The novelty of the study is the use of a data mining approach on the spatial and temporal parameters of gait analysis in order to classify patients affected by ...
The novelty of the study is the use of a data mining approach on the spatial and temporal parameters of gait analysis in order to classify patients affected ...
Conclusion: The novelty of the study is the use of a data mining approach on the spatial and temporal parameters of gait analysis in order to classify patients ...
People also ask
What is the characteristic gait of Parkinsonism patients?
What are the gait characteristics and falls in Parkinson's disease a systematic review and meta analysis?
What is the gait pattern of supranuclear palsy?
This paper shows how a technique called Synthetic Minority Oversampling Technique (SMOTE) deals with the class imbalance problem in PD stage-wise classification ...
Feb 10, 2023 · Using a data mining approach based on gait patterns, it was possible to classify patients affected by PD and atypical Parkinsonism with an ...
Jun 10, 2021 · Gait analysis is a tridimensional, computerized, and non-invasive investigation of walking and has been used in Parkinson's disease (PD) with ...
This review presents the evidence that demonstrates the relationship between human gait and PD, and illustrates the role of different gait analysis systems.
Using gait analysis' parameters to classify Parkinsonism: A data mining approach. Computer Methods and Programs in Biomedicine. 2019;180:105033. Available ...
Apr 29, 2021 · The present study demonstrates that quantitative gait evaluation clearly distinguishes PSP patients from PD patients since the earliest stages of disease.
The multiple regression normalization approach will assist in diagnosis and treatment of Parkinson's disease using spatial-temporal gait data.