Background And Purpose: Gait coordination often is compromised after stroke. The purpose of this study was to evaluate the efficacy of acoustically paced treadmill walking as a method for improving gait coordination in people after stroke.
Participants: Ten people after stroke volunteered for the study and comprised the experimental group. Nine elderly people who were healthy served as a control group.
Methods: Gait cycle parameters, interlimb coordination, and auditory-motor coordination were examined while participants walked on a treadmill with and without acoustic pacing.
Results: Stride frequency was adjusted to different acoustic pacing frequencies in all participants. In people after stroke, gait symmetry improved with acoustic pacing. They predominantly coordinated movements of the nonparetic limb to ipsilateral tones.
Discussion And Conclusion: The results suggest that acoustically paced treadmill walking provides an effective means for immediately modifying stride frequency and improving gait coordination in people after stroke and, therefore, may be usefully applied in physical therapist practice. Future research directions for developing guidelines for using acoustically paced treadmill walking in physical therapist practice are discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2522/ptj.20050394 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A scoping review of the motor impairments in autism spectrum disorder.
Neurosci Biobehav Rev
January 2025
Laboratory of Cognitive Neurophysiology (LabNeuro), Institute of Biological Sciences, Department of Biophysics and Physiology, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil; Post-Graduation Program in Rehabilitation Sciences and Physical-Functional Performance, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil. Electronic address:
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder mainly defined by impairments in communication and socialization. Although motor symptoms are not typically considered central to the disease, their high frequency and early onset have been recurrently reported in the literature. Therefore, this scoping review provides a broad description of these motor impairments across all ages, as well as a discussion of their relevance and relation to other clinical aspects of ASD.
View Article and Find Full Text PDFTwo-dimensional identification of lower limb gait features based on the variational modal decomposition of sEMG signal and convolutional neural network.
Gait Posture
December 2024
Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies, Hebei University of Technology, Tianjin 300401, PR China; Hebei Key Laboratory of Robot Sensing and Human-robot Interaction, Hebei University of Technology, Tianjin 300401, PR China; School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, PR China. Electronic address:
Background: Gait feature recognition is crucial to improve the efficiency and coordination of exoskeleton assistance. The recognition methods based on surface electromyographic (sEMG) signals are popular. However, the recognition accuracy of these methods is poor due to ignoring the correlation of the time series of sEMG signals.
View Article and Find Full Text PDFThe Association Between Lower Limb Joint Position Sense and Different Aspects of Gait Pattern in Individuals With Bilateral Knee Osteoarthritis.
J Appl Biomech
January 2025
Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Knee osteoarthritis (KOA) can have more pronounced effects on joint position sense (JPS) accuracy and gait characteristics. The aim of this study is to investigate the association between lower limb JPS and different aspects of gait pattern including gait asymmetry and variability and spatiotemporal coordination in individuals with bilateral KOA. In this cross-sectional study, lower limb JPS of 43 individuals with bilateral KOA (mild and moderate) were measured.
View Article and Find Full Text PDFSpeed-dependent changes in the arm swing during independent walking in individuals after stroke.
PLoS One
January 2025
Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
Background: Increasing one's walking speed is an important goal in post-stroke gait rehabilitation. Insufficient arm swing in people post-stroke might limit their ability to propel the body forward and increase walking speed.
Purpose: To investigate the speed-dependent changes (and their contributing factors) in the arm swing of persons post-stroke.
Parkinson's disease screening using a fusion of gait point cloud and silhouette features.
PLoS One
January 2025
Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Article Synopsis
- Parkinson's Disease (PD) is a progressive neurodegenerative disorder characterized by slow movement, and while there is no cure, early detection can improve outcomes.
- Vision-based methods for PD detection focus on analyzing gait, utilizing both appearance-based and model-based approaches.
- A new method that combines these two approaches has shown promising results, achieving an AUC of 0.87 and F1-Scores of 0.82 in distinguishing between normal and Parkinsonian gait.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!