Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network
Deep learning has a huge potential in healthcare for uncovering the hidden patterns from
large volume of clinical data to diagnose different diseases. This paper presents a novel …
large volume of clinical data to diagnose different diseases. This paper presents a novel …
[HTML][HTML] Exercise and gait/movement analyses in treatment and diagnosis of Parkinson's Disease
Cardinal motor symptoms in Parkinson's disease (PD) include bradykinesia, rest tremor
and/or rigidity. This symptomatology can additionally encompass abnormal gait, balance …
and/or rigidity. This symptomatology can additionally encompass abnormal gait, balance …
Parkinson's disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B Vidya, P Sasikumar - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Parkinson's disease (PD) diagnosis is a complex and challenging task which needs the
assessment of various motor and non-motor symptoms. As gait impairment is one of the …
assessment of various motor and non-motor symptoms. As gait impairment is one of the …
Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation
Parkinson's disease (PD) is a chronic neurodegenerative disease of that predominantly
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
The role of neural network for the detection of Parkinson's disease: a scoping review
MS Alzubaidi, U Shah, H Dhia Zubaydi, K Dolaat… - Healthcare, 2021 - mdpi.com
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
A deep learning approach for parkinson's disease severity assessment
T Aşuroğlu, H Oğul - Health and Technology, 2022 - Springer
Abstract Purpose Parkinson's Disease comes on top among neurodegenerative diseases
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …
Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data
The reliable and explainable diagnosis of severity level for Parkinson's disease (PD) is
significant for the therapy. Nonetheless, there are little data for severe PD patients but …
significant for the therapy. Nonetheless, there are little data for severe PD patients but …
Emerging portable technologies for gait analysis in neurological disorders
C Salchow-Hömmen, M Skrobot… - Frontiers in Human …, 2022 - frontiersin.org
The understanding of locomotion in neurological disorders requires technologies for
quantitative gait analysis. Numerous modalities are available today to objectively capture …
quantitative gait analysis. Numerous modalities are available today to objectively capture …