Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
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 …
Handwriting biometrics: Applications and future trends in e-security and e-health
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …
being the most popular but not the only one. Handwriting analysis also has an important set …
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease
The etiology of Parkinson's disease (PD) remains unclear. Symptoms usually appear after
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
RETRACTED ARTICLE: Refining Parkinson's neurological disorder identification through deep transfer learning
A Naseer, M Rani, S Naz, MI Razzak, M Imran… - Neural Computing and …, 2020 - Springer
Abstract Parkinson's disease (PD), a multi-system neurodegenerative disorder which affects
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …
Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs
Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective
Neurodegenerative diseases, for instance Alzheimer's disease (AD) and Parkinson's
disease (PD), affect the peripheral nervous system, where nerve cells send messages that …
disease (PD), affect the peripheral nervous system, where nerve cells send messages that …
Deep-learning detection of mild cognitive impairment from sleep electroencephalography for patients with Parkinson's disease
Parkinson's disease which is the second most prevalent neurodegenerative disorder in the
United States is a serious and complex disease that may progress to mild cognitive …
United States is a serious and complex disease that may progress to mild cognitive …
Reliable Parkinson's disease detection by analyzing handwritten drawings: construction of an unbiased cascaded learning system based on feature selection and …
Parkinson's disease (PD) is the second most common neurodegenerative disease of central
nervous system (CNS). Till now, there is no definitive clinical examination that can diagnose …
nervous system (CNS). Till now, there is no definitive clinical examination that can diagnose …
[BOK][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …