ArticleJournal of neuroengineering and rehabilitation2014
Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.
Article in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 62 citations in OpenAlex.
- Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.Medical & biological engineering & computing · 2026Observational
- Anchor-based evaluation of digital motor biomarkers from a 2-year observation in 100 patients with multiple sclerosis.Journal of neurology · 2025Observational
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- Digital Motor Biomarkers of Cerebellar Ataxia Using an RGB-Depth Camera-Based Motion Analysis System.Cerebellum (London, England) · 2024Article
- RGB-Depth Camera-Based Assessment of Motor Capacity: Normative Data for Six Standardized Motor Tasks.International journal of environmental research and public health · 2022Article
- Proposal for Post Hoc Quality Control in Instrumented Motion Analysis Using Markerless Motion Capture: Development and Usability Study.JMIR human factors · 2022Article
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
- Article
- Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicine.The EPMA journal · 2021Article
- Standardization and digitization of clinical data in multiple sclerosis.Nature reviews. Neurology · 2021Review
- Speed but Not Smoothness of Gait Reacts to Rehabilitation in Multiple Sclerosis.Multiple sclerosis international · 2021Article
- Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson's Disease.Sensors (Basel, Switzerland) · 2020Article
- The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.Frontiers in neuroscience · 2020Article
- Contactless recording of sleep apnea and periodic leg movements by nocturnal 3-D-video and subsequent visual perceptive computing.Scientific reports · 2019Article
- Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients.Sensors (Basel, Switzerland) · 2019Article
- MRI Markers and Functional Performance in Patients With CIS and MS: A Cross-Sectional Study.Frontiers in neurology · 2018Article
- Dual Kinect v2 system can capture lower limb kinematics reasonably well in a clinical setting: concurrent validity of a dual camera markerless motion capture system in professional football players.BMJ open sport & exercise medicine · 2018Article
- Using a Somatosensory Controller to Assess Body Size for Size-Specific Dose Estimates in Computed Tomography.BioMed research international · 2018Article
- Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.Frontiers in neurology · 2017Review
- Maximum walking speed in multiple sclerosis assessed with visual perceptive computing.PloS one · 2017Observational
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe investigated the applicability and feasibility of perceptive computing assisted gait analysis in multiple sclerosis (MS) patients using Microsoft Kinect™. To detect the maximum walking speed and the degree of spatial sway, we established a computerized and observer-independent measure, which we named Short Maximum Speed Walk (SMSW), and compared it to established clinical measures of gait disability in MS, namely the Expanded Disability Status Scale (EDSS) and the Timed 25-Foot Walk (T25FW).
methodsCross-sectional study of 22 MS patients (age mean ± SD 43 ± 9 years, 13 female) and 22 age and gender matched healthy control subjects (HC) (age 37 ± 11 years, 13 female). The disability level of each MS patient was graded using the EDSS (median 3.0, range 0.0-6.0). All subjects then performed the SMSW and the Timed 25-Foot Walk (T25FW). The SMSW comprised five gait parameters, which together assessed average walking speed and gait stability in different dimensions (left/right, up/down and 3D deviation).
resultsSMSW average walking speed was slower in MS patients (1.6 ± 0.3 m/sec) than in HC (1.8 ± 0.4 m/sec) (p = 0.005) and correlated well with EDSS (Spearman's Rho 0.676, p < 0.001). Furthermore, SMSW revealed higher left/right deviation in MS patients compared to HC. SMSW showed high recognition quality and retest-reliability (covariance 0.13 m/sec, ICC 0.965, p < 0.001). There was a significant correlation between SMSW average walking speed and T25FW (Pearson's R = -0.447, p = 0.042).
conclusionOur data suggest that ambulation tests using Microsoft Kinect™ are feasible, well tolerated and can detect clinical gait disturbances in patients with MS. The retest-reliability was on par with the T25FW.
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