Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
[HTML][HTML] 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 …
Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks
While convolutional neural networks (CNNs) have been successfully applied to many
challenging classification applications, they typically require large datasets for training …
challenging classification applications, they typically require large datasets for training …
Wearable electrochemical microneedle sensor for continuous monitoring of levodopa: toward Parkinson management
Levodopa is the most effective medication for treating Parkinson's disease (PD). However,
because dose optimization is currently based on patients' report of symptoms, which are …
because dose optimization is currently based on patients' report of symptoms, which are …
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease
R Powers, M Etezadi-Amoli, EM Arnold… - Science translational …, 2021 - science.org
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
Wearable sensors for human activity monitoring: A review
SC Mukhopadhyay - IEEE sensors journal, 2014 - ieeexplore.ieee.org
An increase in world population along with a significant aging portion is forcing rapid rises in
healthcare costs. The healthcare system is going through a transformation in which …
healthcare costs. The healthcare system is going through a transformation in which …
Technology in Parkinson's disease: challenges and opportunities
The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
[HTML][HTML] How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …
characterized by both motor and non-motor symptoms and affects millions of people …
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 …
Increasing trend of wearables and multimodal interface for human activity monitoring: A review
Activity recognition technology is one of the most important technologies for life-logging and
for the care of elderly persons. Elderly people prefer to live in their own houses, within their …
for the care of elderly persons. Elderly people prefer to live in their own houses, within their …