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 …
Detection and prediction of freezing of gait with wearable sensors in Parkinson's disease
W Zhang, H Sun, D Huang, Z Zhang, J Li, C Wu… - Neurological …, 2024 - Springer
Freezing of gait (FoG) is one of the most distressing symptoms of Parkinson's Disease (PD),
commonly occurring in patients at middle and late stages of the disease. Automatic and …
commonly occurring in patients at middle and late stages of the disease. Automatic and …
Measuring freezing of gait during daily-life: an open-source, wearable sensors approach
Background Although a growing number of studies focus on the measurement and detection
of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure …
of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure …
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data
Parkinson's disease (PD) is a critical neurological ailment that affects millions of individuals
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
Prediction and detection of freezing of gait in Parkinson's disease from plantar pressure data using long short-term memory neural-networks
Background Freezing of gait (FOG) is a walking disturbance in advanced stage Parkinson's
disease (PD) that has been associated with increased fall risk and decreased quality of life …
disease (PD) that has been associated with increased fall risk and decreased quality of life …
[HTML][HTML] WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
This study investigates the feasibility of utilizing non-invasive WiFi sensing using the 4.8
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface-and age-related differences in walking
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial
accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could …
accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could …
Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset
Neurodegenerative disorders, such as Alzheimer's and Parkinson's, constitute a major factor
in long-term disability and are becoming more and more a serious concern in developed …
in long-term disability and are becoming more and more a serious concern in developed …
The classification of minor gait alterations using wearable sensors and deep learning
Objective: This paper describes how non-invasive wearable sensors can be used in
combination with deep learning to classify artificially induced gait alterations without the …
combination with deep learning to classify artificially induced gait alterations without the …
Early detection of Parkinson disease using deep neural networks on gait dynamics
Parkinson's disease is a degenerative movement disorder causing considerable disability.
However, the early detection of this syndrome and of its progression rates may be decisive …
However, the early detection of this syndrome and of its progression rates may be decisive …