device Validation Study. JMIR Cardio 2025;9:e67110 View
  21. Hamm‐Faber T, Arnts I, Henssen D, van Gorp E, van Haren F, van Dongen R, Engels Y, Vissers K. Feasibility of collecting objective data and exploring patient's experiences on physical activity in persistent spinal pain syndrome type 2 patients receiving spinal cord stimulation: A mixed feasibility study. Pain Practice 2025;25(3) View
  22. Hamm-Faber T, Vissers K, Bronkhorst E, Arnts I, Gültuna I, van Haren F, Wensing C, Engels Y, Henssen D. Is There a Correlation Between Objective Measurement Tools and Self-Reporting Questionnaires To Evaluate Physical Activity and Health Status in Patients With Persistent Spinal Pain Syndrome Type 2 Before and After Spinal Cord Stimulation? Outcomes of a Feasibility Study. Neuromodulation: Technology at the Neural Interface 2025 View
  23. Um J, Park J, Lee D, Ahn J, Baek J. Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study. Psychiatry Investigation 2025;22(2):156 View
  24. Braem C, Pasman W, van den Broek T, Caspers M, Jagers F, Yavuz U, Hermens H, Veltink P, Wopereis S. The association of physical activity, heart rate and sleep from an activity tracker with weight loss during a 6-month personalized combined lifestyle intervention: a retrospective analysis. BMC Digital Health 2025;3(1) View
  25. Miranda J, Browne R, da Silva W, Rodrigues dos Santos J, Campbell C, Ramos I. Effects of a Session of Exergames and Traditional Games on Inhibitory Control in Children With Autism Spectrum Disorder: Randomized Controlled Crossover Trial. JMIR Serious Games 2025;13:e65562 View
  26. Lu J, Wang W, Goh J, Maier A. Selecting Wearable Devices to Measure Cardiovascular Functions in Community-Dwelling Adults: Application of a Practical Guide for Device Selection. Mayo Clinic Proceedings: Digital Health 2025;3(2):100202 View
  27. YARAR G, AKYÜZ E, AYDIN Ö, TELLİ E, FARSAK M. Flexible and wearable energy technologies: A lithium-ion battery perspective. Journal of Alloys and Compounds 2025;1025:180103 View

Books/Policy Documents

  1. Carbonaro N, Laurino M, Greco A, Marinai C, Giannetti F, Righetti F, Di Rienzo F, Rho G, Arcarisi L, Zanoletti M, Bufano P, Tesconi M, Sgambelluri N, Menicucci D, Vallati C, Tognetti A. MEDICON’23 and CMBEBIH’23. View

Conference Proceedings

  1. Yang Z, Azimi I, Jafarlou S, Labbaf S, Borelli J, Dutt N, Rahmani A. 2023 IEEE 19th International Conference on Body Sensor Networks (BSN). Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings View
  2. Yamsaengsung S, Khajontantichaikun T, Watanapa B, Jaiyen S, Vanijja V, Mongkolnam P, Treerattanaphan C, Likitthanasate P. 2023 27th International Computer Science and Engineering Conference (ICSEC). Comparing and Normalizing the Measurement of Step Counts and Heart Rates of Selected Wristbands and Smartwatches View
  3. Villalba-Bravo R, Ruiz-Barroso P, Castro F, Trujillo-León A, Guil N, Vidal-Verdú F. 2024 IEEE SENSORS. Deep Neural Network to Remove Motion Artifacts from Heart Rate Sensor Embedded on Handle Cane View
  4. Coelli S, Carrara M, Bianchi A, De Tommaso M, Actis-Grosso R, Reali P. 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). Comparing Consumer and Research-Grade Wristbands for Inter-Beat Intervals Monitoring View
  5. Shahriary A, Taghiyareh F, Bijary F, Mahmoudi M. 2024 11th International Symposium on Telecommunications (IST). Analyzing The Impact Of Sleep Quality On Cognitive Abilities Using Game-Based Assessment View