Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.
Wearable movement sensing has enormous potential to transform the field of neurorehabilitation and neural repair. This perspective paper discusses: (1) the case for wearable sensing as a compelling, scalable measurement tool, (2) moving from first generation to second generation research in wearable...
| Published in: | Neurorehabilitation & Neural Repair Vol. 40; no. 9; pp. 746 - 760 |
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| Main Authors: | , , , , , |
| Format: | pictorial tables/charts Journal Article |
| Published: |
Sage Publications Inc.
Sep2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196514276&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196514276 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459683 IRK jtl: Neurorehabilitation & Neural Repair issn: 15459683 maglogo: Y pubinfo: dt: Sep2026 vid: 40 iid: 9 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 196514276 191043984 196514276 196514276 10.1177/15459683251412310 196514276 ppf: 746 ppct: 14 formats: tig: atl: Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing. aug: au: Lang, Catherine E. Miller, Allison E. Macpherson, Chelsea E. Bland, Marghuretta D. Holleran, Carey L. Lohse, Keith R. affil: Program in Physical Therapy, WashU Medicine, Saint Louis, MO, USA sug: subj: Nervous System Diseases Rehabilitation Recovery Wearable Sensors Utilization Movement Evaluation Clinical Assessment Tools Research, Medical Data Analysis Motor Skills Digital Health Biological Markers Analysis Implementation Science Digital Technology Accelerometry Activities of Daily Living Functional Status ab: Wearable movement sensing has enormous potential to transform the field of neurorehabilitation and neural repair. This perspective paper discusses: (1) the case for wearable sensing as a compelling, scalable measurement tool, (2) moving from first generation to second generation research in wearable movement sensing, (3) the enormity in the potential range of use cases for wearable technology, and (4) challenges that lie ahead for moving from research space into clinical rehabilitation care. Wearable sensors, as a measurement tool, offer a data-rich avenue for measuring numerous dimensions of motor behavior in the clinic and in daily life, complementing other available tools. Second-generation research questions focus on determining how to quantify, for whom, when, and with what variable(s). Answering these second-generation questions requires substantial evidence at the individual use case level; we provide 1 exemplar variable and its evidence within stroke recovery and rehabilitation. Potential use cases for deployment of wearable movement sensors span developmental, acquired, and degenerative neurological conditions and variables extracted can be intended as digital biomarkers and/or digital clinical outcome assessments. As research progresses, we look forward to the translation of this measurement tool into routine clinical care and welcome implementation challenges related to readiness, approach, and presentation in the busy, complex, healthcare arena. Achieving the promise of wearable movement sensing will require extensive collaboration, as exemplified by Dr. Wolf, across research teams, disciplines, institutions, people with lived experience, and other stakeholders. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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