AIMC Topic: Parkinson Disease
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Automatic Detection and Assessment of Freezing of Gait Manifestations.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 31, 2024
Freezing of gait (FOG) is an episodic and highly disabling symptom of Parkinson's disease (PD). Although described as a single phenomenon, FOG is heterogeneous and can express as different manifestations, such as trembling in place or complete akines...
Using Video Technology and AI within Parkinson's Disease Free-Living Fall Risk Assessment.
Sensors (Basel, Switzerland)
Jul 29, 2024
Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-world fall risk beyond the clinic is challenging. Contemporary technologies could enable the capture of objective and high-resolution data to better i...
Spiking Laguerre Volterra networks-predicting neuronal activity from local field potentials.
Journal of neural engineering
Jul 29, 2024
Understanding the generative mechanism between local field potentials (LFP) and neuronal spiking activity is a crucial step for understanding information processing in the brain. Up to now, most approaches have relied on simply quantifying the coupli...
Parkinson's image detection and classification based on deep learning.
BMC medical imaging
Jul 25, 2024
OBJECTIVE: There are two major issues in the MRI image diagnosis task for Parkinson's disease. Firstly, there are slight differences in MRI images between healthy individuals and Parkinson's patients, and the medical field has not yet established pre...
Accelerating multipool CEST MRI of Parkinson's disease using deep learning-based Z-spectral compressed sensing.
Magnetic resonance in medicine
Jul 24, 2024
PURPOSE: To develop a deep learning-based approach to reduce the scan time of multipool CEST MRI for Parkinson's disease (PD) while maintaining sufficient prediction accuracy.
Machine learning for predicting cognitive decline within five years in Parkinson's disease: Comparing cognitive assessment scales with DAT SPECT and clinical biomarkers.
PloS one
Jul 17, 2024
OBJECTIVE: Parkinson's disease (PD) is an age-related neurodegenerative condition characterized mostly by motor symptoms. Although a wide range of non-motor symptoms (NMS) are frequently experienced by PD patients. One of the important and common NMS...
Optimized efficient attention-based network for facial expressions analysis in neurological health care.
Computers in biology and medicine
Jul 11, 2024
Facial Expression Analysis (FEA) plays a vital role in diagnosing and treating early-stage neurological disorders (NDs) like Alzheimer's and Parkinson's. Manual FEA is hindered by expertise, time, and training requirements, while automatic methods co...
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Artificial intelligence in medicine
Jul 6, 2024
Freezing of Gait (FOG) is a noticeable symptom of Parkinson's disease, like being stuck in place and increasing the risk of falls. The wearable multi-channel sensor system is an efficient method to predict and monitor the FOG, thus warning the wearer...
Artificial intelligence in Parkinson's disease: Early detection and diagnostic advancements.
Ageing research reviews
Jul 5, 2024
Parkinson's disease (PD) is the second most common neurodegenerative disorder, globally affecting men and women at an exponentially growing rate, with currently no cure. Disease progression starts when dopaminergic neurons begin to die. In PD, the lo...
Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning.
Parkinsonism & related disorders
Jul 4, 2024
BACKGROUND: Prolonged levodopa treatment in Parkinson's disease (PD) often leads to motor complications, including levodopa-induced dyskinesia (LID). Despite continuous levodopa treatment, some patients do not develop LID symptoms, even in later stag...
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