ReviewJournal of healthcare engineering2021
A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment.
Review in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Effects of tai chi on postural balance and quality of life among the elderly with gait disorders: A systematic review.PloS one · 2023Pooled it
- From RGB-D to RGB-Only: Reliability and Clinical Relevance of Markerless Skeletal Tracking for Postural Assessment in Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- A Longitudinal Study of Physical Function Factors Related to Lower Limb Circumduction During Gait in Acute Stroke Patients with Hemiparesis.Sensors (Basel, Switzerland) · 2025Article
- Ataxia.Movement disorders clinical practice · 2025Article
- Camptocormia in Parkinson's disease: state of the art and future directions.Journal of neurology · 2025Review
- Operatic Singing Biomechanics: Skeletal Tracking Sensor Integration for Pedagogical Innovation.Sensors (Basel, Switzerland) · 2025Article
- Objective gait analysis using Kinect v2® for the prognosis of walking during the acute phase of rehabilitation after proximal femoral fracture surgery.Frontiers in rehabilitation sciences · 2025Article
- Back morphology and walking patterns mean 13.8 years after surgery for lumbar disk herniation in adolescents.Pain reports · 2024Article
- Assessment of Axial Postural Abnormalities in Parkinsonism: Automatic Picture Analysis Software.Movement disorders clinical practice · 2023Article
- Improved spatial-temporal graph convolutional networks for upper limb rehabilitation assessment based on precise posture measurement.Frontiers in neuroscience · 2023Article
- Functional improvement of patients with Parkinson syndromes using a rehabilitation training software.Frontiers in neurology · 2023Article
- The Validity and Reliability of a New Intelligent Three-Dimensional Gait Analysis System in Healthy Subjects and Patients with Post-Stroke.Sensors (Basel, Switzerland) · 2022Article
- Muva physical activity intervention to improve social functioning in people with a severe mental illness: study protocol of a pragmatic stepped wedge cluster randomized trial.BMC psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gait and posture studies have gained much prominence among researchers and have attracted the interest of clinicians. The ability to detect gait abnormality and posture disorder plays a crucial role in the diagnosis and treatment of some diseases. Microsoft Kinect is presented as a noninvasive sensor essential for medical diagnostic and therapeutic purposes. There are currently no relevant studies that attempt to summarise the existing literature on gait and posture abnormalities using Kinect technology. The purpose of this study is to critically evaluate the existing research on gait and posture abnormalities using the Kinect sensor as the main diagnostic tool. Our studies search identified 458 for gait abnormality, 283 for posture disorder of which 26 studies were included for gait abnormality, and 13 for posture. The results indicate that Kinect sensor is a useful tool for the assessment of kinematic features. In conclusion, Microsoft Kinect sensor is presented as a useful tool for gait abnormality, postural disorder analysis, and physiotherapy. It can also help track the progress of patients who are undergoing rehabilitation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.