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SRC-0a5af2985469 OBrien MK 2024

Evidence source and scope

O'Brien MK, Lanotte F, Khazanchi R, Shin SY, Lieber RL, Ghaffari R, et al. Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors. Physical therapy. 2024;104(2). DOI 10.1093/ptj/pzad183

This note indexes a cited or audit-added source. It may be an original study, review, guideline, form or methods reference. Treat the specific design and the evidence below as authoritative; a source note is not automatically a primary study.

DOI: 10.1093/ptj/pzad183

Bibliographic record from the original reports

Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.

O'Brien MK, Lanotte F, Khazanchi R, Shin SY, Lieber RL, Ghaffari R, et al. Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors. Physical therapy. 2024;104(2). DOI 10.1093/ptj/pzad183 Source examined: Full text.

Conditions: COND-STROKE Stroke

Scoped audit evidence

These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.

Stroke gait — gait

Methods and the performance table confirm 55 recruited, 32 ambulatory models, 50 combined training participants and eight nonambulatory test cases. Nested leave-one-subject-out validation predicts discharge scale categories. Fifty participants overlap an earlier sensor-free publication.

Source locator: audit evidence record E009–028,E039,E046,E058

Limitations: BBS category is not actual future falls. Internal validation and small single-site samples restrict prognosis.

Reports citing this source

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