Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
Role of wearable sensors with machine learning approaches in gait analysis for Parkinson's disease assessment: a review
Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …
in diagnosing movement disorders. Various factors contribute to the alterations in gait …
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network
Deep learning has a huge potential in healthcare for uncovering the hidden patterns from
large volume of clinical data to diagnose different diseases. This paper presents a novel …
large volume of clinical data to diagnose different diseases. This paper presents a novel …
Supervised machine learning based gait classification system for early detection and stage classification of Parkinson's disease
While diagnosing Parkinson's disease (PD), neurologists often use several clinical
manifestations of the subject and rate the severity level based on the Unified Parkinson …
manifestations of the subject and rate the severity level based on the Unified Parkinson …
A novel ensemble of random forest for assisting diagnosis of Parkinson's disease on small handwritten dynamics dataset
S Xu, Z Pan - International Journal of Medical Informatics, 2020 - Elsevier
Background Parkinson's disease (PD) is a neurodegenerative disease of the elderly, which
leads to patients' motor and non-motor disabilities and affects patients' quality of daily life …
leads to patients' motor and non-motor disabilities and affects patients' quality of daily life …
A deep learning approach for parkinson's disease severity assessment
Abstract Purpose Parkinson's Disease comes on top among neurodegenerative diseases
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …
Data-driven gait analysis for diagnosis and severity rating of Parkinson's disease
Parkinsons disease (PD) is the second most neurodegenerative disease, which results in
gradual loss of movements. To diagnose PD in a clinical setting, clinicians generally use …
gradual loss of movements. To diagnose PD in a clinical setting, clinicians generally use …
A dual-modal attention-enhanced deep learning network for quantification of Parkinson's disease characteristics
Y **a, ZM Yao, Q Ye, N Cheng - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
It is well known that most patients with Parkinson's disease (PD) have different degree of
movement disorders, such as shuffling, festination and akinetic episodes, which could …
movement disorders, such as shuffling, festination and akinetic episodes, which could …
Parkinson's disease diagnosis and severity assessment using ground reaction forces and neural networks
Gait analysis plays a key role in the diagnosis of Parkinson's Disease (PD), as patients
generally exhibit abnormal gait patterns compared to healthy controls. Current diagnosis …
generally exhibit abnormal gait patterns compared to healthy controls. Current diagnosis …
Multi-scale sparse graph convolutional network for the assessment of Parkinsonian gait
Automated assessment of patients with Parkinson's disease (PD) is urgently required in
clinical practice to improve the diagnostic efficiency and objectivity and to remotely monitor …
clinical practice to improve the diagnostic efficiency and objectivity and to remotely monitor …