Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
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 …
A systematic survey of research trends in technology usage for Parkinson's disease
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified due to its …
and non-motor symptoms. The complexity of PD pathology is amplified due to its …
[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 …
Predicting freezing of gait in patients with Parkinson's disease by combination of Manually-Selected and deep learning features
H Sun, Q Ye, Y Xia - Biomedical Signal Processing and Control, 2024 - Elsevier
Freezing of gait (FoG) is a serious gait disorder commonly seen in patients with advanced
Parkinson's disease (PD). It is of great interest to pre-judge the occurrence of FoG before its …
Parkinson's disease (PD). It is of great interest to pre-judge the occurrence of FoG before its …
Insights into Parkinson's Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis
H Elbatanouny, N Kleanthous, H Dahrouj, S Alusi… - Sensors, 2024 - mdpi.com
Parkinson's Disease (PD) is a complex neurodegenerative disorder characterized by a
spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait …
spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait …
A patient invariant model towards the prediction of freezing of gait
Freezing of Gait (FoG) is one of the incapacitating motor symptoms that appear in patients
with Parkinson's Disease (PD). FoG manifests gait impairments and imposes unforeseen …
with Parkinson's Disease (PD). FoG manifests gait impairments and imposes unforeseen …
A survey of embedded machine learning for smart and sustainable healthcare applications
Recent advances in machine learning algorithms (ML) and low-power edge devices enable
novel wearable applications. Embedded machine learning organically combines these …
novel wearable applications. Embedded machine learning organically combines these …
Prediction of Freezing of Gait in Parkinson's Disease Using Time-Series Data from Wearable Sensors
S Ouyang, Z Chen, S Chen… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
Freezing of gait is a common symptom in patients with Parkinson's disease, which is mainly
manifested by sudden interruption of walking, so that patients cannot walk forward …
manifested by sudden interruption of walking, so that patients cannot walk forward …
Time Orient Acceleration Gait Pattern Based FOG Prediction on Parkinson Patients Using Deep Learning and Wearable Sensors
E Jegadeesan… - Journal of Advanced …, 2024 - semarakilmu.com.my
The problem of predicting Freeze of Gait (FoG) on Parkinson diseased patients has been
well studied. There exists number of approaches in predicting FoG, which uses sensory …
well studied. There exists number of approaches in predicting FoG, which uses sensory …
[PDF][PDF] On-demand gait-phase synchronous electrical cueing to reduce freezing of gait in Parkinson's disease
A Dvorani - depositonce.tu-berlin.de
Parkinson's disease (PD) is a neurodegenerative disorder, ranked as the second most
prevalent neurological disorder, that significantly impacts the lives of millions of people …
prevalent neurological disorder, that significantly impacts the lives of millions of people …