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

mHealth for Rehabilitation (269) New Methods (963) Wearable Devices and Sensors (903) Cognitive and Neurorehabilitation (267) Innovations in Exercise Rehabilitation (216) Portable and Mobile Technologies for Rehabilitation (156) Stroke (166)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17036, first published .
Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study

Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study

Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study

Authors of this article:

Nada Elizabeth June Signal1 Author Orcid Image ;   Ruth McLaren1 Author Orcid Image ;   Usman Rashid1 Author Orcid Image ;   Alain Vandal2 Author Orcid Image ;   Marcus King3 Author Orcid Image ;   Faisal Almesfer4 Author Orcid Image ;   Jeanette Henderson5 Author Orcid Image ;   Denise Taylor1 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

Journals

  1. Schwerz de Lucena D, Rowe J, Okita S, Chan V, Cramer S, Reinkensmeyer D. Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. Sensors 2022;22(18):6938 View
  2. Judy L, Morrow C, Seo N. Development and evaluation of an efficient training program to facilitate the adoption of a novel neurorehabilitation device. Journal of Rehabilitation and Assistive Technologies Engineering 2023;10 View
  3. Simpson L, Menon C, Hodgson A, Ben Mortenson W, Eng J. Clinicians’ perceptions of a potential wearable device for capturing upper limb activity post-stroke: a qualitative focus group study. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  4. Lundquist C, Nguyen B, Hvidt T, Stabel H, Christensen J, Brunner I. Changes in Upper Limb Capacity and Performance in the Early and Late Subacute Phase After Stroke. Journal of Stroke and Cerebrovascular Diseases 2022;31(8):106590 View
  5. Zhou L, Wu B, Qin B, Gao F, Li W, Hu H, Zhu Q, Qian Z. Cortico-muscular coherence of time–frequency and spatial characteristics under movement observation, movement execution, and movement imagery. Cognitive Neurodynamics 2024;18(3):1079 View
  6. Signal N, Olsen S, Rashid U, McLaren R, Vandal A, King M, Taylor D. Haptic Nudging Using a Wearable Device to Promote Upper Limb Activity during Stroke Rehabilitation: Exploring Diurnal Variation, Repetition, and Duration of Effect. Behavioral Sciences 2023;13(12):995 View
  7. Gooch H, Jarvis K, Stockley R. Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. Journal of Medical Internet Research 2024;26:e48725 View
  8. Seo N, Coupland K, Finetto C, Scronce G. Wearable Sensor to Monitor Quality of Upper Limb Task Practice for Stroke Survivors at Home. Sensors 2024;24(2):554 View
  9. Pereira A, Machado Neto O, Elui V, Pimentel M. Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study (Preprint). JMIR Aging 2023 View
  10. Lobo P, Morais P, Murray P, Vilaça J. Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review. Sensors 2024;24(24):7973 View

Books/Policy Documents

  1. Adans-Dester C, Lang C, Reinkensmeyer D, Bonato P. Neurorehabilitation Technology. View