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[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 …
[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …
powered nanotechnology-based wearable smart systems, human motion intention …
Multi-modal deep learning diagnosis of Parkinson's disease—a systematic review
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
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 …
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
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 …
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 …
Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson's disease: A systematic review
T Huang, M Li, J Huang - Frontiers in aging neuroscience, 2023 - frontiersin.org
Background The occurrence of freezing of gait (FOG) is often observed in moderate to last-
stage Parkinson's disease (PD), leading to a high risk of falls. The emergence of the …
stage Parkinson's disease (PD), leading to a high risk of falls. The emergence of the …
Recent trends and practices toward assessment and rehabilitation of neurodegenerative disorders: Insights from human gait
The study of human movement and biomechanics forms an integral part of various clinical
assessments and provides valuable information toward diagnosing neurodegenerative …
assessments and provides valuable information toward diagnosing neurodegenerative …
[HTML][HTML] Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach
Background: Over one billion people worldwide suffer from neurological conditions that
cause mobility impairments, often persisting despite rehabilitation. Chronic neurological …
cause mobility impairments, often persisting despite rehabilitation. Chronic neurological …