A systematic review of wearable sensors for monitoring physical activity
This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …
for different purposes, including assessment of gait and balance, prevention and/or …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
[LIBRO][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 …
Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
A fast and efficient image watermarking scheme based on deep neural network
In this work, a robust image watermarking method is proposed based on the LWT (lifting
wavelet transform) and DNN (Deep Neural Network). Watermark embedding uses wavelet …
wavelet transform) and DNN (Deep Neural Network). Watermark embedding uses wavelet …
Dynamic handwriting analysis for neurodegenerative disease assessment: a literary review
G Vessio - Applied Sciences, 2019 - mdpi.com
Studying the effects of neurodegeneration on handwriting has emerged as an
interdisciplinary research topic and has attracted considerable interest from psychologists to …
interdisciplinary research topic and has attracted considerable interest from psychologists to …
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
A hybrid feature selection approach for parkinson's detection based on mutual information gain and recursive feature elimination
Parkinson's disease, which affects the neurological system of patients, is the second most
common neurodegenerative ailment after Alzheimer's disease. Parkinson's disease is most …
common neurodegenerative ailment after Alzheimer's disease. Parkinson's disease is most …
A literature review of online handwriting analysis to detect Parkinson's disease at an early stage
Parkinson's disease (PD) affects millions of people worldwide, it dramatically affects the
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …
Automated systems for diagnosis of dysgraphia in children: A survey and novel framework
Learning disabilities, which primarily interfere with basic learning skills such as reading,
writing, and math, are known to affect around 10% of children in the world. The poor motor …
writing, and math, are known to affect around 10% of children in the world. The poor motor …