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Citing this Article

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Published on 13.03.17 in Vol 5, No 3 (2017): March

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

Works citing "Resting and Postexercise Heart Rate Detection From Fingertip and Facial Photoplethysmography Using a Smartphone Camera: A Validation Study"

Bryan P Yan, Christy KY Chan, Christien KH Li, Olivia TL To, William HS Lai, Gary Tse, Yukkee C Poh, Ming-Zher Poh

JMIR Mhealth Uhealth 2017 (Mar 13); 5(3):e33 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7275):

(note that this is only a small subset of citations)

  1. Yan BP, Lai WHS, Chan CKY, Chan SC, Chan L, Lam K, Lau H, Ng C, Tai L, Yip K, To OTL, Freedman B, Poh YC, Poh M. Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals. Journal of the American Heart Association 2018;7(8)
    CrossRef
  2. McConnell MV, Turakhia MP, Harrington RA, King AC, Ashley EA. Mobile Health Advances in Physical Activity, Fitness, and Atrial Fibrillation. Journal of the American College of Cardiology 2018;71(23):2691
    CrossRef
  3. Li KHC, Lai RWC, Du Y, Ly V, Li DCY, Lam MHS, Roever L, Fitzgerald-Smith S, Li G, Liu T, Tse G, Dong M. Effects of exercise on heart rate variability by time-domain, frequency-domain and non-linear analyses in equine athletes. F1000Research 2019;8:147
    CrossRef
  4. Wang D, Yang X, Liu X, Jing J, Fang S. Detail-preserving pulse wave extraction from facial videos using consumer-level camera. Biomedical Optics Express 2020;11(4):1876
    CrossRef
  5. van der Kooij KM, Naber M. An open-source remote heart rate imaging method with practical apparatus and algorithms. Behavior Research Methods 2019;51(5):2106
    CrossRef
  6. Makhlouf A, Boudouane I, Saadia N, Ramdane Cherif A. Ambient assistance service for fall and heart problem detection. Journal of Ambient Intelligence and Humanized Computing 2019;10(4):1527
    CrossRef
  7. Plante TB, O'Kelly AC, Urrea B, Macfarlane ZT, Appel LJ, Miller III ER, Blumenthal RS, Martin SS. Auralife Instant Blood Pressure App in Measuring Resting Heart Rate: Validation Study. JMIR Biomedical Engineering 2018;3(1):e11057
    CrossRef
  8. Li KHC, White FA, Tipoe T, Liu T, Wong MC, Jesuthasan A, Baranchuk A, Tse G, Yan BP. The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review. JMIR mHealth and uHealth 2019;7(2):e11606
    CrossRef
  9. Masoud M, Jaradat Y, Manasrah A, Jannoud I. Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts. Journal of Sensors 2019;2019:1
    CrossRef
  10. Hevia LV, Patricio MA, Molina JM, Berlanga A. Optimization of the ISP Parameters of a Camera Through Differential Evolution. IEEE Access 2020;8:143479
    CrossRef
  11. . Current progress of photoplethysmography and SPO2 for health monitoring. Biomedical Engineering Letters 2019;9(1):21
    CrossRef
  12. Bánhalmi A, Borbás J, Fidrich M, Bilicki V, Gingl Z, Rudas L. Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera. Journal of Healthcare Engineering 2018;2018:1
    CrossRef
  13. Ardissino M, Nicolaou N, Vizcaychipi M. Non-invasive real-time autonomic function characterization during surgery via continuous Poincaré quantification of heart rate variability. Journal of Clinical Monitoring and Computing 2019;33(4):627
    CrossRef
  14. Neufeld EV, Seltzer RA, Sazzad T, Dolezal BA. A Multidomain Approach to Assessing the Convergent and Concurrent Validity of a Mobile Application When Compared to Conventional Methods of Determining Body Composition. Sensors 2020;20(21):6165
    CrossRef
  15. Muntaner-Mas A, Martinez-Nicolas A, Quesada A, Cadenas-Sanchez C, Ortega FB. Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study. JMIR mHealth and uHealth 2021;9(1):e14864
    CrossRef
  16. Saner H, Knobel SEJ, Schuetz N, Nef T. Contact-free sensor signals as a new digital biomarker for cardiovascular disease: chances and challenges. European Heart Journal - Digital Health 2020;1(1):30
    CrossRef
  17. Jensen MT, Treskes RW, Caiani EG, Casado-Arroyo R, Cowie MR, Dilaveris P, Duncker D, Di Rienzo M, Frederix I, De Groot N, Kolh PH, Kemps H, Mamas M, McGreavy P, Neubeck L, Parati G, Platonov PG, Schmidt-Trucksäss A, Schuuring MJ, Simova I, Svennberg E, Verstrael A, Lumens J. ESC working group on e-cardiology position paper: use of commercially available wearable technology for heart rate and activity tracking in primary and secondary cardiovascular prevention—in collaboration with the European Heart Rhythm Association, European Association of Preventive Cardiology, Association of Cardiovascular Nursing and Allied Professionals, Patient Forum, and the Digital Health Committee. European Heart Journal - Digital Health 2021;2(1):49
    CrossRef
  18. Taralunga DD, Florea BC. A Blockchain-Enabled Framework for mHealth Systems. Sensors 2021;21(8):2828
    CrossRef
  19. Raposo A, Marques L, Correia R, Melo F, Valente J, Pereira T, Rosário LB, Froes F, Sanches J, Silva HPD. e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19. Sensors 2021;21(10):3397
    CrossRef
  20. Pham C, Poorzargar K, Nagappa M, Saripella A, Parotto M, Englesakis M, Lee K, Chung F. Effectiveness of consumer-grade contactless vital signs monitors: a systematic review and meta-analysis. Journal of Clinical Monitoring and Computing 2022;36(1):41
    CrossRef
  21. Książczyk M, Dębska-Kozłowska A, Warchoł I, Lubiński A. Enhancing Healthcare Access–Smartphone Apps in Arrhythmia Screening: Viewpoint. JMIR mHealth and uHealth 2021;9(8):e23425
    CrossRef
  22. Rachim VP, Baek J, Kim Y, Kim Y, Park S. High Sampling Rate Smartphone-PPG via Built-in Rolling Shutter Image Sensor. IEEE Internet of Things Journal 2023;10(1):512
    CrossRef
  23. Chung CT, Lee S, King E, Liu T, Armoundas AA, Bazoukis G, Tse G. Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis. International Journal of Arrhythmia 2022;23(1)
    CrossRef
  24. Zaunseder S, Trumpp A, Wedekind D, Malberg H. Cardiovascular assessment by imaging photoplethysmography – a review. Biomedical Engineering / Biomedizinische Technik 2018;63(5):617
    CrossRef
  25. Martins PCDML, Barbosa TMGDA, Lima LM, Souza IMB, Ramos GC, Souza PHDB, da Rocha AF, Barroso WKS, Vitorino PVDO. Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest. European Heart Journal - Digital Health 2022;3(1):98
    CrossRef
  26. Han L, Liang W, Liu Y, Zeng W, Wang J, Yang Z, Zhou Q, Dong Y, Wang X. Stretchable piezoelectret electronic stethoscope for phonocardiography and lung sound detection in motion and noise conditions. Applied Materials Today 2024;36:102077
    CrossRef
  27. Mather JD, Hayes LD, Mair JL, Sculthorpe NF. Validity of resting heart rate derived from contact-based smartphone photoplethysmography compared with electrocardiography: a scoping review and checklist for optimal acquisition and reporting. Frontiers in Digital Health 2024;6
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7275):

  1. Tamura T, Maeda Y. Seamless Healthcare Monitoring. 2018. Chapter 6:159
    CrossRef
  2. Richardson E, Hall A, R.J. Mitchell A. Epidemiology and Treatment of Atrial Fibrillation. 2020. Chapter 1
    CrossRef