Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors.

Authors:
O'Brien MK; Lanotte F; Khazanchi R; Shin SY; Lieber RL and 3 more

Journal:
Phys Ther

Publication Year: 2024

DOI:
10.1093/ptj/pzad183

PMCID:
PMC10851859

PMID:
38169444

Journal Information

Full Title: Phys Ther

Abbreviation: Phys Ther

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Physical and Rehabilitation Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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3/6
50.0% Transparent
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Evidence found in paper:

"Disclosures The authors completed the ICMJE Form for Disclosure of Potential Conflicts of Interest and reported no conflicts of interest."

Evidence found in paper:

"Funding This work was supported by the Shirley Ryan AbilityLab, with partial support from the National Institutes of Health under institutional training grants at Northwestern University (T32HD007418 to M.K.O.), center grant to establish the Center for Smart Use of Technology to Assess Real-world Outcomes (C-STAR, P2CHD101899 to R.L.L.), and the National Institute on Aging of the NIH (R43AG067835 to R.L.L.). This work was also supported in part by Research Career Scientist Award from the US Department of Veterans Affairs Rehabilitation R&D Service (IK6 RX003351 to R.L.L.). "

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025