Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson's Disease Diagnosis Using EEG and MRI Data

M Alrawis, S Al-Ahmadi, F Mohammad - Applied Sciences, 2024 - mdpi.com
Parkinson's disease (PD) is a slowly progressing neurological disorder with symptoms that
overlap with those of other conditions, making early detection and accurate diagnosis vital …

Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory

F Markovic, L Jovanovic, P Spalevic, J Kaljevic… - Neural Processing …, 2025 - Springer
Neurodegenerative conditions are defined by the progressive deterioration and death of
nerve cells in the core neural system. Most neurodegenerative conditions are not curable …

Enhanced Parkinson's Detection Through Multisyllabic Vowel and Spontaneous Dialogue Analysis Using Graph Convolutional Networks

M Thimmapuram, AR Akepogu - … International Conference on …, 2024 - ieeexplore.ieee.org
Long-term, progressive, and degenerative, Parkinson's disease (PD) disturbs the brain and
spinal cord. Typically, the symptoms gradually manifest, beginning with motor system …

A Transformer Based Emotion Recognition Model for Social Robots Using Topographical Maps Generated from EEG Signals

G Bethany, M Gupta - International Conference on Human-Computer …, 2024 - Springer
Emotions are an integral part of living beings which influence their thoughts, actions, and
interactions with other beings. Understanding human emotions is very important in …

[PDF][PDF] FMDB Transactions on Sustainable Computer Letters

G Sivapriya, BV Ganesh, UG Pradeeshwar… - 2023 - researchgate.net
Crime is a dangerous and global social issue. Crimes influence a nation's economy,
reputation, and quality of life. Innovative technology and novel approaches to crime analytics …

[PDF][PDF] Open Hole-Wireline Logging to Determine the Characteristics of the Reservoir

M Usama, M Rifan, A Nagarajan, K Bogeswaran - 2023 - researchgate.net
Openhole well logging encompasses a diverse range of measurements, including as
measurement-while-drilling (MWD) logs, standard wireline logs, and mud logs. These …

Prognosticating Parkinson's: Harnessing Wearable Sensors and Attention Mechanism for Enhanced Motor Symptom Prediction

A Rasool - 2024 - repositories.nust.edu.pk
Parkinson's disease (PD) is a progressive neurological disorder that results in loss of
dopaminergic neurons in brain and has a profound effect in patients, particularly because of …

Transformative Insights: Anticipating Parkinson's Motor Fluctuations with Wearable Sensors and Advanced Deep Learning Models

R Taj - 2024 - repositories.nust.edu.pk
Parkinson's disease is a typical and very invalidating neurogenerative disorder
characterized by specific motor symptoms: bradykinesia, tremor, and dyskinesias. All of …

[PDF][PDF] FMDB Transactions on Sustainable Health Science Letters

A Tak, SA Shuvo, A Maddouri - 2023 - researchgate.net
The advent of pervasive technologies has revolutionized modern healthcare, offering
unprecedented opportunities for enhancing patient care and streamlining healthcare …

[PDF][PDF] FMDB Transactions on Sustainable Health Science Letters

RCA Komperla - 2023 - researchgate.net
In the rapidly evolving healthcare landscape, this research delves into the profound
transformation facilitated by connected healthcare solutions in patient care. The …