Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency-Reference-Cited by-同舟云学术

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Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency

Published:2024 Issue: Volume:32 Page:3251-3260
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Kim Sangjoon J.¹^ORCID,Swanson Veronica A.¹,Collier George H.²,Rabinowitz Amanda R.³,Zondervan Daniel K.⁴,Reinkensmeyer David J.¹^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, University of California at Irvine, Irvine, CA, USA

2. Shepherd Center, Atlanta, GA, USA

3. Moss Rehabilitation Research Institute, Elkins Park, PA, USA

4. Flint Rehabilitation Devices, LLC, Irvine, CA, USA

Funder

National Institute of Independent Living, Disability, and Rehabilitation Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7333/10398877/10599279.pdf?arnumber=10599279

Reference51 articles.

1. Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Characterization of Incident Stroke Signs and Symptoms

3. Harnessing neuroplasticity for clinical applications

4. Activity, participation, and quality of life 6 months poststroke

5. Strengthening interventions increase strength and improve activity after stroke: a systematic review

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