AIMC Topic: Parkinson Disease
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Swing limb detection using a convolutional neural network and a sequential hypothesis test based on foot pressure data during gait initialization in individuals with Parkinson's disease.
Physiological measurement
Dec 16, 2024
. Start hesitation is a key issue for individuals with Parkinson's disease (PD) during gait initiation. Visual cues have proven effective in enhancing gait initiation. When applied to laser-light shoes, swing-limb detection efficiently activates the ...
Effectiveness of robot-assisted training in adults with Parkinson's disease: a systematic review and meta-analysis.
Journal of neurology
Dec 12, 2024
AIM: This work aimed to update and summarize the existing evidence on the effectiveness of robot-assisted training (RAT) in adults with Parkinson's disease (PD).
MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers.
Computers in biology and medicine
Dec 10, 2024
BACKGROUND: Quantitative magnetic resonance imaging (MRI) analysis has shown promise in differentiating neurodegenerative Parkinsonian syndromes and has significantly advanced our understanding of diseases like progressive supranuclear palsy (PSP) in...
Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study.
Computers in biology and medicine
Dec 4, 2024
INTRODUCTION: In Parkinson's Disease (PD), despite available treatments focusing on symptom alleviation, the effectiveness of conventional therapies decreases over time. This study aims to enhance the identification of candidates for device-aided the...
Transformer-based transfer learning on self-reported voice recordings for Parkinson's disease diagnosis.
Scientific reports
Dec 3, 2024
Deep learning (DL) techniques are becoming more popular for diagnosing Parkinson's disease (PD) because they offer non-invasive and easily accessible tools. By using advanced data analysis, these methods improve early detection and diagnosis, which i...
Predicting executive functioning from walking features in Parkinson's disease using machine learning.
Scientific reports
Nov 27, 2024
Parkinson's disease is characterized by motor and cognitive deficits. While previous work suggests a relationship between both, direct empirical evidence is scarce or inconclusive. Therefore, we examined the relationship between walking features and ...
Learning Motion Primitives for the Quantification and Diagnosis of Mobility Deficits.
IEEE transactions on bio-medical engineering
Nov 21, 2024
The severity of mobility deficits is one of the most critical parameters in the diagnosis of Parkinson's disease (PD) and rehabilitation. The current approach for severity evaluation is clinical scaling that relies on a clinician's subjective observa...
Parkinson's disease prediction using improved crayfish optimization based hybrid deep learning.
Technology and health care : official journal of the European Society for Engineering and Medicine
Nov 20, 2024
BackgroundPredicting the course of Parkinson's disease is essential for prompt diagnosis and treatment, which may enhance patient outcomes.ObjectiveThis study presents a novel method for Parkinson's disease prediction using freely accessible resource...
A Parkinson's disease-related nuclei segmentation network based on CNN-Transformer interleaved encoder with feature fusion.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Nov 19, 2024
Automatic segmentation of Parkinson's disease (PD) related deep gray matter (DGM) nuclei based on brain magnetic resonance imaging (MRI) is significant in assisting the diagnosis of PD. However, due to the degenerative-induced changes in appearance, ...
Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases.
Scientific reports
Nov 18, 2024
Machine learning has gained attention in the medical field. Continuous efforts are being made to develop robust models for early prognosis purposes. The brain is the most pivotal organ in the human body. A brain stroke is generally caused by a blocka...
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