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A deep learning approach for classification and diagnosis of Parkinson’s disease
Deep learning grabs a center attraction in industries, deep learning techniques are having great potential and recently these potentials are applied...
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Video-based analysis of the blink reflex in Parkinson’s disease patients
We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s disease (iPD) as well...
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Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson’s disease
Freezing-of-gait (FOG) and impaired walking are common features of Parkinson’s disease (PD). Provision of external stimuli (cueing) can improve gait,...
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A Robust Machine Learning Approach Towards Detection of Parkinson’s Disease
Parkinson’s disease is nowadays a very common brain ailment found in many individuals across the globe. The task of predicting or detecting...
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An Amalgamated and Personalized System for the Prognosis and Detecting the Presence of Parkinson’s Disease at Its Early Onset
Parkinson’s disease is a nervous system disease that progresses over time and causes the patient’s movement skills to deteriorate. The deficiency of...
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Parkinson’s disease detection using modified ResNeXt deep learning model from brain MRI images
Parkinson’s disease is one of the most common degenerative conditions that affect people aged 60 and older. The illness is normally diagnosed by...
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Automated Parkinson’s Disease Diagnosis System Using Transfer Learning Techniques
Parkinson's disease is a neurodegenerative disorder that develops in an individual when the required amount of dopamine is not produced by respective...
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Feature Extraction Using Autoencoders: A Case Study with Parkinson’s Disease
Parkinson’s disease is a common progressive neurodegenerative disorder. PD is also considered to be slow progress, so the detection of its early...
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Fourier Model-Based Analysis of LP Residual for Diagnosing Parkinson’s Disease Using Speech
In this investigation, two new features, residual harmonic amplitude (RHA) and residual harmonic frequency (RHF) are proposed using Fourier...
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Strategy for develo** a speech recognition model specialized for patients with depression or Parkinson’s disease with small size speech database
Most of speech recognition models currently in use have been dealt with speech of normal people. The speech recognition rate for patients with...
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A Duplex Method for Classification of Parkinson’s Disease Using Data Reduction Techniques
Diagnosis of the progressive neurological disorder, i.e., Parkinson’s disease through different machine learning techniques provides better insights...
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A Hybrid Approach for Classifying Parkinson’s Disease from Brain MRI
Parkinson’s disease (PD) is an incurable, neurodegenerative disease, and its early diagnosis can be done with the aid of modality magnetic resonance...
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Detection of Parkinson’s Disease Using Multimodal Dataset
Parkinson’s disease (PD) is a neurological condition that causes tremors, stiffness, and difficulty walking, balancing, and coordinating. There is no...
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Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
PurposeParkinson’s disease (PD) is one of the most prevalent neurodegenerative diseases in the global context. The presently available detecting...
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A Convolutional Neural Network Based Classification Method for Mild to Moderate Parkinson’s Disease at Turns
As the second most common neurodegenerative disease, more than 10 million people live with Parkinson’s disease (PD) and suffer with non-motor and...
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Analyzing Gene-Coexpression Patterns for Parkinson’s Disease Using Module Preservation Statistics
Parkinson’s Disease (PD) is a progressive, neurodegenerative disorder of the central nervous system (CNS). This condition has some recognizable...
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Epidemiology of Parkinson’s Disease—Current Understanding of Causation and Risk Factors
Parkinson’s disease is a global concern which appears to increase with advancing age. The disease is 1.5–2 times more common in males than females...
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ESDC-LSH: Ensemble Support-Vector Deep Convolutional Based Levy Selfish Herd Optimization for Prediction and Classification of Parkinson’s Disease
Parkinson’s disease (PD) is a neurodegenerative disorder caused by a deficiency of dopamine in the brain, which is responsible for motor movements....
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Voice-Based Classification of Parkinson’s Disease Using Machine Learning: An Extensive Study
Parkinson’s Disease (PD) is a condition observed with neural loss, primarily distinguished by its impact on motor function. In our research, the...