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Gait pattern stratification in persons with incomplete spinal cord injury: a data-driven approach.

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Bibliographic Details
Title: Gait pattern stratification in persons with incomplete spinal cord injury: a data-driven approach.
Authors: Truong MTN; KTH MoveAbility, Department of Engineering Mechanics, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden., Forslund EB; Aleris Rehab Station R&D Unit, 169 89, Solna, Sweden.; Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy and Division of Clinical Geriatrics, Karolinska Institutet, 141 83, Stockholm, Sweden., Seiger Å; Aleris Rehab Station R&D Unit, 169 89, Solna, Sweden.; Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, 141 83, Stockholm, Sweden., Gutierrez-Farewik EM; KTH MoveAbility, Department of Engineering Mechanics, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden. lanie@kth.se.; Department of Women's and Children's Health, Karolinska Institutet, 171 77, Stockholm, Sweden. lanie@kth.se.
Source: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2026 Feb 26; Vol. 23 (1). Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Electronic Cited Medium: Internet ISSN: 1743-0003 (Electronic) Linking ISSN: 17430003 NLM ISO Abbreviation: J Neuroeng Rehabil Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1743-0003
DOI:10.1186/s12984-026-01896-w