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

Focus Groups and Qualitative Research for Human Factors Research (1220) Human Factors and Usability Case Studies (1005) Mobile Health (mhealth) (3464) Wearable Devices and Sensors (1133) mHealth for Wellness, Behavior Change and Prevention (3315) Kinesiology (23) Textile Sensors and Smart Textiles (16)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55246, first published .
Physical Therapists’ Acceptance of a Wearable, Fabric-Based Sensor System (Motion Tape) for Use in Clinical Practice: Qualitative Focus Group Study

Physical Therapists’ Acceptance of a Wearable, Fabric-Based Sensor System (Motion Tape) for Use in Clinical Practice: Qualitative Focus Group Study

Physical Therapists’ Acceptance of a Wearable, Fabric-Based Sensor System (Motion Tape) for Use in Clinical Practice: Qualitative Focus Group Study

Authors of this article:

Audrey Lee1 Author Orcid Image ;   Patricia Dionicio2 Author Orcid Image ;   Emilia Farcas3 Author Orcid Image ;   Job Godino3 Author Orcid Image ;   Kevin Patrick3, 4 Author Orcid Image ;   Elijah Wyckoff5 Author Orcid Image ;   Kenneth J Loh5 Author Orcid Image ;   Sara Gombatto6 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Lee A, Wyckoff E, Farcas E, Godino J, Patrick K, Spiegel S, Yu R, Kumar A, Loh K, Gombatto S. Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e57953 View
  2. Sher J, Lewis C, Lin C. Using Wearable Technologies to Monitor Physical Activity and Exercise in Patients: A Narrative Review. Current Sports Medicine Reports 2024;23(8):284 View
  3. Spiegel S, Wyckoff E, Barolo J, Lee A, Farcas E, Godino J, Patrick K, Loh K, Gombatto S. Motion Tape Strain During Trunk Muscle Engagement in Young, Healthy Participants. Sensors 2024;24(21):6933 View
  4. Lin Y, Loh K. Wearable patterned nanocomposite circuits for temperature compensated strain sensing. Smart Materials and Structures 2025;34(6):065036 View
  5. Williams C, Toth L, Osborne R, Bailey C, Joshi A. Assessing Physical Therapists’ Expectations and Experiences With an Automated Rehabilitation System Using Technology Acceptance Model: Multiple Methods Pilot Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e67440 View
  6. Huang S, Pierce T, Lin Y, Loh K. Boxing Punch Detection and Classification Using Motion Tape and Machine Learning. Sensors 2025;25(16):5027 View