Diagnosis of Parkinson's disease from continuous speech using deep convolutional networks without manual selection of features

Keyphrases

• Parkinson's Disease 100%
• Signal Processing 100%
• Continuous Speech 100%
• Feature Selection 100%
• Manual Selection 100%
• Deep Convolutional Network 100%
• Adaptation 50%
• Central Nervous System 50%
• Diagnostic Process 50%
• Disease Progression 50%
• Common Symptoms 50%
• Motor System 50%
• Automatic Processes 50%
• Disabling Conditions 50%
• Disease Stage 50%
• Speech Signal 50%
• Convolutional Neural Network Architecture 50%
• Formants 50%
• One-dimensional Signal 50%
• Neurodegenerative 50%
• Limited Training Data 50%
• Tremor 50%
• Native Speech 50%
• Vocal Cords 50%
• Auditory Feature Extraction 50%

Neuroscience

• Diagnosis of Parkinson's Disease 100%
• Signal Processing 100%
• Neural Network 50%
• Parkinson's Disease 50%
• Central Nervous System 50%
• Automatic Process 50%
• Tremor 50%