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This paper focuses on gait abnormality type identification-specifically, recognizing antalgic gait. Through experimentation, we demonstrate that detecting an individual's gait type is a viable biometric that can be used along with other common biometrics for applications such as forensics. To classify gait, the gait data is represented by coordinates that reflect the body joint coordinates obtained using a Microsoft Kinect v2 system. Features such as cadence, stride length, and other various joint angles are extracted from the input data. Using approaches such as the dynamic Bayesian network, the obtained features are used to model as well as perform gait type classification. The proposed approach is compared with other classification techniques and experimental results reveal that it is capable of obtaining a 88.68% recognition rate. The results illustrate the potential of using a dynamic Bayesian network for gait abnormality classification.
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http://dx.doi.org/10.3390/s18103329 | DOI Listing |
Phys Ther
March 2025
Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, 141 83 Stockholm, Sweden.
Objective: Walking capacity progressively declines in people with Parkinson disease (PD), and assessment of walking is imperative for monitoring disease progression and evaluating intervention efficacy. The main aim of this study was to explore whether the 2-minute walk test (2MWT) could be substituted for the 6-minute walk test (6MWT) as a measure of walking capacity in people with PD. We also sought to investigate construct and known-groups validity of the 2MWT.
View Article and Find Full Text PDFJ Arthroplasty
March 2025
Adult Reconstruction and Joint Replacement Service, Hospital for Special Surgery, New York, NY, USA; Canary Medical USA LLC, 2710 Loker Ave, West, Suite 350, Carlsbad, CA, USA. Electronic address:
Background: Bilateral knee osteoarthritis is often treated with staged bilateral total knee arthroplasty (BTKA). However, the optimal surgical timing for staging remains contended. In this study, a smart implant sensor was used to assess the association between surgical timing of stages and recovery of ambulation after the second total knee arthroplasty (TKA).
View Article and Find Full Text PDFMotor Control
March 2025
Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Background: Individuals with Parkinson's disease (PD) with freezing of gait (FoG) exhibit difficulty with changes in sensory input, indicating a potential sensorimotor integration deficit. Understanding how levodopa impacts balance particularly in FoG, is critical. As traditional postural sway measures may not fully capture the complexity of balance control, rambling and trembling decomposition of the center of pressure allows a more detailed assessment of postural control by distinguishing between supraspinal and spinal contributions, offering insights into sensorimotor integration deficits.
View Article and Find Full Text PDFParkinsonism Relat Disord
March 2025
Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund, Sweden; SciLifeLab National Research Infrastructure, Sweden.
Dystonia is a movement disorder characterized by genetic and clinical heterogeneity. A recurring p.(Glu303del)-deletion in TOR1A is a well-established cause for DYT-TOR1A (DYT1), an autosomal dominant early-onset isolated dystonia.
View Article and Find Full Text PDFMult Scler Relat Disord
March 2025
Department of Physiotherapy, School of Health Sciences, University of Thessaly, 3rd km Old National Road Lamia, Lamia, 35100 Athens, Greece. Electronic address:
Background: It is a fact that Multiple Sclerosis is a neurodegenerative disease with severe symptoms that make everyday life of patients difficult as it progresses. There are several types of treatments aimed at limiting and delaying the onset of its symptoms. Hippotherapy being an innovative method of intervention, supported by several studies on its positive effects on various neurological disorders, is now under the microscope with the aim of testing its impact on the clinical picture and the functioning of people suffering from Multiple Sclerosis.
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