ArticleSensors (Basel, Switzerland)2019
Gait Analysis for Post-Stroke Hemiparetic Patient by Multi-Features Fusion Method.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Spatial and Temporal Assessment of Cerebral Blood Flow in a Novel Piglet Model of Neonatal Arterial Ischemic Stroke.Translational stroke research · 2025Article
- Establishing reference criteria for diagnosing normal gait patterns similarity using dynamic time warping.Journal of exercise rehabilitation · 2025Article
- Lokomat vs. Conventional Therapy-Impact on Gait Symmetry in Hemiparetic Patients: Preliminary Clinical Study.Healthcare (Basel, Switzerland) · 2025Article
- Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning.Frontiers in neuroinformatics · 2025Article
- Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis.Frontiers in bioengineering and biotechnology · 2025Article
- Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis.Heliyon · 2024Article
- A method for selecting the optimal warping path of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2024Article
- Machine learning-based gait adaptation dysfunction identification using CMill-based gait data.Frontiers in neurorobotics · 2024Article
- Single-Belt Versus Split-Belt: Intelligent Treadmill Control via Microphase Gait Capture for Poststroke Rehabilitation.IEEE transactions on human-machine systems · 2023Article
- Normalization and possibility of classification analysis using the optimal warping paths of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2023Article
- Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies.Frontiers in medical technology · 2022Review
- Gait analysis under the lens of statistical physics.Computational and structural biotechnology journal · 2022Review
- Assessment of Agreement Between a New Application to Compute the Wisconsin Gait Score and 3-Dimensional Gait Analysis, and Reliability of the Application in Stroke Patients.Frontiers in human neuroscience · 2022Article
- Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units.Sensors (Basel, Switzerland) · 2021Article
- Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis.Frontiers in neurology · 2021Article
- Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients.BMC medicine · 2020Article
- Characterization of tissue and functional deficits in a clinically translational pig model of acute ischemic stroke.Brain research · 2020Article
- NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor.Sensors (Basel, Switzerland) · 2019Article
- Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Walking is a basic requirement for participating in daily activities. Neurological diseases such as stroke can significantly affect one's gait and thereby restrict one's activities that are a part of daily living. Previous studies have demonstrated that gait temporal parameters are useful for characterizing post-stroke hemiparetic gait. However, no previous studies have investigated the symmetry, regularity and stability of post-stroke hemiparetic gaits. In this study, the dynamic time warping (DTW) algorithm, sample entropy method and empirical mode decomposition-based stability index were utilized to obtain the three aforementioned types of gait features, respectively. Studies were conducted with 15 healthy control subjects and 15 post-stroke survivors. Experimental results revealed that the proposed features could significantly differentiate hemiparetic patients from healthy control subjects by a Mann-Whitney test (with a p-value of less than 0.05). Finally, four representative classifiers were utilized in order to evaluate the possible capabilities of these features to distinguish patients with hemiparetic gaits from the healthy control subjects. The maximum area under the curve values were shown to be 0.94 by the k-nearest-neighbor (kNN) classifier. These promising results have illustrated that the proposed features have considerable potential to promote the future design of automatic gait analysis systems for clinical practice.
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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.