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

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 2023:1 View