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

Wearable Devices and Sensors (811)

Published on in Vol 6, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11040, first published .
Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder

Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder

Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder

Authors of this article:

Onur Dur1 Author Orcid Image ;   Colleen Rhoades1 Author Orcid Image ;   Man Suen Ng1 Author Orcid Image ;   Ragwa Elsayed2 Author Orcid Image ;   Reinier van Mourik1 Author Orcid Image ;   Maulik D Majmudar3 Author Orcid Image
Article Authors Cited by (25) Tweetations (2) Metrics

Journals

  1. Billis A, Pandria N, Mouratoglou S, Konstantinidis E, Bamidis P. Development of Cognitive and Physical Exercise Systems, Clinical Recordings, Large-Scale Data Analytics, and Virtual Coaching for Heart Failure Patients: Protocol for the BioTechCOACH-ForALL Project. JMIR Research Protocols 2020;9(5):e17714 View
  2. Zhang Y, Weaver R, Armstrong B, Burkart S, Zhang S, Beets M. Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis. Journal of Sports Sciences 2020;38(17):2021 View
  3. Karampela M, Isomursu M, Porat T, Maramis C, Mountford N, Giunti G, Chouvarda I, Lehocki F. The Extent and Coverage of Current Knowledge of Connected Health: Systematic Mapping Study. Journal of Medical Internet Research 2019;21(9):e14394 View
  4. Green E, van Mourik R, Wolfus C, Heitner S, Dur O, Semigran M. Machine learning detection of obstructive hypertrophic cardiomyopathy using a wearable biosensor. npj Digital Medicine 2019;2(1) View
  5. Leenen J, Leerentveld C, van Dijk J, van Westreenen H, Schoonhoven L, Patijn G. Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review. Journal of Medical Internet Research 2020;22(6):e18636 View
  6. Selder J, Proesmans T, Breukel L, Dur O, Gielen W, van Rossum A, Allaart C. Assessment of a standalone photoplethysmography (PPG) algorithm for detection of atrial fibrillation on wristband-derived data. Computer Methods and Programs in Biomedicine 2020;197:105753 View
  7. Seshadri D, Thom M, Harlow E, Gabbett T, Geletka B, Hsu J, Drummond C, Phelan D, Voos J. Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden. Frontiers in Sports and Active Living 2021;2 View
  8. Mühlen J, Stang J, Lykke Skovgaard E, Judice P, Molina-Garcia P, Johnston W, Sardinha L, Ortega F, Caulfield B, Bloch W, Cheng S, Ekelund U, Brønd J, Grøntved A, Schumann M. Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network. British Journal of Sports Medicine 2021;55(14):767 View
  9. Blok S, Piek M, Tulevski I, Somsen G, Winter M. The accuracy of heartbeat detection using photoplethysmography technology in cardiac patients. Journal of Electrocardiology 2021;67:148 View
  10. Wan E, Ghanbari H, Akoum N, Itzhak Attia Z, Asirvatham S, Chung E, Dagher L, Al-Khatib S, Stuart Mendenhall G, McManus D, Pathak R, Passman R, Peters N, Schwartzman D, Svennberg E, Tarakji K, Turakhia M, Trela A, Yarmohammadi H, Marrouche N. HRS White Paper on Clinical Utilization of Digital Health Technology. Cardiovascular Digital Health Journal 2021;2(4):196 View
  11. Baka T, Simko F. Monitoring Non-dipping Heart Rate by Consumer-Grade Wrist-Worn Devices: An Avenue for Cardiovascular Risk Assessment in Hypertension. Frontiers in Cardiovascular Medicine 2021;8 View
  12. Galarnyk M, Quer G, McLaughlin K, Ariniello L, Steinhubl S. Usability of a Wrist-Worn Smartwatch in a Direct-to-Participant Randomized Pragmatic Clinical Trial. Digital Biomarkers 2019;3(3):176 View
  13. Van Velthoven M, Oke J, Kardos A. ChroniSense National Early Warning Score Study: Comparison Study of a Wearable Wrist Device to Measure Vital Signs in Patients Who Are Hospitalized. Journal of Medical Internet Research 2023;25:e40226 View
  14. Charlton P, Kyriacou P, Mant J, Marozas V, Chowienczyk P, Alastruey J. Wearable Photoplethysmography for Cardiovascular Monitoring. Proceedings of the IEEE 2022;110(3):355 View
  15. Mekhael M, Lim C, El Hajjar A, Noujaim C, Pottle C, Makan N, Dagher L, Zhang Y, Chouman N, Li D, Ayoub T, Marrouche N. Studying the Effect of Long COVID-19 Infection on Sleep Quality Using Wearable Health Devices: Observational Study. Journal of Medical Internet Research 2022;24(7):e38000 View
  16. Viderman D, Seri E, Aubakirova M, Abdildin Y, Badenes R, Bilotta F. Remote Monitoring of Chronic Critically Ill Patients after Hospital Discharge: A Systematic Review. Journal of Clinical Medicine 2022;11(4):1010 View
  17. Sarhaddi F, Kazemi K, Azimi I, Cao R, Niela-Vilén H, Axelin A, Liljeberg P, Rahmani A, Mian Qaisar S. A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability. PLOS ONE 2022;17(12):e0268361 View
  18. Zota I, Stătescu C, Sascău R, Roca M, Anghel L, Maștaleru A, Leon-Constantin M, Ghiciuc C, Cozma S, Dima-Cozma L, Esanu I, Mitu F. Acute and Long-Term Consequences of COVID-19 on Arterial Stiffness—A Narrative Review. Life 2022;12(6):781 View
  19. Dudarev V, Zhang C, Barral O, Davis G, Enns J. Night-time cardiac metrics from a wearable sensor predict intensity of next-day chronic pain. Procedia Computer Science 2022;206:34 View
  20. Anderson T, van Mourik R, Martin K, Eijsvogels T, Longoria K. 100 Long-Distance Triathlons in 100 Days: A Case Study on Ultraendurance, Biomarkers, and Physiological Outcomes. International Journal of Sports Physiology and Performance 2023:1 View
  21. Dudarev V, Barral O, Zhang C, Davis G, Enns J. On the Reliability of Wearable Technology: A Tutorial on Measuring Heart Rate and Heart Rate Variability in the Wild. Sensors 2023;23(13):5863 View
  22. Jaiswal P, Sahu N, Lone H. Comparative Assessment of Smartwatch Photoplethysmography Accuracy. IEEE Sensors Letters 2024;8(1):1 View
  23. Dudarev V, Barral O, Radaeva M, Davis G, Enns J. Night time heart rate predicts next-day pain in fibromyalgia and primary back pain. PAIN Reports 2024;9(2):e1119 View

Books/Policy Documents

  1. Charlton P, Marozas V. Photoplethysmography. View