Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9341, first published .
Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity

Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity

Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity

Journals

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  3. Ash G, Stults-Kolehmainen M, Busa M, Gregory R, Garber C, Liu J, Gerstein M, Casajus J, Gonzalez-Aguero A, Constantinou D, Geistlinger M, Guppy F, Pigozzi F, Pitsiladis Y. Establishing a Global Standard for Wearable Devices in Sport and Fitness: Perspectives from the New England Chapter of the American College of Sports Medicine Members. Current Sports Medicine Reports 2020;19(2):45 View
  4. Emmanuel-Aviña G, Divis K, Abbott R. Physiological state in extreme environments. Pervasive and Mobile Computing 2018;50:137 View
  5. Lorenzetti S, Bianco A, Stefani L. The “Journal of Functional Morphology and Kinesiology” Journal Club Series: Highlights on Recent Papers in Athletic Training. Journal of Functional Morphology and Kinesiology 2018;3(4):49 View
  6. Lee‐Archer P, Kossowsky J, Cravero J. If the watch fits—Wear it. Pediatric Anesthesia 2020;30(5):518 View
  7. Black M, Milbourn B, Chen N, McGarry S, Wali F, Ho A, Lee M, Bölte S, Falkmer T, Girdler S. The use of wearable technology to measure and support abilities, disabilities and functional skills in autistic youth: a scoping review. Scandinavian Journal of Child and Adolescent Psychiatry and Psychology 2020;8(1):48 View
  8. Loncar-Turukalo T, Zdravevski E, Machado da Silva J, Chouvarda I, Trajkovik V. Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers. Journal of Medical Internet Research 2019;21(9):e14017 View
  9. Düking P, Achtzehn S, Holmberg H, Sperlich B. Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living. Sensors 2018;18(5):1632 View
  10. Dobkin B, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12) View
  11. Zhou L, DeAlmeida D, Parmanto B. Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study. JMIR mHealth and uHealth 2019;7(7):e13194 View
  12. Sperlich B, Aminian K, Düking P, Holmberg H. Editorial: Wearable Sensor Technology for Monitoring Training Load and Health in the Athletic Population. Frontiers in Physiology 2020;10 View
  13. Gilgen-Ammann R, Schweizer T, Wyss T. Accuracy of Distance Recordings in Eight Positioning-Enabled Sport Watches: Instrument Validation Study. JMIR mHealth and uHealth 2020;8(6):e17118 View
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  17. Evenson K, Spade C. Review of Validity and Reliability of Garmin Activity Trackers. Journal for the Measurement of Physical Behaviour 2020;3(2):170 View
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  26. Collazo C, González Santos J, González Bernal J, Cubo E. Estado sobre la situación del uso y utilidades potenciales de las nuevas tecnologías para medir actividad física. Revisión sistemática de la literatura. Atención Primaria Práctica 2020;2(6):100064 View
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  30. Tonti S, Marzolini B, Bulgheroni M. Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability Study. JMIR Biomedical Engineering 2021;6(2):e15417 View
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  34. Jourdan T, Debs N, Frindel C. The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors 2021;21(14):4808 View
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  37. Brannon G, Mitchell S, Liao Y. Addressing privacy concerns for mobile and wearable devices sensors: Small-group interviews with healthy adults and cancer survivors. PEC Innovation 2022;1:100022 View
  38. Leung W, Shi L, Jung J. Are individuals with disabilities using wearable devices? A secondary data analysis of 2017 BRFSS. Disability and Rehabilitation: Assistive Technology 2024;19(1):131 View
  39. 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
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  42. 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
  43. Kajwang B. Role of training needs assessment on the training outcomes in insurance sector in Kenya. Bussecon Review of Social Sciences (2687-2285) 2022;4(1):37 View
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  45. Verdel N, Podlogar T, Ciuha U, Holmberg H, Debevec T, Supej M. Reliability and Validity of the CORE Sensor to Assess Core Body Temperature during Cycling Exercise. Sensors 2021;21(17):5932 View
  46. Shei R, Holder I, Oumsang A, Paris B, Paris H. Wearable activity trackers–advanced technology or advanced marketing?. European Journal of Applied Physiology 2022;122(9):1975 View
  47. Düking P, Van Hooren B, Sperlich B. Assessment of Peak Oxygen Uptake with a Smartwatch and its Usefulness for Training of Runners. International Journal of Sports Medicine 2022;43(07):642 View
  48. Nissen M, Slim S, Jäger K, Flaucher M, Huebner H, Danzberger N, Fasching P, Beckmann M, Gradl S, Eskofier B. Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study. JMIR Formative Research 2022;6(3):e33635 View
  49. Düking P, Kunz P, Engel F, Mastek H, Sperlich B. Proof-of-concept and concurrent validity of a prototype headset to assess peak oxygen uptake without a face mask. BMC Research Notes 2022;15(1) View
  50. Popham S, Burq M, Rainaldi E, Shin S, Dunn J, Kapur R. An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study. JMIR Biomedical Engineering 2023;8:e43726 View
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Books/Policy Documents

  1. Schlegel M, Hill C. 21st Century Sports. View
  2. Riegler M, Thambawita V, Chatterjee A, Nguyen T, Hicks S, Telle-Hansen V, Pettersen S, Johansen D, Jain R, Halvorsen P. MultiMedia Modeling. View
  3. Schlegel M, Hill C. 21st Century Sports. View