Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Journals

1. Clingan C, Dittakavi M, Rozwadowski M, Gilley K, Cislo C, Barabas J, Sandford E, Olesnavich M, Flora C, Tyler J, Mayer C, Stoneman E, Braun T, Forger D, Tewari M, Choi S. Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study. JMIR Research Protocols 2021;10(5):e29562 View
2. Radin J, Quer G, Jalili M, Hamideh D, Steinhubl S. The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections. The Lancet Digital Health 2021;3(7):e455 View
3. Kumar V, Singh D, Kaur M, Damaševičius R. Overview of current state of research on the application of artificial intelligence techniques for COVID-19. PeerJ Computer Science 2021;7:e564 View
4. Drury R, Jarczok M, Owens A, Thayer J. Wireless Heart Rate Variability in Assessing Community COVID-19. Frontiers in Neuroscience 2021;15 View
5. Hajduczok A, DiJoseph K, Bent B, Thorp A, Mullholand J, MacKay S, Barik S, Coleman J, Paules C, Tinsley A. Physiologic Response to the Pfizer-BioNTech COVID-19 Vaccine Measured Using Wearable Devices: Prospective Observational Study. JMIR Formative Research 2021;5(8):e28568 View
6. Shandhi M, Goldsack J, Ryan K, Bennion A, Kotla A, Feng A, Jiang Y, Wang W, Hurst T, Patena J, Carini S, Chung J, Dunn J. Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review. Journal of Medical Internet Research 2021;23(9):e29875 View
7. 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
8. Hirten R, Danieletto M, Tomalin L, Choi K, Zweig M, Golden E, Kaur S, Helmus D, Biello A, Pyzik R, Calcagno C, Freeman R, Sands B, Charney D, Bottinger E, Murrough J, Keefer L, Suarez-Farinas M, Nadkarni G, Fayad Z. Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data. Journal of Medical Internet Research 2021;23(9):e31295 View
9. Velykoivanenko L, Niksirat K, Zufferey N, Humbert M, Huguenin K, Cherubini M. Are Those Steps Worth Your Privacy?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(4):1 View
10. Vlemincx E, Arcoleo K, Babb T, Davenport P, Feldman J, Marshall G, Ramirez J, Ritz T, Troosters T, Van den Bergh O, von Leupoldt A. Respiratory psychophysiology and COVID-19: A research agenda. Biological Psychology 2023;176:108473 View
11. Grzesiak E, Bent B, McClain M, Woods C, Tsalik E, Nicholson B, Veldman T, Burke T, Gardener Z, Bergstrom E, Turner R, Chiu C, Doraiswamy P, Hero A, Henao R, Ginsburg G, Dunn J. Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. JAMA Network Open 2021;4(9):e2128534 View
12. Mitratza M, Goodale B, Shagadatova A, Kovacevic V, van de Wijgert J, Brakenhoff T, Dobson R, Franks B, Veen D, Folarin A, Stolk P, Grobbee D, Cronin M, Downward G. The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review. The Lancet Digital Health 2022;4(5):e370 View
13. Maschewski F, Nosthoff A. Überwachungskapitalistische Biopolitik: Big Tech und die Regierung der Körper. Zeitschrift für Politikwissenschaft 2022;32(2):429 View
14. De Boer C, Ghomrawi H, Zeineddin S, Linton S, Kwon S, Abdullah F. A Call to Expand the Scope of Digital Phenotyping. Journal of Medical Internet Research 2023;25:e39546 View
15. Holko M, Litwin T, Munoz F, Theisz K, Salgin L, Jenks N, Holmes B, Watson-McGee P, Winford E, Sharma Y. Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices. npj Digital Medicine 2022;5(1) View
16. Helmer P, Hottenrott S, Rodemers P, Leppich R, Helwich M, Pryss R, Kranke P, Meybohm P, Winkler B, Sammeth M. Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial. Journal of Medical Internet Research 2022;24(12):e42359 View
17. Agrawal M, Allin K, Petralia F, Colombel J, Jess T. Multiomics to elucidate inflammatory bowel disease risk factors and pathways. Nature Reviews Gastroenterology & Hepatology 2022;19(6):399 View
18. Conroy B, Silva I, Mehraei G, Damiano R, Gross B, Salvati E, Feng T, Schneider J, Olson N, Rizzo A, Curtin C, Frassica J, McFarlane D. Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19. Scientific Reports 2022;12(1) View
19. Föll S, Lison A, Maritsch M, Klingberg K, Lehmann V, Züger T, Srivastava D, Jegerlehner S, Feuerriegel S, Fleisch E, Exadaktylos A, Wortmann F. A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development. JMIR Formative Research 2022;6(6):e35717 View
20. Mohammadian M, Golchoobian R. Potential autonomic nervous system dysfunction in COVID-19 patients detected by heart rate variability is a sign of SARS-CoV-2 neurotropic features. Molecular Biology Reports 2022;49(8):8131 View
21. Deschodt-Arsac V, Berger V, Khlouf L, Arsac L. Degraded Psychophysiological Status in Caregivers and Human Resources Staff during a COVID-19 Peak Unveiled by Psychological and HRV Testing at Workplace. International Journal of Environmental Research and Public Health 2022;19(3):1710 View
22. Temple D, Hegarty-Craver M, Furberg R, Preble E, Bergstrom E, Gardener Z, Dayananda P, Taylor L, Lemm N, Papargyris L, McClain M, Nicholson B, Bowie A, Miggs M, Petzold E, Woods C, Chiu C, Gilchrist K. Wearable Sensor-Based Detection of Influenza in Presymptomatic and Asymptomatic Individuals. The Journal of Infectious Diseases 2022 View
23. Scala I, Rizzo P, Bellavia S, Brunetti V, Colò F, Broccolini A, Della Marca G, Calabresi P, Luigetti M, Frisullo G. Autonomic Dysfunction during Acute SARS-CoV-2 Infection: A Systematic Review. Journal of Clinical Medicine 2022;11(13):3883 View
24. Duarte N, Arora R, Bennett G, Wang M, Snyder M, Cooperstock J, Wagner C, Pani D. Deploying wearable sensors for pandemic mitigation: A counterfactual modelling study of Canada’s second COVID-19 wave. PLOS Digital Health 2022;1(9):e0000100 View
25. Hunter A, Leckie T, Coe O, Hardy B, Fitzpatrick D, Gonçalves A, Standing M, Koulouglioti C, Richardson A, Hodgson L. Using Smartwatches to Observe Changes in Activity During Recovery From Critical Illness Following COVID-19 Critical Care Admission: 1-Year, Multicenter Observational Study. JMIR Rehabilitation and Assistive Technologies 2022;9(2):e25494 View
26. Gadaleta M, Radin J, Baca-Motes K, Ramos E, Kheterpal V, Topol E, Steinhubl S, Quer G. Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. npj Digital Medicine 2021;4(1) View
27. Liu S, Han J, Puyal E, Kontaxis S, Sun S, Locatelli P, Dineley J, Pokorny F, Costa G, Leocani L, Guerrero A, Nos C, Zabalza A, Sørensen P, Buron M, Magyari M, Ranjan Y, Rashid Z, Conde P, Stewart C, Folarin A, Dobson R, Bailón R, Vairavan S, Cummins N, Narayan V, Hotopf M, Comi G, Schuller B, Consortium R. Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognition 2022;123:108403 View
28. Khondakar K, Kaushik A. Role of Wearable Sensing Technology to Manage Long COVID. Biosensors 2022;13(1):62 View
29. Hijazi H, Abu Talib M, Hasasneh A, Bou Nassif A, Ahmed N, Nasir Q. Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19. Sensors 2021;21(24):8424 View
30. Mankodiya H, Palkhiwala P, Gupta R, Jadav N, Tanwar S, Neagu B, Grigoras G, Alqahtani F, Shehata A. A Real-Time Crowdsensing Framework for Potential COVID-19 Carrier Detection Using Wearable Sensors. Mathematics 2022;10(16):2927 View
31. Skazkina V, Krasikova N, Borovkova E, Ishbulatov Y, Gorshkov A, Korolev A, Dadaeva V, Fedorovich A, Kuligin A, Drapkina O, Karavaev A, Kiselev A. Synchronization Of Autonomic Control Loops Of Blood Circulation In Patients With COVID-19. Russian Open Medical Journal 2021;10(3) View
32. Goergen C, Tweardy M, Steinhubl S, Wegerich S, Singh K, Mieloszyk R, Dunn J. Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data. Annual Review of Biomedical Engineering 2022;24(1):1 View
33. Cheong S, Ng Y, Lau Y, Lau S. Wearable technology for early detection of COVID-19: A systematic scoping review. Preventive Medicine 2022;162:107170 View
34. Gepner Y, Mofaz M, Oved S, Yechezkel M, Constantini K, Goldstein N, Eisenkraft A, Shmueli E, Yamin D. Utilizing wearable sensors for continuous and highly-sensitive monitoring of reactions to the BNT162b2 mRNA COVID-19 vaccine. Communications Medicine 2022;2(1) View
35. Hou R, Tomalin L, Suárez-Fariñas M. cosinoRmixedeffects: an R package for mixed-effects cosinor models. BMC Bioinformatics 2021;22(1) View
36. Braun B, Histing T, Menger M, Platte J, Grimm B, Hanflik A, Richter P, Sivananthan S, Yarboro S, Gueorguiev B, Pokhvashchev D, Marmor M. “Bring Your Own Device”—A New Approach to Wearable Outcome Assessment in Trauma. Medicina 2023;59(2):403 View
37. Dong C, Qiao Y, Shang C, Liao X, Yuan X, Cheng Q, Li Y, Zhang J, Wang Y, Chen Y, Ge Q, Bao Y. Non-contact screening system based for COVID-19 on XGBoost and logistic regression. Computers in Biology and Medicine 2022;141:105003 View
38. Hirten R, Tomalin L, Danieletto M, Golden E, Zweig M, Kaur S, Helmus D, Biello A, Pyzik R, Bottinger E, Keefer L, Charney D, Nadkarni G, Suarez-Farinas M, Fayad Z. Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers. JAMIA Open 2022;5(2) View
39. van Goor H, van Loon K, Breteler M, Kalkman C, Kaasjager K, Oster H. Circadian patterns of heart rate, respiratory rate and skin temperature in hospitalized COVID-19 patients. PLOS ONE 2022;17(7):e0268065 View
40. Kwon C. The Impact of SARS-CoV-2 Infection on Heart Rate Variability: A Systematic Review of Observational Studies with Control Groups. International Journal of Environmental Research and Public Health 2023;20(2):909 View
41. Maloberti A, Ughi N, Bernasconi D, Rebora P, Cartella I, Grasso E, Lenoci D, Del Gaudio F, Algeri M, Scarpellini S, Perna E, Verde A, Santolamazza C, Vicari F, Frigerio M, Alberti A, Valsecchi M, Rossetti C, Epis O, Giannattasio C. Heart Rate in Patients with SARS-CoV-2 Infection: Prevalence of High Values at Discharge and Relationship with Disease Severity. Journal of Clinical Medicine 2021;10(23):5590 View
42. Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, Foschini L, Goldenberg A. Machine learning COVID-19 detection from wearables. The Lancet Digital Health 2023;5(4):e182 View
43. Hadid A, McDonald E, Cheng M, Papenburg J, Libman M, Dixon P, Jensen D. The WE SENSE study protocol: A controlled, longitudinal clinical trial on the use of wearable sensors for early detection and tracking of viral respiratory tract infections. Contemporary Clinical Trials 2023;128:107103 View
44. Breda J, Springston M, Mariakakis A, Patel S. FeverPhone. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(1):1 View
45. Hunter V, Shapiro A, Chawla D, Drawnel F, Ramirez E, Phillips E, Tadesse-Bell S, Foschini L, Ukachukwu V. Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study. Journal of Medical Internet Research 2023;25:e41050 View
46. Jayaraman P, Crouse A, Nadkarni G, Might M. A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine. Kidney360 2023;4(4):e544 View
47. Mattison G, Canfell O, Forrester D, Dobbins C, Smith D, Reid D, Sullivan C. A step in the right direction: the potential role of smartwatches in supporting chronic disease prevention in health care. Medical Journal of Australia 2023;218(9):384 View
48. Hirten R, Suprun M, Danieletto M, Zweig M, Golden E, Pyzik R, Kaur S, Helmus D, Biello A, Landell K, Rodrigues J, Bottinger E, Keefer L, Charney D, Nadkarni G, Suarez-Farinas M, Fayad Z. A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort. JAMIA Open 2023;6(2) View
49. Dolezalova N, Gkrania-Klotsas E, Morelli D, Moore A, Cunningham A, Booth A, Plans D, Reed A, Aral M, Rennie K, Wareham N. Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity. Scientific Reports 2023;13(1) View
50. Sanches C, Silva G, Librantz A, Sampaio L, Belan P. Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47112 View
51. Hasasneh A, Hijazi H, Talib M, Afadar Y, Nassif A, Nasir Q. Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring. Diagnostics 2023;13(19):3071 View
52. Seshadri D, Harlow E, Thom M, Emery M, Phelan D, Hsu J, Düking P, De Mey K, Sheehan J, Geletka B, Flannery R, Calcei J, Karns M, Salata M, Gabbett T, Voos J. Wearable technology in the sports medicine clinic to guide the return-to-play and performance protocols of athletes following a COVID-19 diagnosis. DIGITAL HEALTH 2023;9 View
53. Maschewski F, Nosthoff A. Pandemic Solutionism: The Power of Big Tech during the COVID-19 Crisis. SSRN Electronic Journal 2023 View
54. Rentería L, Greenwalt C, Johnson S, Kviatkovsky S, Dupuit M, Angeles E, Narayanan S, Zeleny T, Ormsbee M. Early Detection of COVID-19 in Female Athletes Using Wearable Technology. Sports Health: A Multidisciplinary Approach 2024;16(4):512 View
55. YOSHIDA Y, YUDA E. Transition in human heart rate variability indices due to spread of the COVID-19: Comparison of young and elderly groups by ALLSTAR big data analysis. International Symposium on Affective Science and Engineering 2023;ISASE2023(0):1 View
56. Hirten R, Danieletto M, Landell K, Zweig M, Golden E, Orlov G, Rodrigues J, Alleva E, Ensari I, Bottinger E, Nadkarni G, Fuchs T, Fayad Z. Development of the ehive Digital Health App: Protocol for a Centralized Research Platform. JMIR Research Protocols 2023;12:e49204 View
57. Braun B, Histing T, Menger M, Herath S, Mueller-Franzes G, Grimm B, Marmor M, Truhn D. Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach. Injury 2024;55(2):111254 View
58. Li K, Cardoso C, Moctezuma-Ramirez A, Elgalad A, Perin E. Heart Rate Variability Measurement through a Smart Wearable Device: Another Breakthrough for Personal Health Monitoring?. International Journal of Environmental Research and Public Health 2023;20(24):7146 View
59. Hirten R, Lin K, Whang J, Shahub S, Churcher N, Helmus D, Muthukumar S, Sands B, Prasad S. Longitudinal monitoring of IL-6 and CRP in inflammatory bowel disease using IBD-AWARE. Biosensors and Bioelectronics: X 2024;16:100435 View
60. Babu M, Lautman Z, Lin X, Sobota M, Snyder M. Wearable Devices: Implications for Precision Medicine and the Future of Health Care. Annual Review of Medicine 2024;75(1):401 View
61. Oliveira S, Dos Santos D, Gadelha C, Moita S, Da Silva L, De Oliveira N, Santos L, Da Silva D, De Sousa L, Da Silva J. USO DE TECNOLOGIAS DIGITAIS EM SAÚDE NO ENFRENTAMENTO DA PANDEMIA DE COVID-19: UMA REVISÃO. Revista Contemporânea 2024;4(1):4837 View
62. Salehzadeh Niksirat K, Velykoivanenko L, Zufferey N, Cherubini M, Huguenin K, Humbert M. Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. ACM Computing Surveys 2024;56(7):1 View
63. Kasl P, Keeler Bruce L, Hartogensis W, Dasgupta S, Pandya L, Dilchert S, Hecht F, Gupta A, Altintas I, Mason A, Smarr B. Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach. Sensors 2024;24(6):1818 View
64. Velmovitsky P, Kirolos M, Alencar P, Leatherdale S, Cowan D, Morita P. Leveraging mHealth Technologies for Public Health. JMIR Public Health and Surveillance 2024;10:e49719 View
65. Chambers P. Staunch the Age Related Decline into Dementia, Cancer, Autoimmunity (Long Covid), Obesity, and Other Diseases with a Prebiotic, Probiotic, Postbiotic Triple Play. Qeios 2024 View
66. Chambers P. Staunch the Age Related Decline into Dementia, Cancer, Autoimmunity (Long Covid), Obesity, and Other Diseases with a Prebiotic, Probiotic, Postbiotic Triple Play. Qeios 2024 View
67. Chambers P. Staunch the Age Related Decline into Dementia, Cancer, Autoimmunity (Long Covid), Obesity, and Other Diseases with a Prebiotic, Probiotic, Postbiotic Triple Play. Qeios 2024 View
68. Volpes G, Valenti S, Genova G, Barà C, Parisi A, Faes L, Busacca A, Pernice R. Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements. Biosensors 2024;14(4):205 View
69. Hirten R, Danieletto M, Landell K, Zweig M, Golden E, Pyzik R, Kaur S, Chang H, Helmus D, Sands B, Charney D, Nadkarni G, Bagiella E, Keefer L, Fayad Z. Remote Short Sessions of Heart Rate Variability Biofeedback Monitored With Wearable Technology: Open-Label Prospective Feasibility Study. JMIR Mental Health 2024;11:e55552 View
70. Snir S, Chen Y, Yechezkel M, Patalon T, Shmueli E, Brandeau M, Yamin D. Changes in behavior and biomarkers during the diagnostic decision period for COVID-19, influenza, and group A streptococcus (GAS): a two-year prospective cohort study in Israel. The Lancet Regional Health - Europe 2024;42:100934 View
71. Liviero F, Scapellato M, Volpin A, Battistella M, Fabris L, Brischigliaro L, Folino F, Moretto A, Mason P, Pavanello S. Long term follow-up of heart rate variability in healthcare workers with mild COVID-19. Frontiers in Neurology 2024;15 View
72. Addleman J, Lackey N, DeBlauw J, Hajduczok A. Heart Rate Variability Applications in Strength and Conditioning: A Narrative Review. Journal of Functional Morphology and Kinesiology 2024;9(2):93 View
73. Zhang C, Sun A, Liao J, Zhang C, Yu K, Ma X, Wang G. COVID-19 surveillance based on consumer wearable devices. DIGITAL HEALTH 2024;10 View
74. Gaur P, Temple D, Hegarty-Craver M, Boyce M, Holt J, Wenger M, Preble E, Eckhoff R, McCombs M, Davis-Wilson H, Walls H, Dausch D. Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study. JMIR Formative Research 2024;8:e53977 View
75. YOSHIDA Y, YUDA E. Transition of Human Heart Rate Variability and Body Acceleration during the COVID-19 Pandemic Observed from Holter Electrocardiogram Big Data. International Journal of Affective Engineering 2024;23(3):291 View
76. Velmovitsky P, Alencar P, Leatherdale S, Cowan D, Morita P. Application of a mobile health data platform for public health surveillance: A case study in stress monitoring and prediction. DIGITAL HEALTH 2024;10 View
77. Ryan J, Navaneethan S, Damaso N, Dilchert S, Hartogensis W, Natale J, Hecht F, Mason A, Smarr B. Information theory reveals physiological manifestations of COVID-19 that correlate with symptom density of illness. Frontiers in Network Physiology 2024;4 View
78. Farooq K, Lim M, Dennison-Hall L, Janson F, Olszewska A, Ahmad Zabidi M, Haratym-Rojek A, Narowski K, Clinch B, Prunotto M, Chawla D, Hunter V, Ukachukwu V. Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study. Journal of Medical Internet Research 2024;26:e47879 View
79. Komaenthammasophon C, Pachinburavan M, Chokesuwattanaskul R. Heart rate variability and mortality in critically ill COVID-19 pneumonia patients. Heliyon 2024;10(15):e34842 View
80. Esmaeilpour Z, Natarajan A, Su H, Faranesh A, Friel C, Zanos T, D’Angelo S, Heneghan C. Detection of Common Respiratory Infections, Including COVID-19, Using Consumer Wearable Devices in Health Care Workers: Prospective Model Validation Study. JMIR Formative Research 2024;8:e53716 View
81. Quer G, Coughlin E, Villacian J, Delgado F, Harris K, Verrant J, Gadaleta M, Hung T, Ter Meer J, Radin J, Ramos E, Adams M, Kim L, Chien J, Baca-Motes K, Pandit J, Talantov D, Steinhubl S. Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial. The Lancet Digital Health 2024;6(8):e546 View
82. Yu E, Bravo M, Avelino-Silva V, Bruhn R, Busch M, Custer B. Higher intraindividual variability of body mass index is associated with elevated risk of COVID-19 related hospitalization and post-COVID conditions. International Journal of Obesity 2024;48(12):1711 View
83. El-Toukhy S, Hegeman P, Zuckerman G, Das A, Moses N, Troendle J, Powell-Wiley T. Study of Postacute Sequelae of COVID-19 Using Digital Wearables: Protocol for a Prospective Longitudinal Observational Study. JMIR Research Protocols 2024;13:e57382 View
84. Chen Y, She D, Guo Y, Chen W, Li J, Li D, Xie L. Smartwatch-based algorithm for early detection of pulmonary infection: Validation and performance evaluation. DIGITAL HEALTH 2024;10 View
85. Friedman Y. Conceptual scaffolding for the philosophy of medicine. Medicine, Health Care and Philosophy 2024 View
86. Enichen E, Heydari K, Wang S, Nickel G, Kvedar J. The utility of personal wearable data in long COVID and personalized patient care. npj Digital Medicine 2024;7(1) View
87. Goosen A, Foster-Bonds R, Vogel J. Wearable Devices Enable Long COVID Patients to Decrease Symptom Severity: A Case Series From Pilot User Testing. Cardiopulmonary Physical Therapy Journal 2024 View

Books/Policy Documents

1. Latif T, Dieffenderfer J, da Silva R, Lobaton E, Bozkurt A. Encyclopedia of Sensors and Biosensors. View
2. Dhaliwal M, Sharma R, Bindra N. Machine Learning, Image Processing, Network Security and Data Sciences. View
3. Sathya A, Banik B. Smart Intelligent Computing and Applications, Volume 2. View
4. Zillien N, Wettmann N. ‚Öffentliches Leben‘: Gesellschaftsdiagnose Covid-19. View
5. Surantha N, Nico G, Henry M, Chandra W, Soewito B. Advances on P2P, Parallel, Grid, Cloud and Internet Computing. View
6. Hulick P, Ilbawi N. Comprehensive Precision Medicine. View