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

mHealth for Wellness, Behavior Change and Prevention (2922) Mobile Health (mhealth) (2982) Human Factors and Usability Case Studies (809) Usability of Apps and User Perceptions of mHealth (993) Design and Formative Evaluation of Mobile Apps (706) Wearable Devices and Sensors (903) Fitness Trackers and Smart Pedometers/Accelerometers (571)

Published on in Vol 6, No 1 (2018): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8115, first published .
A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

Authors of this article:

Martin Aidan O'Reilly1, 2 Author Orcid Image ;   Patrick Slevin1, 2 Author Orcid Image ;   Tomas Ward3, 4 Author Orcid Image ;   Brian Caulfield1, 2 Author Orcid Image
Article Authors Cited by (17) Tweetations (24) Metrics

Journals

  1. Zhang X, Shan G, Wang Y, Wan B, Li H. Wearables, Biomechanical Feedback, and Human Motor-Skills’ Learning & Optimization. Applied Sciences 2019;9(2):226 View
  2. Argent R, Slevin P, Bevilacqua A, Neligan M, Daly A, Caulfield B. Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System. Sensors 2019;19(2):432 View
  3. Schobel J, Probst T, Reichert M, Schlee W, Schickler M, Kestler H, Pryss R. Measuring Mental Effort for Creating Mobile Data Collection Applications. International Journal of Environmental Research and Public Health 2020;17(5):1649 View
  4. Hua A, Johnson N, Quinton J, Chaudhary P, Buchner D, Hernandez M. Design of a Low-Cost, Wearable Device for Kinematic Analysis in Physical Therapy Settings. Methods of Information in Medicine 2020;59(01):041 View
  5. Ishii S, Yokokubo A, Luimula M, Lopez G. ExerSense: Physical Exercise Recognition and Counting Algorithm from Wearables Robust to Positioning. Sensors 2020;21(1):91 View
  6. Keogh A, Dorn J, Walsh L, Calvo F, Caulfield B. Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study. JMIR mHealth and uHealth 2020;8(4):e15704 View
  7. Ingvaldsen S, Tronvik E, Brenner E, Winnberg I, Olsen A, Gravdahl G, Stubberud A. A Biofeedback App for Migraine: Development and Usability Study. JMIR Formative Research 2021;5(7):e23229 View
  8. Dewi N, Listiaji P, Taufiq M, Savitri E, Yanitama A, Herianti A. Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang. Journal of Physics: Conference Series 2021;1918(4):042010 View
  9. Anglès-Acedo S, López-Frías L, Soler V, Alonso J, Kastelein A, Graaf B, Vodegel E, Tervo J, Baban A, Espuña-Pons M. The WOMEN-UP Solution, a Patient-Centered Innovative e-Health Tool for Pelvic Floor Muscle Training: Qualitative and Usability Study during Early-Stage Development. International Journal of Environmental Research and Public Health 2021;18(15):7800 View
  10. Martin-Payo R, Carrasco-Santos S, Cuesta M, Stoyan S, Gonzalez-Mendez X, Fernandez-Alvarez M. Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS). Journal of the American Medical Informatics Association 2021;28(12):2681 View
  11. Azad-Khaneghah P, Roduta Roberts M, Liu L. Alberta Rating Index for Apps: Study of Reliability and Validity. Canadian Journal of Occupational Therapy 2022;89(3):326 View
  12. Szabo D, Neagu N, Teodorescu S, Apostu M, Predescu C, Pârvu C, Veres C. The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches. Sensors 2023;23(21):8950 View
  13. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  14. Chettri L, Rai R. A Perspective Review: State-of-the-Art on m-Health Services. SN Computer Science 2024;5(5) View
  15. Prochaska E, Ammenwerth E. Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e54939 View

Books/Policy Documents

  1. Ishii S, Nkurikiyeyezu K, Luimula M, Yokokubo A, Lopez G. Activity and Behavior Computing. View