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 …
Stretchable and self-healable catechol-chitosan-diatom hydrogel for triboelectric generator and self-powered tremor sensor targeting at Parkinson disease
With increasing interest in human health, stretchable and wearable sensors have attracted a
lot of attention for real-time health monitoring. However, most wearable sensors require …
lot of attention for real-time health monitoring. However, most wearable sensors require …
Advances in biosignal sensing and signal processing methods with wearable devices
Wearable devices have received significant attention recently for their ability to monitor
critical physiological signals noninvasively, such as electrocardiography …
critical physiological signals noninvasively, such as electrocardiography …
DIAROP: automated deep learning-based diagnostic tool for retinopathy of prematurity
O Attallah - Diagnostics, 2021 - mdpi.com
Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness.
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
A BCI system based on motor imagery for assisting people with motor deficiencies in the limbs
Motor deficiencies constitute a significant problem affecting millions of people worldwide.
Such people suffer from a debility in daily functioning, which may lead to decreased and …
Such people suffer from a debility in daily functioning, which may lead to decreased and …
MB-AI-His: histopathological diagnosis of pediatric medulloblastoma and its subtypes via AI
O Attallah - Diagnostics, 2021 - mdpi.com
Medulloblastoma (MB) is a dangerous malignant pediatric brain tumor that could lead to
death. It is considered the most common pediatric cancerous brain tumor. Precise and timely …
death. It is considered the most common pediatric cancerous brain tumor. Precise and timely …
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images
Breast cancer (BC) is one of the most common types of cancer that affects females
worldwide. It may lead to irreversible complications and even death due to late diagnosis …
worldwide. It may lead to irreversible complications and even death due to late diagnosis …
Wearable sensors during drawing tasks to measure the severity of essential tremor
Commonly used methods to assess the severity of essential tremor (ET) are based on
clinical observation and lack objectivity. This study proposes the use of wearable …
clinical observation and lack objectivity. This study proposes the use of wearable …
A supervised machine learning approach to detect the on/off state in Parkinson's disease using wearable based gait signals
Fluctuations in motor symptoms are mostly observed in Parkinson's disease (PD) patients.
This characteristic is inevitable, and can affect the quality of life of the patients. However, it is …
This characteristic is inevitable, and can affect the quality of life of the patients. However, it is …
A deep learning wearable-based solution for continuous at-home monitoring of upper limb goal-directed movements
Introduction Monitoring upper limb function is crucial for tracking progress, assessing
treatment effectiveness, and identifying potential problems or complications. Hand goal …
treatment effectiveness, and identifying potential problems or complications. Hand goal …