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 …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
Contrastive self-supervised learning for sensor-based human activity recognition
B Khaertdinov, E Ghaleb… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Deep Learning models, applied to a sensor-based Human Activity Recognition task, usually
require vast amounts of annotated time-series data to extract robust features. However …
require vast amounts of annotated time-series data to extract robust features. However …
Avoiding misdiagnosis of Parkinson's disease with the use of wearable sensors and artificial intelligence
A Talitckii, E Kovalenko, A Anikina… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neurodegenerative disease associated with the
extrapyramidal motor system disorder currently being the second most common …
extrapyramidal motor system disorder currently being the second most common …
Towards real-time prediction of freezing of gait in patients with Parkinson's disease: a novel deep one-class classifier
Freezing of gait (FoG) is a common motor dysfunction in individuals with Parkinson's
disease. FoG impairs walking and is associated with increased fall risk. On-demand external …
disease. FoG impairs walking and is associated with increased fall risk. On-demand external …
Convolutional neural network for freezing of gait detection leveraging the continuous wavelet transform on lower extremities wearable sensors data
Freezing of Gait is the most disabling gait disturbance in Parkinson's disease. For the past
decade, there has been a growing interest in applying machine learning and deep learning …
decade, there has been a growing interest in applying machine learning and deep learning …
5G-FOG: Freezing of gait identification in multi-class softmax neural network exploiting 5G spectrum
Freezing of gait (FOG) is one of the most incapacitating and disconcerting symptom in
Parkinson's disease (PD). FOG is the result of neural control disorder and motor …
Parkinson's disease (PD). FOG is the result of neural control disorder and motor …
FoG Recognition Based on Time-frequency Analysis and Convolutional Neural Network Combined with Attention Mechanism
Freezing of gait is one of the most common movement disorders in Parkinson's disease. In
this paper, with the use of attention mechanism, a neural network detection method is …
this paper, with the use of attention mechanism, a neural network detection method is …