Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation-Reference-Cited by-同舟云学术

Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation

Published:2022 Issue: Volume:10 Page:1-11
ISSN:2168-2372
Container-title:IEEE Journal of Translational Engineering in Health and Medicine
language:
Short-container-title:IEEE J. Transl. Eng. Health Med.

Author:

O'Brien Megan K.¹^ORCID,Shin Sung Y.²^ORCID,Khazanchi Rushmin³,Fanton Michael⁴^ORCID,Lieber Richard L.¹^ORCID,Ghaffari Roozbeh⁵^ORCID,Rogers John A.⁵^ORCID,Jayaraman Arun¹^ORCID

Affiliation:

1. Max Nader Laboratory for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, USA

2. NOV, Inc., Houston, TX, USA

3. Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

4. Alife Health, San Francisco, CA, USA

5. Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA

Funder

Shirley Ryan AbilityLab and the National Institutes of Health (NIH) through the institutional training grants at Northwestern University

NIH to establish the Center for Smart Use of Technology to Assess Real-world Outcomes

National Institute on Aging of the NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

http://xplorestaging.ieee.org/ielx7/6221039/9652399/09899432.pdf?arnumber=9899432

Reference37 articles.

1. Clinical Correlation Between Motor Evoked Potentials and Gait Recovery in Poststroke Patients

2. Time-Course of Changes in Arm Impairment After Stroke: Variables Predicting Motor Recovery Over 12 Months

3. Sensorimotor Impairments and Reaching Performance in Subjects With Poststroke Hemiparesis During the First Few Months of Recovery

4. Prediction of Post-stroke Falls by Quantitative Assessment of Balance

5. Quantifying dosage of physical therapy using lower body kinematics: a longitudinal pilot study on early post-stroke individuals

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automate, Illuminate, Predict: A Universal Framework for Integrating Wearable Sensors in Healthcare;Digital Biomarkers;2024-08-26

2. Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke;Archives of Physical Medicine and Rehabilitation;2024-08

3. Classification of Gait Phases by Using SVM and ANN Based on EMG Signals;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

4. Can We Target Close Therapeutic Goals in the Gait Re-Education Algorithm for Stroke Patients at the Beginning of the Rehabilitation Process?;Sensors;2024-05-25

5. The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint);2024-05-14