Published on in Vol 2, No 1 (2018): Jan-Jun

Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis

Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis

Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis

Journals

  1. Liu I, Ni S, Peng K. Happiness at Your Fingertips: Assessing Mental Health with Smartphone Photoplethysmogram-Based Heart Rate Variability Analysis. Telemedicine and e-Health 2020;26(12):1483 View
  2. Tobias G, Spanier A. Developing a Mobile App (iGAM) to Promote Gingival Health by Professional Monitoring of Dental Selfies: User-Centered Design Approach. JMIR mHealth and uHealth 2020;8(8):e19433 View
  3. Rhodes A, Martin S, Guarna J, Vowles K, Allen T. A contextual-behavioral perspective on chronic pain during the COVID-19 pandemic and future times of mandated physical distancing. Journal of Contextual Behavioral Science 2020;17:152 View
  4. Faust-Christmann C, Taetz B, Zolynski G, Zimmermann T, Bleser G. A Biofeedback App to Instruct Abdominal Breathing (Breathing-Mentor): Pilot Experiment. JMIR mHealth and uHealth 2019;7(9):e13703 View
  5. Guede-Fernández F, Ferrer-Mileo V, Mateu-Mateus M, Ramos-Castro J, García-González M, Fernández-Chimeno M. A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences. Biomedical Signal Processing and Control 2020;57:101717 View
  6. Anker S, Butler J, Khan M, Abraham W, Bauersachs J, Bocchi E, Bozkurt B, Braunwald E, Chopra V, Cleland J, Ezekowitz J, Filippatos G, Friede T, Hernandez A, Lam C, Lindenfeld J, McMurray J, Mehra M, Metra M, Packer M, Pieske B, Pocock S, Ponikowski P, Rosano G, Teerlink J, Tsutsui H, Van Veldhuisen D, Verma S, Voors A, Wittes J, Zannad F, Zhang J, Seferovic P, Coats A. Conducting clinical trials in heart failure during (and after) the COVID-19 pandemic: an Expert Consensus Position Paper from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). European Heart Journal 2020;41(22):2109 View
  7. Plante T, O'Kelly A, Urrea B, Macfarlane Z, Appel L, Miller III E, Blumenthal R, Martin S. Auralife Instant Blood Pressure App in Measuring Resting Heart Rate: Validation Study. JMIR Biomedical Engineering 2018;3(1):e11057 View
  8. Pipitprapat W, Harnchoowong S, Suchonwanit P, Sriphrapradang C. The validation of smartphone applications for heart rate measurement. Annals of Medicine 2018;50(8):721 View
  9. Liu I, Ni S, Peng K. Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach. Sensors 2020;20(7):1923 View
  10. Baldassarre A, Mucci N, Padovan M, Pellitteri A, Viscera S, Lecca L, Galea R, Arcangeli G. The Role of Electrocardiography in Occupational Medicine, from Einthoven’s Invention to the Digital Era of Wearable Devices. International Journal of Environmental Research and Public Health 2020;17(14):4975 View
  11. Omboni S. Connected Health in Hypertension Management. Frontiers in Cardiovascular Medicine 2019;6 View
  12. von Falkenhausen A, Fichtner S, Kääb S, Sinner M. Rhythmusmonitoring. Herzschrittmachertherapie + Elektrophysiologie 2020;31(3):241 View
  13. Turchioe M, Jimenez V, Isaac S, Alshalabi M, Slotwiner D, Creber R. Review of mobile applications for the detection and management of atrial fibrillation. Heart Rhythm O2 2020;1(1):35 View
  14. Jin D, Adams H, Cocco A, Martin W, Palmer S. Smartphones and wearable technology: benefits and concerns in cardiology. Medical Journal of Australia 2020;212(2):54 View
  15. Fedorovich A, Gorshkov A, Drapkina O. Modern possibilities of non-invasive research and remote monitoring of capillary blood flow in human skin. Regional blood circulation and microcirculation 2020;19(4):87 View
  16. Dall’Olio L, Curti N, Remondini D, Safi Harb Y, Asselbergs F, Castellani G, Uh H. Prediction of vascular aging based on smartphone acquired PPG signals. Scientific Reports 2020;10(1) View
  17. Beerten S, Proesmans T, Vaes B. A Heart Rate Monitoring App (FibriCheck) for Atrial Fibrillation in General Practice: Pilot Usability Study. JMIR Formative Research 2021;5(4):e24461 View
  18. Mulder E, Schagatay E, Sieber A. First Evaluation of a Newly Constructed Underwater Pulse Oximeter for Use in Breath-Holding Activities. Frontiers in Physiology 2021;12 View
  19. Webster D, Tummalacherla M, Higgins M, Wing D, Ashley E, Kelly V, McConnell M, Muse E, Olgin J, Mangravite L, Godino J, Kellen M, Omberg L. Smartphone-Based VO2max Measurement With Heart Snapshot in Clinical and Real-world Settings With a Diverse Population: Validation Study. JMIR mHealth and uHealth 2021;9(6):e26006 View
  20. Krishnamoorthy A, Bairy G, Siddeshappa N, Mayrose H, Sampathila N, Chadaga K. Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings. Computers 2023;12(2):43 View
  21. Fedorovich A, Gorshkov A, Korolev A, Drapkina O. Smartphone in medicine — from a reference book to a diagnostic system. Overview of the current state of the issue. Cardiovascular Therapy and Prevention 2022;21(9):3298 View
  22. Harvie H, Jain B, Nelson B, Knight E, Roos L, Giuliano R. Induction of acute stress through an internet-delivered Trier Social Stress Test as assessed by photoplethysmography on a smartphone. Stress 2021;24(6):1023 View
  23. Bae S, Borac S, Emre Y, Wang J, Wu J, Kashyap M, Kang S, Chen L, Moran M, Cannon J, Teasley E, Chai A, Liu Y, Wadhwa N, Krainin M, Rubinstein M, Maciel A, McConnell M, Patel S, Corrado G, Taylor J, Zhan J, Po M. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications Medicine 2022;2(1) View
  24. Graybeal A, Brandner C, Tinsley G. Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults. Clinical Nutrition 2022;41(11):2464 View
  25. Mazzu-Nascimento T, Evangelista D, Abubakar O, Roscani M, Aguilar R, Chachá S, Rosa P, Silva D. Smartphone-Based Screening for Cardiovascular Diseases: A Trend?. International Journal of Cardiovascular Sciences 2021;35(1):127 View
  26. Pöyry H, Aarnivala H, Huhtamäki H, Pokka T, Renko M, Valmari P, Tapiainen T. Parental Ability to Assess Pediatric Vital Signs. The Journal of Pediatrics 2023;252:177 View
  27. Zenzes M, Seba P, Portocarrero Vivero-Fäh B. The electrocardiogram on the wrist: a frightening experience to the untrained consumer: a case report. Journal of Medical Case Reports 2023;17(1) View
  28. Singh Solorzano C, Violani C, Grano C. Pre-partum HRV as a predictor of postpartum depression: The potential use of a smartphone application for physiological recordings. Journal of Affective Disorders 2022;319:172 View
  29. Nakamura D, Tessaro Y, Furuie S, Coto N. Color formulation in maxillofacial elastomer by genetic algorithm. Dyes and Pigments 2021;196:109820 View
  30. Hu J, Martin G, Iyengar S, Kovell L, Plante T, Helmond N, Dart R, Brady T, Turkson-Ocran R, Juraschek S. Validating cuffless continuous blood pressure monitoring devices. Cardiovascular Digital Health Journal 2023;4(1):9 View
  31. Dominguez C, Martinelli M, Bachmann L, Cardoso G. Arterial pulsation modulates the optical attenuation coefficient of skin. Journal of the Optical Society of America A 2023;40(4):C87 View
  32. Kim J, Kim H, Im S, Park Y, Lee H, Kwon S, Choi Y, Sohn L, Oak C. Remote health monitoring services in nursing homes. Kosin Medical Journal 2023;38(1):21 View
  33. Lyzwinski L, Elgendi M, Menon C. The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review. JMIR Mental Health 2023;10:e40163 View
  34. Chen W, Li M. Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network. Preventive Medicine 2023;174:107642 View
  35. Nelson B, Harvie H, Jain B, Knight E, Roos L, Giuliano R. Smartphone Photoplethysmography Pulse Rate Covaries With Stress and Anxiety During a Digital Acute Social Stressor. Psychosomatic Medicine 2023;85(7):577 View
  36. Peck R, Storey H, Barney B, Israeli S, Halas O, Oroszlan D, Brodsky S, Agarwal N, Murphy E, Sagalovsky M, Cohen J, Trias E, Schutzer A, Boyle D, Kajungu D. From biorepositories to data repositories: Open-access resources accelerate early R&D and validation of equitable diagnostic tools. PLOS Global Public Health 2023;3(8):e0002044 View
  37. Xuan Y, Barry C, Antipa N, Wang E. A calibration method for smartphone camera photophlethysmography. Frontiers in Digital Health 2023;5 View
  38. Chato L, Regentova E. Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data. Journal of Personalized Medicine 2023;13(12):1703 View
  39. Garanin А, Rogova V, Ivanchina P, Tolkacheva E. Web photoplethysmography: opportunities and prospects. Regional blood circulation and microcirculation 2023;22(4):11 View
  40. Hong W. Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones. JMIR mHealth and uHealth 2024;12:e48803 View
  41. Mather J, Hayes L, Mair J, Sculthorpe N. 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 View
  42. Weng W, Baur S, Daswani M, Chen C, Harrell L, Kakarmath S, Jabara M, Behsaz B, McLean C, Matias Y, Corrado G, Shetty S, Prabhakara S, Liu Y, Danaei G, Ardila D, Robinson J. Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS Global Public Health 2024;4(6):e0003204 View

Books/Policy Documents

  1. De Masi A, Wac K. Quantifying Quality of Life. View
  2. Šećerbegović A, Gogić A, Mujčić A. Advanced Technologies, Systems, and Applications VIII. View