Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at, first published .
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review


  1. Martymianova L, Tykhonova T, Bychkova O, Lysenko N, Barabash N. GENERAL CARDIOVASCULAR RISK AND FUNCTIONAL INDICATORS OF THE PERMANENT ATRIAL FIBRILLATION. Wiadomości Lekarskie 2019;72(12) View
  2. 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
  3. Saarikko J, Niela-Vilen H, Ekholm E, Hamari L, Azimi I, Liljeberg P, Rahmani A, Löyttyniemi E, Axelin A. Continuous 7-Month Internet of Things–Based Monitoring of Health Parameters of Pregnant and Postpartum Women: Prospective Observational Feasibility Study. JMIR Formative Research 2020;4(7):e12417 View
  4. Tabei F, Zaman R, Foysal K, Kumar R, Kim Y, Chong J, Mumtaz W. A novel diversity method for smartphone camera-based heart rhythm signals in the presence of motion and noise artifacts. PLOS ONE 2019;14(6):e0218248 View
  5. Ringwald M, Crich A, Beysard N. Smart watch recording of ventricular tachycardia: Case study. The American Journal of Emergency Medicine 2020;38(4):849.e3 View
  6. Frisch D. Diagnosing atrial fibrillation by mobile technology: physician decision or device provision?. Heart 2020;106(9):629 View
  7. Vavrinsky E, Subjak J, Donoval M, Wagner A, Zavodnik T, Svobodova H. Application of Modern Multi-Sensor Holter in Diagnosis and Treatment. Sensors 2020;20(9):2663 View
  8. Guan J, Wang A, Song W, Obore N, He P, Fan S, Zhi H, Wang L. Screening for arrhythmia with the new portable single-lead electrocardiographic device (SnapECG): an application study in community-based elderly population in Nanjing, China. Aging Clinical and Experimental Research 2021;33(1):133 View
  9. Kizakevich P, Eckhoff R, Lewis G, Davila M, Hourani L, Watkins R, Weimer B, Wills T, Morgan J, Morgan T, Meleth S, Lewis A, Krzyzanowski M, Ramirez D, Boyce M, Litavecz S, Lane M, Strange L. Biofeedback-Assisted Resilience Training for Traumatic and Operational Stress: Preliminary Analysis of a Self-Delivered Digital Health Methodology. JMIR mHealth and uHealth 2019;7(9):e12590 View
  10. Ding E, Marcus G, McManus D. Emerging Technologies for Identifying Atrial Fibrillation. Circulation Research 2020;127(1):128 View
  11. Liu I, Ni S, Peng K. Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach. Sensors 2020;20(7):1923 View
  12. Behzadi A, Sepehri Shamloo A, Mouratis K, Hindricks G, Arya A, Bollmann A. Feasibility and Reliability of SmartWatch to Obtain 3-Lead Electrocardiogram Recordings. Sensors 2020;20(18):5074 View
  13. Vandekerckhove P, Vandekerckhove Y, Tavernier R, De Jaegher K, de Mul M. Leveraging User Experience to Improve Video Consultations in a Cardiology Practice During the COVID-19 Pandemic: Initial Insights. Journal of Medical Internet Research 2020;22(6):e19771 View
  14. Hindricks G, Potpara T, Dagres N, Arbelo E, Bax J, Blomström-Lundqvist C, Boriani G, Castella M, Dan G, Dilaveris P, Fauchier L, Filippatos G, Kalman J, La Meir M, Lane D, Lebeau J, Lettino M, Lip G, Pinto F, Thomas G, Valgimigli M, Van Gelder I, Van Putte B, Watkins C, Kirchhof P, Kühne M, Aboyans V, Ahlsson A, Balsam P, Bauersachs J, Benussi S, Brandes A, Braunschweig F, Camm A, Capodanno D, Casadei B, Conen D, Crijns H, Delgado V, Dobrev D, Drexel H, Eckardt L, Fitzsimons D, Folliguet T, Gale C, Gorenek B, Haeusler K, Heidbuchel H, Iung B, Katus H, Kotecha D, Landmesser U, Leclercq C, Lewis B, Mascherbauer J, Merino J, Merkely B, Mont L, Mueller C, Nagy K, Oldgren J, Pavlović N, Pedretti R, Petersen S, Piccini J, Popescu B, Pürerfellner H, Richter D, Roffi M, Rubboli A, Scherr D, Schnabel R, Simpson I, Shlyakhto E, Sinner M, Steffel J, Sousa-Uva M, Suwalski P, Svetlosak M, Touyz R, Neil Thomas G, Delassi T, Sisakian H, Chasnoits A, Pauw M, Smajić E, Shalganov T, Avraamides P, Kautzner J, Gerdes C, Alaziz A, Kampus P, Raatikainen P, Boveda S, Papiashvili G, Vassilikos V, Csanádi Z, Arnar D, Galvin J, Barsheshet A, Caldarola P, Rakisheva A, Bytyçi I, Kerimkulova A, Kalejs O, Njeim M, Puodziukynas A, Groben L, Sammut M, Grosu A, Boskovic A, Moustaghfir A, Groot N, Poposka L, Anfinsen O, Mitkowski P, Cavaco D, Siliste C, Mikhaylov E, Bertelli L, Kojic D, Hatala R, Fras Z, Arribas F, Juhlin T, Sticherling C, Abid L, Atar I, Sychov O, Bates M, Zakirov N. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS). European Heart Journal 2021;42(5):373 View
  15. Diederichsen S, Haugan K, Brandes A, Lanng M, Graff C, Krieger D, Kronborg C, Holst A, Køber L, Højberg S, Svendsen J. Natural History of Subclinical Atrial Fibrillation Detected by Implanted Loop Recorders. Journal of the American College of Cardiology 2019;74(22):2771 View
  16. Chen Y, Lu W, Pagaduan J, Kuo C. A Novel Smartphone App for the Measurement of Ultra–Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study. JMIR mHealth and uHealth 2020;8(7):e18761 View
  17. Eerikäinen L, Bonomi A, Dekker L, Vullings R, Aarts R. Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review. Cardiovascular Digital Health Journal 2020;1(1):45 View
  18. 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
  19. Marinucci D, Sbrollini A, Marcantoni I, Morettini M, Swenne C, Burattini L. Artificial Neural Network for Atrial Fibrillation Identification in Portable Devices. Sensors 2020;20(12):3570 View
  20. MacKinnon G, Brittain E. Mobile Health Technologies in Cardiopulmonary Disease. Chest 2020;157(3):654 View
  21. McGrath J. ADHD and Covid-19: current roadblocks and future opportunities. Irish Journal of Psychological Medicine 2020;37(3):204 View
  22. Sadek I, Heng T, Seet E, Abdulrazak B. A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study. Journal of Medical Internet Research 2020;22(9):e18297 View
  23. 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
  24. Patel U, Anwar A, Saleem S, Malik P, Rasul B, Patel K, Yao R, Seshadri A, Yousufuddin M, Arumaithurai K. Artificial intelligence as an emerging technology in the current care of neurological disorders. Journal of Neurology 2021;268(5):1623 View
  25. Koepp J, Baron M, Hernandes Martins P, Brandenburg C, Kira A, Trindade V, Ley Dominguez L, Carneiro M, Frozza R, Possuelo L, De Mello Pinto M, Mahlmann Kipper L, Pinheiro da Costa B. The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores. JMIR mHealth and uHealth 2020;8(6):e14266 View
  26. Ahmed N, Zhu Y. Early Detection of Atrial Fibrillation Based on ECG Signals. Bioengineering 2020;7(1):16 View
  27. Antonenko K, Paciaroni M, Sokolova L, Pezzella F. Digital health in stroke medicine: what are the opportunities for stroke patients?. Current Opinion in Neurology 2021;34(1):27 View
  28. 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
  29. Al-mousily M, Baker G, Jackson L, Ferguson B, Cain N. The use of a traditional nonlooping event monitor versus a loan-based program with a smartphone ECG device in the pediatric cardiology clinic. Cardiovascular Digital Health Journal 2021;2(1):71 View
  30. Simonyan M, Posnenkova O, Kiselev A. Capabilities of photoplethysmography as a method for screening of cardiovascular system pathology. Cardi-IT 2020;7(1) View
  31. Mitchell K, Schwarzwald C. Heart rate variability analysis in horses for the diagnosis of arrhythmias. The Veterinary Journal 2021;268:105590 View
  32. Falter M, Scherrenberg M, Dendale P. Digital Health in Cardiac Rehabilitation and Secondary Prevention: A Search for the Ideal Tool. Sensors 2020;21(1):12 View
  33. Morelli D, Rossi A, Bartoloni L, Cairo M, Clifton D. SDNN24 Estimation from Semi-Continuous HR Measures. Sensors 2021;21(4):1463 View
  34. Beckers R, Kwade Z, Zanca F. The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics. Physica Medica 2021;83:1 View
  35. Bun S, Taghji P, Deharo J. Cardiac events monitoring. Annales de Cardiologie et d'Angéiologie 2022;71(2):78 View
  36. Lee J, Kim T, Park J, Joung B, Choi E. 2021 Korean Heart Rhythm Society Guidelines for Screening and Management of Subclinical Atrial Fibrillation. The Korean Journal of Medicine 2021;96(2):76 View
  37. Hindricks G, Potpara T, Dagres N, Arbelo E, Bax J, Blomström-Lundqvist C, Boriani G, Castella M, Dan G, Dilaveris P, Fauchier L, Filippatos G, Kalman J, Meir M, Lane D, Lebeau J, Lettino M, Lip G, Pinto F, Neil Thomas G, Valgimigli M, Van Gelder I, Van Putte B, Watkins C. Guía ESC 2020 sobre el diagnóstico y tratamiento de la fibrilación auricular, desarrollada en colaboración de la European Association of Cardio-Thoracic Surgery (EACTS). Revista Española de Cardiología 2021;74(5):437.e1 View
  38. Lamberigts M, Van Hoof L, Proesmans T, Vandervoort P, Grieten L, Haemers P, Rega F. Remote Heart Rhythm Monitoring by Photoplethysmography-Based Smartphone Technology After Cardiac Surgery: Prospective Observational Study. JMIR mHealth and uHealth 2021;9(4):e26519 View
  39. Goadsby P, Lantéri-Minet M, Michel M, Peres M, Shibata M, Straube A, Wijeratne T, Ebel-Bitoun C, Constantin L, Hitier S. 21st century headache: mapping new territory. The Journal of Headache and Pain 2021;22(1) View
  40. 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
  41. Adlung L, Cohen Y, Mor U, Elinav E. Machine learning in clinical decision making. Med 2021;2(6):642 View
  42. Haughan J, Manriquez M, Cohen N, Robinson M, de Solis C. Comparison of novel wearable cardiac monitors to yield accurate exercising ECG and heart rate data in horses. Comparative Exercise Physiology 2021;17(5):457 View
  43. Capdevila L, Castro-Marrero J, Alegre J, Ramos-Castro J, Escorihuela R. Analysis of Gender Differences in HRV of Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Mobile-Health Technology. Sensors 2021;21(11):3746 View
  44. König S, Bollmann A, Hindricks G. Digital health solutions in the screening of subclinical atrial fibrillation. Herz 2021;46(4):329 View
  45. Schnabel R, Fabritz L, Kirchhof P. Mobile health for walking on the tightrope of optimal physical activity to reduce the risk of atrial fibrillation. European Heart Journal 2021;42(25):2484 View
  46. Lee H, Shin M. Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs. Sensors 2021;21(13):4331 View
  47. Xie M, Huang P, Wu T, Chen L, Guo R, Kuang D. Inhibition of miR-214-3p Protects Endothelial Cells from ox-LDL-Induced Damage by Targeting GPX4. BioMed Research International 2021;2021:1 View
  48. El-Bouri W, Gue Y, Lip G. ‘Rise of the machines’: the next frontier in individualized medicine. Cardiovascular Research 2021;117(10):e129 View
  49. Hermans A, Isaksen* J, Gawalko M, Pluymaekers N, van der Velden R, Snippe H, Evens S, De Witte G, Luermans J, Manninger M, Lumens J, Kanters J, Linz D. Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation. EP Europace 2023 View
  50. Lu C, Liu C, Mei D, Yu M, Bai J, Bao X, Wang M, Fu K, Yi X, Ge W, Shen J, Peng Y, Xu W. Comprehensive metabolomic characterization of atrial fibrillation. Frontiers in Cardiovascular Medicine 2022;9 View
  51. Vavrinsky E, Esfahani N, Hausner M, Kuzma A, Rezo V, Donoval M, Kosnacova H. The Current State of Optical Sensors in Medical Wearables. Biosensors 2022;12(4):217 View
  52. Praus F, Krzowski B, Walther T, Gratzke C, Balsam P, Miernik A, Pohlmann P. Smartphone Apps for Managing Antithrombotic Therapy: Scoping Literature Review. JMIR Cardio 2022;6(1):e29481 View
  53. Khanal S, Paulino D, Sampaio J, Barroso J, Reis A, Filipe V. A Review on Computer Vision Technology for Physical Exercise Monitoring. Algorithms 2022;15(12):444 View
  54. Tonko J, Wright M. Review of the 2020 ESC Guidelines for the Diagnosis and Management of Atrial Fibrillation—What Has Changed and How Does This Affect Daily Practice. Journal of Clinical Medicine 2021;10(17):3922 View
  55. Giorgi D, Bastiani L, Morales M, Pascali M, Colantonio S, Coppini G. Cardio-metabolic risk modeling and assessment through sensor-based measurements. International Journal of Medical Informatics 2022;165:104823 View
  56. Santala O, Lipponen J, Jäntti H, Rissanen T, Tarvainen M, Laitinen T, Laitinen T, Castrén M, Väliaho E, Rantula O, Naukkarinen N, Hartikainen J, Halonen J, Martikainen T. Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study. JMIR Cardio 2022;6(1):e31230 View
  57. Scarpetta M, Spadavecchia M, Andria G, Ragolia M, Giaquinto N. Accurate simultaneous measurement of heartbeat and respiratory intervals using a smartphone. Journal of Instrumentation 2022;17(07):P07020 View
  58. Kulkova J, Kulkov I, Rohrbeck R, Lu S, Khwaja A, Karjaluoto H, Mero J. Medicine of the future: How and who is going to treat us?. Futures 2023;146:103097 View
  59. Diederichsen S, Xing L, Frodi D, Kongebro E, Haugan K, Graff C, Højberg S, Krieger D, Brandes A, Køber L, Svendsen J. Prevalence and Prognostic Significance of Bradyarrhythmias in Patients Screened for Atrial Fibrillation vs Usual Care. JAMA Cardiology 2023;8(4):326 View
  60. Krzesiński P, Marczyk J, Wolszczak B, Gielerak G, Accardi F. Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change. Life 2023;13(3):632 View
  61. Rutkowski S, Szary P, Sacha J, Casaburi R. Immersive Virtual Reality Influences Physiologic Responses to Submaximal Exercise: A Randomized, Crossover Trial. Frontiers in Physiology 2021;12 View
  62. Wouters F, Gruwez H, Vranken J, Ernon L, Mesotten D, Vandervoort P, Verhaert D. Will Smartphone Applications Replace the Insertable Cardiac Monitor in the Detection of Atrial Fibrillation? The First Comparison in a Case Report of a Cryptogenic Stroke Patient. Frontiers in Cardiovascular Medicine 2022;9 View
  63. Galli A, Montree R, Que S, Peri E, Vullings R. An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications. Sensors 2022;22(11):4035 View
  64. Nacpil E, Wang Z, Nakano K. Application of Physiological Sensors for Personalization in Semi-Autonomous Driving: A Review. IEEE Sensors Journal 2021;21(18):19662 View
  65. Jewson J, Orchard J, Semsarian C, Fitzpatrick J, La Gerche A, Orchard J, Sande D, Mango F, Marwaha S, McNaughton E, van Trier T. Use of a smartphone electrocardiogram to diagnose arrhythmias during exercise in athletes: a case series. European Heart Journal - Case Reports 2022;6(4) View
  66. Liu D, Han X, Zhang Z, Tse G, Shao Q, Liu T. Role of Heat Shock Proteins in Atrial Fibrillation: From Molecular Mechanisms to Diagnostic and Therapeutic Opportunities. Cells 2022;12(1):151 View
  67. Fernandez I, Quislant R, Gonzalez-Navarro S, Gutierrez E, Plata O. TraTSA: A Transprecision Framework for Efficient Time Series Analysis. Journal of Computational Science 2022;63:101784 View
  68. Udyavar A, Deshpande S. Evaluation and Management of Reflex Vasovagal Syncope—A Review. Indian Journal of Clinical Cardiology 2022;3(1):34 View
  69. Hiyoshi Y, Hashimoto H, Kabuki T, Toda M, Sakurada H. Prediction of atrial fibrillation using a home blood pressure monitor with a high-resolution system. Open Heart 2022;9(2):e002006 View
  70. Novak J, Ellis F. A framework for incorporating physical activity in treatment: Competencies, guidelines, and implications for family therapists. Journal of Marital and Family Therapy 2022;48(2):523 View
  71. Alfonso C, Garcia-Gonzalez M, Parrado E, Gil-Rojas J, Ramos-Castro J, Capdevila L. Agreement between two photoplethysmography-based wearable devices for monitoring heart rate during different physical activity situations: a new analysis methodology. Scientific Reports 2022;12(1) View
  72. Jones I, Lane D, Lotto R, Oxborough D, Neubeck L, Penson P, Czanner G, Shaw A, Johnston Smith E, Santos A, McGinn E, Ajiboye A, Town N, Lip G. Supermarket/Hypermarket Opportunistic Screening for Atrial Fibrillation (SHOPS-AF): A Mixed Methods Feasibility Study Protocol. Journal of Personalized Medicine 2022;12(4):578 View
  73. PAPACCIOLI G, BASSI G, LUGI C, PARENTE E, D’ANDREA A, PROIETTI R, IMBALZANO E, AL TURKI A, RUSSO V. Smartphone and new tools for atrial fibrillation diagnosis: evidence for clinical applicability. Minerva Cardiology and Angiology 2022;70(5) View
  74. Evenson K, Hesketh K. Monitoring Physical Activity Intensity During Pregnancy. American Journal of Lifestyle Medicine 2023;17(1):18 View
  75. Chen Y, Lin Y, Shih C, Kuo C. Relationship Between Heart Rate Variability and Pulse Rate Variability Measures in Patients After Coronary Artery Bypass Graft Surgery. Frontiers in Cardiovascular Medicine 2021;8 View
  76. Puranik S, Harlow C, Martin L, Coleman M, Russell G, Park M, Min Kon O. Monitoring prolongation of QT interval in patients with multidrug-resistant tuberculosis and non-tuberculous mycobacterium using mobile health device AliveCor. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases 2022;26:100293 View
  77. Tseng A, Patel H, Kumar A, Jani C, Patel K, Jaswaney R, Thakkar S, Kowlgi N, Dani S, Arora S, Mulpuru S, Madhavan M, Killu A, Cha Y, DeSimone C, Deshmukh A. One-year outcomes of catheter ablation for atrial fibrillation in young patients. BMC Cardiovascular Disorders 2023;23(1) View
  78. Adewole K, Mojeed H, Ogunmodede J, Gabralla L, Faruk N, Abdulkarim A, Ifada E, Folawiyo Y, Oloyede A, Olawoyin L, Sikiru I, Nehemiah M, Gital A, Chiroma H. Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions. Applied Sciences 2022;12(23):12342 View
  79. Briosa e Gala A, Pope M, Leo M, Lobban T, Betts T. NICE atrial fibrillation guideline snubs wearable technology: a missed opportunity?. Clinical Medicine 2022;22(1):77 View
  80. Lalanza J, Lorente S, Bullich R, García C, Losilla J, Capdevila L. Methods for Heart Rate Variability Biofeedback (HRVB): A Systematic Review and Guidelines. Applied Psychophysiology and Biofeedback 2023;48(3):275 View
  81. Santala O, Lipponen J, Jäntti H, Rissanen T, Tarvainen M, Väliaho E, Rantula O, Naukkarinen N, Hartikainen J, Martikainen T, Halonen J. Novel Technologies in the Detection of Atrial Fibrillation: Review of Literature and Comparison of Different Novel Technologies for Screening of Atrial Fibrillation. Cardiology in Review 2023;Publish Ahead of Print View
  82. Lee D, Han C, Kim H, Uhm J, Yoon D, Park J. Changes in the Circadian Rhythm of High-Frequency Heart Rate Variability Associated With Depression. Journal of Korean Medical Science 2023;38(19) View
  83. Yao Y, Li Z, He Y, Zhang Y, Guo Z, Lei Y, Zhao Q, Li D, Zhang Z, Zhang Y, Liao X. Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study. Frontiers in Public Health 2023;11 View
  84. Brunetti N, Curcio A, Nodari S, Parati G, Carugo S, Molinari M, Acquistapace F, Gensini G, Molinari G. The Italian Society of Cardiology and Working Group on Telecardiology and Informatics 2023 updated position paper on telemedicine and artificial intelligence in cardiovascular disease. Journal of Cardiovascular Medicine 2023;24(Supplement 2):e168 View
  85. Gupta N, Kumar P. Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine. Computers in Biology and Medicine 2023;162:107051 View
  86. Manetas-Stavrakakis N, Sotiropoulou I, Paraskevas T, Maneta Stavrakaki S, Bampatsias D, Xanthopoulos A, Papageorgiou N, Briasoulis A. Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine 2023;12(20):6576 View
  87. Park J, Lee J, Kang M, Jang T, Kim H, Kim S, Lee J. Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device. Annals of Occupational and Environmental Medicine 2023;35(1) View
  88. Kim B, Franco I, Lee Y, Han S, Kim S. Changes in Autonomic Nervous System Activity in Children With Spina Bifida: A Case-Control Study. International Neurourology Journal 2023;27(3):192 View
  89. Atanasoski V, Petrovic J, Popović Maneski L, Miletić M, Babić M, Nikolić A, Panescu D, Ivanović M. A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise. IEEE Open Journal of Engineering in Medicine and Biology 2023;4:222 View
  90. Prom A, Ivanenko V, Ilyukhin O. Telemedicine technologies and remote ECG monitoring. Reality and prospects. Functionalist perspective. Part 2. Journal of Volgograd State Medical University 2024;20(4):3 View
  91. Lutfi H, Spittler T. HRpredict: Introducing a Web-Based Application for Heart Rate Prediction and Lifestyle Recommendations. European Journal of Medical and Health Sciences 2024;6(1):58 View
  92. Salazar-Martínez E, Naranjo Orellana J, Sarabia-Cachadiña E. Heart rate variability: Obtaining the stress score from SDNN values. Isokinetics and Exercise Science 2024:1 View
  93. Atanasoski V, Petrović J, Maneski L, Miletić M, Babić M, Nikolić A, Panescu D, Ivanović M. A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals. IEEE Open Journal of Engineering in Medicine and Biology 2024;5:296 View
  94. 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. Sokolsky V, Petrova I, Sokolsky M. The Importance of New Technologies and Entrepreneurship in Business Development: In The Context of Economic Diversity in Developing Countries. View
  2. . Clinical Electrocardiography. View
  3. Andrikopoulou E. Emerging Practices in Telehealth. View
  4. Koß J. Handbuch Digitale Gesundheitswirtschaft. View
  5. Sri-Ganeshan M, Cameron P. A Comprehensive Overview of Telemedicine [Working Title]. View
  6. Cronin N, Lehtiö A, Talaskivi J. Digital Health and Wireless Solutions. View