Exploring huntington's disease diagnosis via artificial intelligence models: a comprehensive review

S Ganesh, T Chithambaram, NR Krishnan, DR Vincent… - Diagnostics, 2023 - mdpi.com
Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J **e, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
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

A Mengarelli, A Tigrini, S Fioretti… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
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 …

Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases

FA Torghabeh, EA Moghadam, SA Hosseini - Gait & Posture, 2024 - Elsevier
Abstract Background Neurodegenerative diseases (NDDs) pose significant challenges due
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

QD Trinh, HN Mai, DT Pham - Regenerative Therapy, 2024 - Elsevier
Neurodegenerative diseases are central or peripheral nervous system disorders associated
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

M Saljuqi, P Ghaderyan - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
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 …

Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity

H Zhao, J **e, Y Chen, J Cao, WH Liao… - Cognitive Neurodynamics, 2024 - Springer
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 …

Multiscale SVD entropy for the analysis of gait dynamics

A Marin-Lopez, F Martinez-Martinez… - … Signal Processing and …, 2024 - Elsevier
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 …

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 …

Textural feature of EEG signals as a new biomarker of reward processing in Parkinson's disease detection

Y Ezazi, P Ghaderyan - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
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 …