Classification of neurodegenerative diseases using gait dynamics via deterministic learning

W Zeng, C Wang - Information Sciences, 2015 - Elsevier
Neurodegenerative diseases (NDDs), such as Parkinson's disease (PD), Huntington's
disease (HD) and amyotrophic lateral sclerosis (ALS), create serious gait abnormalities …

Classification of gait rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different …

Y **a, Q Gao, Q Ye - Biomedical Signal Processing and Control, 2015 - Elsevier
For the purpose of realizing an intelligent and highly accurate diagnosis system for neuro-
degenerative diseases (NDD), such as amyotrophic lateral sclerosis (ALS), Parkinson's …

Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro‐Fuzzy Inference System

Q Ye, Y **a, Z Yao - Computational and mathematical methods …, 2018 - Wiley Online Library
A common feature that is typical of the patients with neurodegenerative (ND) disease is the
impairment of motor function, which can interrupt the pathway from cerebrum to the muscle …

Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters

Y Wu, P Chen, X Luo, M Wu, L Liao, S Yang… - … Signal Processing and …, 2017 - Elsevier
Gait rhythm disturbances due to abnormal strides indicate the degenerative mobility
regulation of motor neurons affected by Parkinson's disease (PD). The aim of this work is to …

Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network

N Sadeghzadehyazdi, T Batabyal, ST Acton - Expert Systems with …, 2021 - Elsevier
In this work, we propose an end-to-end deep learning model that uses the skeleton data
recorded by Kinect to capture spatiotemporal patterns for gait anomaly recognition. Via …

Wavelet-based characterization of gait signal for neurological abnormalities

E Baratin, L Sugavaneswaran, K Umapathy, C Ioana… - Gait & posture, 2015 - Elsevier
Studies conducted by the World Health Organization (WHO) indicate that over one billion
suffer from neurological disorders worldwide, and lack of efficient diagnosis procedures …

The impact of feature extraction for the classification of amyotrophic lateral sclerosis among neurodegenerative diseases and healthy subjects

S Bilgin - Biomedical Signal Processing and Control, 2017 - Elsevier
Neurodegenerative diseases (NDD) including Amyotrophic Lateral Sclerosis (ALS),
Parkinson's disease (PD) and Huntington disease (HD) can be defined as the degeneration …

Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease

S Yang, F Zheng, X Luo, S Cai, Y Wu, K Liu, M Wu… - PloS one, 2014 - journals.plos.org
Detection of dysphonia is useful for monitoring the progression of phonatory impairment for
patients with Parkinson's disease (PD), and also helps assess the disease severity. This …

Classification of neurodegenerative diseases via topological motion analysis—A comparison study for multiple gait fluctuations

Y Yan, OM Omisore, YC Xue, HH Li, QH Liu… - Ieee …, 2020 - ieeexplore.ieee.org
Neurodegenerative diseases are common progressive nervous system disorders that show
intricate clinical patterns. The gait fluctuations reflect the physiology and pathologic …

Can proprioceptive training reduce muscle fatigue in patients with motor neuron diseases? A new direction of treatment

AA Mohamed - Frontiers in Physiology, 2019 - frontiersin.org
Muscle fatigue is a serious problem in patients with motor neuron diseases (MNDs). It
commonly disturbs both daily life activity and rehabilitation tolerance. A particular concern …