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

Wearables and MHealth Reviews (276) Wearable Devices and Sensors (903) Fitness Trackers and Smart Pedometers/Accelerometers (571) mHealth for Data Collection and Research (981)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20738, first published .
Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review

Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review

Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review

Authors of this article:

Sylvia Cho1 Author Orcid Image ;   Ipek Ensari2 Author Orcid Image ;   Chunhua Weng1 Author Orcid Image ;   Michael G Kahn3 Author Orcid Image ;   Karthik Natarajan1, 2 Author Orcid Image
Article Authors Cited by (52) Tweetations (14) Metrics

Journals

  1. Abdolkhani R, Gray K, Borda A, DeSouza R. Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e35917 View
  2. Subhan F, Mirza A, Su’ud M, Alam M, Nisar S, Habib U, Iqbal M. AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey. Applied Sciences 2023;13(3):1394 View
  3. Kraft R, Hofmann F, Reichert M, Pryss R. Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth. IEEE Journal of Biomedical and Health Informatics 2022;26(11):5439 View
  4. Lee W, Schwartz N, Bansal A, Khor S, Hammarlund N, Basu A, Devine B. A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices. Value in Health 2023;26(2):292 View
  5. Strain T, Wijndaele K, Pearce M, Brage S. Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity. Journal for the Measurement of Physical Behaviour 2022;5(1):8 View
  6. Horan M, Sim J, Krull K, Ness K, Yasui Y, Robison L, Hudson M, Baker J, Huang I. Ten Considerations for Integrating Patient-Reported Outcomes into Clinical Care for Childhood Cancer Survivors. Cancers 2023;15(4):1024 View
  7. Butkuviene M, Tamuleviciute-Prasciene E, Beigiene A, Barasaite V, Sokas D, Kubilius R, Petrenas A. Wearable-Based Assessment of Frailty Trajectories During Cardiac Rehabilitation After Open-Heart Surgery. IEEE Journal of Biomedical and Health Informatics 2022;26(9):4426 View
  8. Cho S, Weng C, Kahn M, Natarajan K. Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study. JMIR mHealth and uHealth 2021;9(12):e31618 View
  9. Tiwari A, Cassani R, Kshirsagar S, Tobon D, Zhu Y, Falk T. Modulation Spectral Signal Representation for Quality Measurement and Enhancement of Wearable Device Data: A Technical Note. Sensors 2022;22(12):4579 View
  10. Mun E, Cho J. Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ. Tuberculosis and Respiratory Diseases 2023;86(1):23 View
  11. Sunny J, Patro C, Karnani K, Pingle S, Lin F, Anekoji M, Jones L, Kesari S, Ashili S. Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects. Sensors 2022;22(3):756 View
  12. Cho S, Ensari I, Elhadad N, Weng C, Radin J, Bent B, Desai P, Natarajan K. An interactive fitness-for-use data completeness tool to assess activity tracker data. Journal of the American Medical Informatics Association 2022;29(12):2032 View
  13. Dandapani H, Davoodi N, Joerg L, Li M, Strauss D, Fan K, Massachi T, Goldberg E. Leveraging Mobile-Based Sensors for Clinical Research to Obtain Activity and Health Measures for Disease Monitoring, Prevention, and Treatment. Frontiers in Digital Health 2022;4 View
  14. Stuart T, Yin X, Chen S, Farley M, McGuire D, Reddy N, Thien R, DiMatteo S, Fumeaux C, Gutruf P. Context-aware electromagnetic design for continuously wearable biosymbiotic devices. Biosensors and Bioelectronics 2023;228:115218 View
  15. Sokas D, Tamuleviciute-Prasciene E, Beigiene A, Barasaite V, Marozas J, Kubilius R, Bailon R, Petrenas A. Wearable-based Assessment of Heart Rate Response to Physical Stressors in Patients After Open-Heart Surgery With Frailty. IEEE Journal of Biomedical and Health Informatics 2023:1 View
  16. Baumann S, Stone R, Genschel U, Mgaedeh F. The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface. International Journal of Human–Computer Interaction 2024;40(14):3782 View
  17. Mazzeo M, Hernan G, Veerubhotla A. Usability and ease of use of long-term remote monitoring of physical activity for individuals with acquired brain injury in community: a qualitative analysis. Frontiers in Neuroscience 2023;17 View
  18. Gadangi P, Lambert B, Goble H, Harris J, McCulloch P. Validated Wearable Device Shows Acute Postoperative Changes in Sleep Patterns Consistent With Patient-Reported Outcomes and Progressive Decreases in Device Compliance After Shoulder Surgery. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(5):100783 View
  19. Kazemi Kheiri S, Vahedi Z, Sun H, Megahed F, Cavuoto L. Human reliability modeling in occupational environments toward a safe and productive operator 4.0. International Journal of Industrial Ergonomics 2023;97:103479 View
  20. Eisner E, Berry N, Bucci S. Digital tools to support mental health: a survey study in psychosis. BMC Psychiatry 2023;23(1) View
  21. Wu D, Yang Z, Zhang P, Wang R, Yang B, Ma X. Virtual-Reality Interpromotion Technology for Metaverse: A Survey. IEEE Internet of Things Journal 2023;10(18):15788 View
  22. Xi Y, Tan P, Li Z, Fan Y. Self-powered wearable IoT sensors as human-machine interfaces. Soft Science 2023;3(3) View
  23. Żyliński M, Nassibi A, Mandic D. Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller. Sensors 2023;23(17):7521 View
  24. Foidl H, Golendukhina V, Ramler R, Felderer M. Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers. Journal of Systems and Software 2024;207:111855 View
  25. Muaaz M, Waqar S, Pätzold M. Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing. Sensors 2023;23(13):5810 View
  26. Wu J, Olson J, Brunke-Reese D, Lagoa C, Conroy D. Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity. Journal of Behavioral Medicine 2024;47(2):197 View
  27. Hughes M, Chico T. How Could Sensor-Based Measurement of Physical Activity Be Used in Cardiovascular Healthcare?. Sensors 2023;23(19):8154 View
  28. Syversen A, Dosis A, Jayne D, Zhang Z. Wearable Sensors as a Preoperative Assessment Tool: A Review. Sensors 2024;24(2):482 View
  29. Golendukhina V, Foidl H, Hörl D, Felderer M. A Catalog of Consumer IoT Device Characteristics for Data Quality Estimation. Journal of Data and Information Quality 2024;16(4):1 View
  30. Butkuvienė M, Petrėnas A, Martín-Yebra A, Marozas V, Sörnmo L. Characterization of Atrial Fibrillation Episode Patterns: A Comparative Study. IEEE Transactions on Biomedical Engineering 2024;71(1):106 View
  31. Akçura M, Ozdemir Z, Tarakci H. A Game-Theoretic Analysis of the Adoption of Patient-Generated Health Data. Journal of Theoretical and Applied Electronic Commerce Research 2024;19(1):315 View
  32. Pappot H, Steen-Olsen E, Holländer-Mieritz C. Experiences with Wearable Sensors in Oncology during Treatment: Lessons Learned from Feasibility Research Projects in Denmark. Diagnostics 2024;14(4):405 View
  33. Baumann S, Stone R, Kim J. Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring. Sensors 2024;24(7):2260 View
  34. Yang L, Amin O, Shihada B. Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports. ACM Computing Surveys 2024;56(7):1 View
  35. Miller A, Lang C, Bland M, Lohse K. Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  36. Jo Y, Lee S, Park S, Lee J. Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms: a four-week longitudinal study. Frontiers in Psychiatry 2024;15 View
  37. Baumann S, Stone R, Abdelall E. Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges. Sensors 2024;24(12):3977 View
  38. Chu J, Wilson H, Cai C, McCormack J, Newcombe D, Bullen C. Technologies for Supporting Individuals and Caregivers Living With Fetal Alcohol Spectrum Disorder: Scoping Review. JMIR Mental Health 2024;11:e51074 View
  39. Van Der Donckt J, Vandenbussche N, Van Der Donckt J, Chen S, Stojchevska M, De Brouwer M, Steenwinckel B, Paemeleire K, Ongenae F, Van Hoecke S. Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches. Scientific Reports 2024;14(1) View
  40. Ortiz A, Mulsant B. Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?. Journal of Medical Internet Research 2024;26:e59826 View
  41. Wong A, Bayuo J, Su J, Chow K, Wong S, Wong B, Lee A, Wong F. Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e49403 View
  42. Kim B, Sri Preethaa K, Song S, Lukacs R, An J, Chen Z, An E, Kim S. Internet of things and ensemble learning-based mental and physical fatigue monitoring for smart construction sites. Journal of Big Data 2024;11(1) View
  43. Frodi D, Kolk M, Langford J, Knops R, Tan H, Andersen T, Jacobsen P, Risum N, Svendsen J, Tjong F, Diederichsen S. Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population. European Heart Journal - Digital Health 2024;5(5):622 View
  44. Ortiz B, Gupta V, Kumar R, Jalin A, Cao X, Ziegenbein C, Singhal A, Tewari M, Choi S. Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care. JMIR mHealth and uHealth 2024;12:e59587 View
  45. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  46. Botonis O, Mendley J, Aalla S, Veit N, Fanton M, Lee J, Tripathi V, Pandi V, Khobragade A, Chaudhary S, Chaudhuri A, Narayanan V, Xu S, Jeong H, Rogers J, Jayaraman A. Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India). npj Digital Medicine 2024;7(1) View
  47. Nielsen K, Mobley K, Culbreth R, Palmier J, Nabulya A, Swahn M. Feasibility and acceptability of wearable devices and daily diaries to assess sleep and other health indicators among young women in the slums of Kampala, Uganda. DIGITAL HEALTH 2024;10 View
  48. Afraz A, Chashmyazdan M, Khajouei R, Bagherinezhad Z. Literature Searches in Medical Informatics Systematic Reviews: Suggested Approaches. Medical Reference Services Quarterly 2024:1 View
  49. 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
  50. Olawade D, Aderinto N, Clement David-Olawade A, Egbon E, Adereni T, Popoola M, Tiwari R. Integrating AI-driven wearable devices and biometric data into stroke risk assessment: A review of opportunities and challenges. Clinical Neurology and Neurosurgery 2025;249:108689 View

Books/Policy Documents

  1. Laurindo L, de Moura I, Coutinho L, da Silva e Silva F. Pervasive Computing Technologies for Healthcare. View