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Citing this Article

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Published on 27.02.18 in Vol 2, No 1 (2018): Jan-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/cardio.8802):

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

  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
    CrossRef
  2. Tobias G, Spanier AB. 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
    CrossRef
  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
    CrossRef
  4. Faust-Christmann CA, 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
    CrossRef
  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
    CrossRef
  6. Anker SD, Butler J, Khan MS, Abraham WT, Bauersachs J, Bocchi E, Bozkurt B, Braunwald E, Chopra VK, Cleland JG, Ezekowitz J, Filippatos G, Friede T, Hernandez AF, Lam CSP, Lindenfeld J, McMurray JJV, Mehra M, Metra M, Packer M, Pieske B, Pocock SJ, Ponikowski P, Rosano GMC, Teerlink JR, Tsutsui H, Van Veldhuisen DJ, Verma S, Voors AA, Wittes J, Zannad F, Zhang J, Seferovic P, Coats AJS. 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
    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. Pipitprapat W, Harnchoowong S, Suchonwanit P, Sriphrapradang C. The validation of smartphone applications for heart rate measurement. Annals of Medicine 2018;50(8):721
    CrossRef
  9. Liu I, Ni S, Peng K. Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach. Sensors 2020;20(7):1923
    CrossRef
  10. Baldassarre A, Mucci N, Padovan M, Pellitteri A, Viscera S, Lecca LI, Galea RP, 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
    CrossRef
  11. . Connected Health in Hypertension Management. Frontiers in Cardiovascular Medicine 2019;6
    CrossRef
  12. von Falkenhausen AS, Fichtner S, Kääb S, Sinner MF. Rhythmusmonitoring. Herzschrittmachertherapie + Elektrophysiologie 2020;31(3):241
    CrossRef
  13. Turchioe MR, Jimenez V, Isaac S, Alshalabi M, Slotwiner D, Creber RM. Review of mobile applications for the detection and management of atrial fibrillation. Heart Rhythm O2 2020;1(1):35
    CrossRef
  14. Jin D, Adams H, Cocco AM, Martin WG, Palmer S. Smartphones and wearable technology: benefits and concerns in cardiology. Medical Journal of Australia 2020;212(2):54
    CrossRef
  15. Fedorovich AA, Gorshkov AY, Drapkina OM. 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
    CrossRef
  16. Dall’Olio L, Curti N, Remondini D, Safi Harb Y, Asselbergs FW, Castellani G, Uh H. Prediction of vascular aging based on smartphone acquired PPG signals. Scientific Reports 2020;10(1)
    CrossRef
  17. Beerten SG, 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
    CrossRef
  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
    CrossRef
  19. Webster DE, Tummalacherla M, Higgins M, Wing D, Ashley E, Kelly VE, McConnell MV, Muse ED, Olgin JE, Mangravite LM, Godino J, Kellen MR, 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
    CrossRef
  20. Krishnamoorthy A, Bairy GM, 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
    CrossRef
  21. Fedorovich AA, Gorshkov AY, Korolev AI, Drapkina OM. 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
    CrossRef
  22. Harvie HMK, Jain B, Nelson BW, Knight EL, Roos LE, Giuliano RJ. Induction of acute stress through an internet-delivered Trier Social Stress Test as assessed by photoplethysmography on a smartphone. Stress 2021;24(6):1023
    CrossRef
  23. Bae S, Borac S, Emre Y, Wang J, Wu J, Kashyap M, Kang S, Chen L, Moran M, Cannon J, Teasley ES, Chai A, Liu Y, Wadhwa N, Krainin M, Rubinstein M, Maciel A, McConnell MV, Patel S, Corrado GS, Taylor JA, Zhan J, Po MJ. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications Medicine 2022;2(1)
    CrossRef
  24. Graybeal AJ, Brandner CF, Tinsley GM. 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
    CrossRef
  25. Mazzu-Nascimento T, Evangelista DN, Abubakar O, Roscani MG, Aguilar RS, Chachá SGF, Rosa PRD, Silva DF. Smartphone-Based Screening for Cardiovascular Diseases: A Trend?. International Journal of Cardiovascular Sciences 2021;35(1):127
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  29. Nakamura DM, Tessaro YV, Furuie SS, Coto NP. Color formulation in maxillofacial elastomer by genetic algorithm. Dyes and Pigments 2021;196:109820
    CrossRef
  30. Hu J, Martin G, Iyengar S, Kovell LC, Plante TB, Helmond NV, Dart RA, Brady TM, Turkson-Ocran RN, Juraschek SP. Validating cuffless continuous blood pressure monitoring devices. Cardiovascular Digital Health Journal 2023;4(1):9
    CrossRef
  31. Dominguez CT, Martinelli MB, Bachmann L, Cardoso GC. Arterial pulsation modulates the optical attenuation coefficient of skin. Journal of the Optical Society of America A 2023;40(4):C87
    CrossRef
  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
    CrossRef
  33. Lyzwinski LN, Elgendi M, Menon C. The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review. JMIR Mental Health 2023;10:e40163
    CrossRef
  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
    CrossRef
  35. Nelson BW, Harvie HMK, Jain B, Knight EL, Roos LE, Giuliano RJ. Smartphone Photoplethysmography Pulse Rate Covaries With Stress and Anxiety During a Digital Acute Social Stressor. Psychosomatic Medicine 2023;85(7):577
    CrossRef
  36. Peck R, Storey HL, Barney B, Israeli S, Halas O, Oroszlan D, Brodsky S, Agarwal N, Murphy E, Sagalovsky M, Cohen J, Trias E, Schutzer A, Boyle DS, 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
    CrossRef
  37. Xuan Y, Barry C, Antipa N, Wang EJ. A calibration method for smartphone camera photophlethysmography. Frontiers in Digital Health 2023;5
    CrossRef
  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
    CrossRef
  39. Garanin , Rogova VS, Ivanchina PS, Tolkacheva EO. Web photoplethysmography: opportunities and prospects. Regional blood circulation and microcirculation 2023;22(4):11
    CrossRef
  40. . 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
    CrossRef
  41. 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/cardio.8802):

  1. De Masi A, Wac K. Quantifying Quality of Life. 2022. Chapter 23:523
    CrossRef
  2. Šećerbegović A, Gogić A, Mujčić A. Advanced Technologies, Systems, and Applications VIII. 2023. Chapter 31:431
    CrossRef