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 …
Gait impairments in Parkinson's disease
Gait impairments are among the most common and disabling symptoms of Parkinson's
disease. Nonetheless, gait is not routinely assessed quantitatively but is described in …
disease. Nonetheless, gait is not routinely assessed quantitatively but is described in …
Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …
and physiological systems of the brain. This disease is also known as tremor. The common …
Gait analysis in Parkinson's disease: An overview of the most accurate markers for diagnosis and symptoms monitoring
L Di Biase, A Di Santo, ML Caminiti, A De Liso… - Sensors, 2020 - mdpi.com
The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …
features and the associated algorithms that have shown promise to aid diagnosis and …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
IMU-based classification of Parkinson's disease from gait: A sensitivity analysis on sensor location and feature selection
Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial
applications from navigation systems to guidance and robotics. Their use in clinical practice …
applications from navigation systems to guidance and robotics. Their use in clinical practice …
Selecting clinically relevant gait characteristics for classification of early Parkinson's disease: a comprehensive machine learning approach
Parkinson's disease (PD) is the second most common neurodegenerative disease; gait
impairments are typical and are associated with increased fall risk and poor quality of life …
impairments are typical and are associated with increased fall risk and poor quality of life …
The motor prodromes of parkinson's disease: from bedside observation to large-scale application
C Simonet, A Schrag, AJ Lees, AJ Noyce - Journal of Neurology, 2021 - Springer
There is sufficient evidence that the pathological process that causes Parkinson's disease
begins years before the clinical diagnosis is made. Over the last 15 years, there has been …
begins years before the clinical diagnosis is made. Over the last 15 years, there has been …
Comparison of walking protocols and gait assessment systems for machine learning-based classification of parkinson's disease
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning
(ML) models to gait characteristics may support the classification process. Comparing …
(ML) models to gait characteristics may support the classification process. Comparing …
[HTML][HTML] Neurophysiology of cerebellar ataxias and gait disorders
There are numerous forms of cerebellar disorders from sporadic to genetic diseases. The
aim of this chapter is to provide an overview of the advances and emerging techniques …
aim of this chapter is to provide an overview of the advances and emerging techniques …