Published on in Vol 22, No 5 (2020): May
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/16443, first published
.
Journals
- Hong W, Lee W. Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine. The Analyst 2020;145(24):7796 View
- Lopez Perales C, Van Spall H, Maeda S, Jimenez A, Laţcu D, Milman A, Kirakoya-Samadoulougou F, Mamas M, Muser D, Casado Arroyo R. Mobile health applications for the detection of atrial fibrillation: a systematic review. EP Europace 2021;23(1):11 View
- Liaqat S, Dashtipour K, Zahid A, Assaleh K, Arshad K, Ramzan N. Detection of Atrial Fibrillation Using a Machine Learning Approach. Information 2020;11(12):549 View
- Han D, Bashar S, Mohagheghian F, Ding E, Whitcomb C, McManus D, Chon K. Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch. Sensors 2020;20(19):5683 View
- GÜNDÜZ O, TEPE C, ŞENYER N, ODABAS M. Tıbbi Cihaz Sektöründe Kullanılan Derin Öğrenme Yöntemlerine Genel Bakış. Black Sea Journal of Engineering and Science 2021;4(2):68 View
- Shin H, Sun S, Lee J, Kim H. Complementary Photoplethysmogram Synthesis From Electrocardiogram Using Generative Adversarial Network. IEEE Access 2021;9:70639 View
- Roxburgh T, Li A, Guenancia C, Pernollet P, Bouleti C, Alos B, Gras M, Kerforne T, Frasca D, Le Gal F, Christiaens L, Degand B, Garcia R. Virtual Reality for Sedation During Atrial Fibrillation Ablation in Clinical Practice: Observational Study. Journal of Medical Internet Research 2021;23(5):e26349 View
- Kotalczyk A, Mazurek M, Jędrzejczyk-Patej E. New methods of detecting atrial fibrillation. In a good rythm 2020;3(56):23 View
- Olier I, Ortega-Martorell S, Pieroni M, Lip G. How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management. Cardiovascular Research 2021;117(7):1700 View
- Ahmed A, Ahmad M. Evaluating the Use of AI in Implantable Loop Recorders for AF Detection. JACC: Clinical Electrophysiology 2021;7(8):1068 View
- Mittal S, Henry C, Gardella C. Reply. JACC: Clinical Electrophysiology 2021;7(8):1069 View
- Dilaveris P, Antoniou C, Caiani E, Casado-Arroyo R, Climent A, Cluitmans M, Cowie M, Doehner W, Guerra F, Jensen M, Kalarus Z, Locati E, Platonov P, Simova I, Schnabel R, Schuuring M, Tsivgoulis G, Lumens J. ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients. European Heart Journal - Digital Health 2022;3(3):341 View
- Kumar S, Victoria-Castro A, Melchinger H, O’Connor K, Psotka M, Desai N, Ahmad T, Wilson F. Wearables in Cardiovascular Disease. Journal of Cardiovascular Translational Research 2023;16(3):557 View
- Adasuriya G, Haldar S. Remote Monitoring of Cardiac Arrhythmias Using Wearable Digital Technology: Paradigm Shift or Pipe Dream?. European Journal of Arrhythmia & Electrophysiology 2022;8(1):7 View
- Yuan K, Tsai L, Lai K, Teng S, Lo Y, Peng S. Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray. Diagnostics 2021;11(10):1844 View
- Huhn S, Axt M, Gunga H, Maggioni M, Munga S, Obor D, Sié A, Boudo V, Bunker A, Sauerborn R, Bärnighausen T, Barteit S. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth and uHealth 2022;10(1):e34384 View
- Chang C, Lai F, Christian M, Chen Y, Hsu C, Chen Y, Chang D, Roan T, Yu Y. Deep Learning–Assisted Burn Wound Diagnosis: Diagnostic Model Development Study. JMIR Medical Informatics 2021;9(12):e22798 View
- Loh H, Xu S, Faust O, Ooi C, Barua P, Chakraborty S, Tan R, Molinari F, Acharya U. Application of photoplethysmography signals for healthcare systems: An in-depth review. Computer Methods and Programs in Biomedicine 2022;216:106677 View
- Chan N, Orchard J, Agbayani M, Boddington D, Chao T, Johar S, John B, Joung B, Krishinan S, Krittayaphong R, Kurokawa S, Lau C, Lim T, Linh P, Long V, Naik A, Okumura Y, Sasano T, Yan B, Raharjo S, Hanafy D, Yuniadi Y, Nwe N, Awan Z, Huang H, Freedman B. 2021 Asia Pacific Heart Rhythm Society (APHRS) practice guidance on atrial fibrillation screening. Journal of Arrhythmia 2022;38(1):31 View
- Naseri Jahfari A, Tax D, Reinders M, van der Bilt I. Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View. JMIR Medical Informatics 2022;10(1):e29434 View
- Bonini N, Vitolo M, Imberti J, Proietti M, Romiti G, Boriani G, Paaske Johnsen S, Guo Y, Lip G. Mobile health technology in atrial fibrillation. Expert Review of Medical Devices 2022;19(4):327 View
- Prieto-Avalos G, Cruz-Ramos N, Alor-Hernández G, Sánchez-Cervantes J, Rodríguez-Mazahua L, Guarneros-Nolasco L. Wearable Devices for Physical Monitoring of Heart: A Review. Biosensors 2022;12(5):292 View
- Valenti S, Volpes G, Parisi A, Peri D, Lee J, Faes L, Busacca A, Pernice R. Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements. Biosensors 2023;13(4):460 View
- 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 2024;32(5):440 View
- Ciccarelli M, Giallauria F, Carrizzo A, Visco V, Silverio A, Cesaro A, Calabrò P, De Luca N, Mancusi C, Masarone D, Pacileo G, Tourkmani N, Vigorito C, Vecchione C. Artificial intelligence in cardiovascular prevention: new ways will open new doors. Journal of Cardiovascular Medicine 2023;24(Supplement 2):e106 View
- Park J. Machine Learning for Predicting Atrial Fibrillation Recurrence After Cardioversion: A Modest Leap Forward. Korean Circulation Journal 2023;53(10):690 View
- Musa E, Levitan A, Hughes G. Wearable Health Technology for the Diagnosis and Management of Atrial Fibrillation: A Systematic Review. Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 2021;5(4):1 View
- Joung J, Jung C, Lee H, Chae M, Kim H, Park J, Shin W, Kim C, Lee M, Choi C. Continuous cuffless blood pressure monitoring using photoplethysmography-based PPG2BP-net for high intrasubject blood pressure variations. Scientific Reports 2023;13(1) View
- Kwon S, Lee E, Ju H, Ahn H, Lee S, Choi E, Suh J, Oh S, Rhee W. Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation. Korean Circulation Journal 2023;53(10):677 View
- Momynaliev K, Ivanov I. Portable health monitoring devices. Biomedical Engineering 2023;57(4):295 View
- Wang W, Zheng L, Cheng H, Xu X, Meng B. Applications and progress of machine learning in wearable intelligent sensing systems. Chinese Science Bulletin 2023;68(34):4630 View
- 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
- Salvi M, Acharya M, Seoni S, Faust O, Tan R, Barua P, García S, Molinari F, Acharya U. Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023). WIREs Data Mining and Knowledge Discovery 2024;14(3) View
- Ding C, Xiao R, Wang W, Holdsworth E, Hu X. Photoplethysmography based atrial fibrillation detection: a continually growing field. Physiological Measurement 2024;45(4):04TR01 View
- Wasilewski T, Kamysz W, Gębicki J. AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring. Biosensors 2024;14(7):356 View
- Saad H, Zaki J, Abdelsalam M. Employing of machine learning and wearable devices in healthcare system: tasks and challenges. Neural Computing and Applications 2024;36(29):17829 View
- Jafleh E, Alnaqbi F, Almaeeni H, Faqeeh S, Alzaabi M, Al Zaman K. The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review. Cureus 2024 View
- Fiore M, Bianconi A, Sicari G, Conni A, Lenzi J, Tomaiuolo G, Zito F, Golinelli D, Sanmarchi F. The Use of Smart Rings in Health Monitoring—A Meta-Analysis. Applied Sciences 2024;14(23):10778 View
- Xie C, Wang Z, Yang C, Liu J, Liang H. Machine Learning for Detecting Atrial Fibrillation from ECGs: Systematic Review and Meta-Analysis. Reviews in Cardiovascular Medicine 2024;25(1) View