A systematic review of wearable sensors for monitoring physical activity

A Kristoffersson, M Lindén - Sensors, 2022 - mdpi.com
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 …

Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, NH Khan, I Razzak, M Imran - Neural Computing and …, 2023 - Springer
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

[图书][B] Computer Vision and Recognition Systems: Research Innovations and Trends

CL Chowdhary, GT Reddy, BD Parameshachari - 2022 - api.taylorfrancis.com
This cutting-edge volume, Computer Vision and Recognition Systems: Research
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

T Tuncer, S Dogan, UR Acharya - Biocybernetics and Biomedical …, 2020 - Elsevier
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 …

A fast and efficient image watermarking scheme based on deep neural network

S Mellimi, V Rajput, IA Ansari, CW Ahn - Pattern Recognition Letters, 2021 - Elsevier
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 …

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 …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
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

R Lamba, T Gulati, A Jain - Arabian Journal for Science and Engineering, 2022 - Springer
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 …

A literature review of online handwriting analysis to detect Parkinson's disease at an early stage

I Aouraghe, G Khaissidi, M Mrabti - Multimedia Tools and Applications, 2023 - Springer
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 …

Automated systems for diagnosis of dysgraphia in children: A survey and novel framework

J Kunhoth, S Al-Maadeed, S Kunhoth, Y Akbari… - International Journal on …, 2024 - Springer
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 …