A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson's disease prediction using freezing of gait: a biometric application

Z Habib, MA Mughal, MA Khan, A Hamza… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease (PD) disorder is caused by the imbalance of inhibitory dopamine and
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …

Wireless Sensors with Edge Deep Learning for Detecting and Alerting the Freezing of Gait Symptoms in Parkinson's Patients*

O Lin, T Yu, Y Hou, Y Zhu, X Liu - 2023 11th International IEEE …, 2023 - ieeexplore.ieee.org
This paper presents the design of a wireless sensor network for detecting and alerting the
freezing of gait (FoG) symptoms in patients with Parkinson's disease. A novel button pin type …

Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model

D Huang, C Wu, Y Wang, Z Zhang, C Chen, L Li… - … Signal Processing and …, 2024 - Elsevier
Freezing of gait (FoG) is a common gait disorder in patients with the Parkinson's disease
(PD), resulting in mobility limitation, risk of falls and decrease of daily life quality. Wearable …

Subject-independent freezing of gait (fog) prediction in parkinson's disease patients

T Basaklar, Y Tuncel, UY Ogras - 2021 IEEE Biomedical …, 2021 - ieeexplore.ieee.org
Freezing of gait (FoG), which implies a brief absence or reduction of ability to walk, is one of
the most common symptoms of Parkinson's Disease (PD). Predicting FoG episodes in time …

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 …

Prediction of freezing of gait based on self-supervised pretraining via contrastive learning

Y Xia, 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 …

Prediction of Parkinson's disease severity based on gait signals using a neural network and the fast Fourier transform

JD Suquilanda-Pesántez, MC Zambonino-Soria… - … Congress on Science …, 2020 - Springer
Parkinson's disease (PD) is a chronic and progressive movement disorder affecting the
nervous system of patients. PD alters the capacity to sustain a steady rhythm in the gait …

Long short term memory based patient-dependent model for FOG detection in Parkinson's disease

AS Ashour, A El-Attar, N Dey, H Abd El-Kader… - Pattern recognition …, 2020 - Elsevier
Deep learning has a great impact on healthcare for discovering hidden patterns in the
clinical data to detect or predict the different diseases. This work proposed a monitoring …

A vision-based framework for predicting multiple sclerosis and Parkinson's disease gait dysfunctions—A deep learning approach

R Kaur, RW Motl, R Sowers… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
This study examined the effectiveness of av ision-based framework for m ultiple s clerosis
(MS) and Parkinson's disease (PD) gait dysfunction prediction. We collected gait video data …

Predicting freezing of gait in Parkinsons disease patients using machine learning

NK Orphanidou, A Hussain, R Keight… - 2018 IEEE Congress …, 2018 - ieeexplore.ieee.org
Freezing of gait (FoG) is one of the most alarming motor symptoms of Parkinson's disease,
most commonly experienced by subjects who have suffered from the disease for a long …