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
.
Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Books/Policy Documents
- Adans-Dester C, Lang C, Reinkensmeyer D, Bonato P. Neurorehabilitation Technology. View