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Exploring huntington's disease diagnosis via artificial intelligence models: a comprehensive review
Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
Identification of neurodegenerative diseases from gait rhythm through time domain and time-dependent spectral descriptors
The analysis of gait rhythm by pattern recognition can support the state-of-the-art clinical
methods for the identification of neurodegenerative diseases (NDD). In this study, we …
methods for the identification of neurodegenerative diseases (NDD). In this study, we …
Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases
Abstract Background Neurodegenerative diseases (NDDs) pose significant challenges due
to their debilitating nature and limited therapeutic options. Accurate and timely diagnosis is …
to their debilitating nature and limited therapeutic options. Accurate and timely diagnosis is …
[HTML][HTML] Application of mesenchymal stem cells for neurodegenerative diseases therapy discovery
Neurodegenerative diseases are central or peripheral nervous system disorders associated
with progressive brain cell degeneration. Common neurodegenerative diseases such as …
with progressive brain cell degeneration. Common neurodegenerative diseases such as …
Combining homomorphic filtering and recurrent neural network in gait signal analysis for neurodegenerative diseases detection
Automatic, cost-effective, and reliable detection of neurodegenerative diseases (NDs) is one
of the important issues in clinical practice. The main idea of the proposed method in this …
of the important issues in clinical practice. The main idea of the proposed method in this …
Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity
The investigation into the distinctive difference of gait is of significance for the clinical
diagnosis of neurodegenerative diseases. However, human gait is affected by many factors …
diagnosis of neurodegenerative diseases. However, human gait is affected by many factors …
Multiscale SVD entropy for the analysis of gait dynamics
This work explores the use of singular value decomposition (SVD) entropy to characterize
the complexity of stride interval sequences from gait dynamics. The computation of the …
the complexity of stride interval sequences from gait dynamics. The computation of the …
Comprehensive review of literature on Parkinson's disease diagnosis
P Pradeep, J Kamalakannan - Computational Biology and Chemistry, 2024 - Elsevier
PD is one of the neurodegenerative illnesses affects 1–2 individuals per 1000 people over
the age of 60 and has a 1% prevalence rate. It affects both the non-motor and motor aspects …
the age of 60 and has a 1% prevalence rate. It affects both the non-motor and motor aspects …
Textural feature of EEG signals as a new biomarker of reward processing in Parkinson's disease detection
Background Parkinson's disease (PD) detection holds great potential for providing effective
treatments, slowing the disease process, and improving the quality of patient's life, but the …
treatments, slowing the disease process, and improving the quality of patient's life, but the …