[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor
Background: Freezing of gait (FOG) is one of the most disabling symptoms of Parkinson's
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …
A deep local-temporal architecture with attention for lightweight human activity recognition
Abstract Human Activity Recognition (HAR) is an essential area of pervasive computing
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
Improvement of Performance in Freezing of Gait detection in Parkinson's Disease using Transformer networks and a single waist-worn triaxial accelerometer
Freezing of gait (FOG) is one of the most incapacitating symptoms in Parkinson's disease,
affecting more than 50% of patients in advanced stages of the disease. The presence of …
affecting more than 50% of patients in advanced stages of the disease. The presence of …
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning
Y **a, H Sun, B Zhang, Y Xu, Q Ye - Biomedical Signal Processing and …, 2024 - Elsevier
Freezing of gait (FoG) is a kind of serious motor symptom happened to most patients with
Parkinson's disease (PD). Predicting the onset of FoG is of great value since it can enable …
Parkinson's disease (PD). Predicting the onset of FoG is of great value since it can enable …
A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
A Salomon, E Gazit, P Ginis, B Urazalinov… - Nature …, 2024 - nature.com
Freezing of gait (FOG) is a debilitating problem that markedly impairs the mobility and
independence of 38-65% of people with Parkinson's disease. During a FOG episode …
independence of 38-65% of people with Parkinson's disease. During a FOG episode …
Context recognition algorithms for energy-efficient freezing-of-gait detection in Parkinson's disease
Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson's disease (PD)
characterized by the inability to move the feet forward despite the intention to walk. It is one …
characterized by the inability to move the feet forward despite the intention to walk. It is one …
The evolution of frailty assessment using inertial measurement sensor‐based gait parameter measurements: A detailed analysis
Frailty is a significant issue in geriatric health, may cause adverse effects such as falls,
delirium, weight loss, or physical decline. Over time, various methods have been developed …
delirium, weight loss, or physical decline. Over time, various methods have been developed …
[HTML][HTML] Deep learning algorithms for detecting freezing of gait in Parkinson's disease: A cross-dataset study
Freezing of gait is a complex and disabling symptom of Parkinson's disease, which has a
significant impact on the patients' quality of life and increases the risk of falls and related …
significant impact on the patients' quality of life and increases the risk of falls and related …