In this paper, a CNN-based approach for Parkinson's disease diagnosis from a spectrogram of voice recordings while uttering vowels is proposed.
Nov 9, 2021 · We present an ensemble of convolutional neural networks (CNNs) for the detection of PD from the voice recordings of 50 healthy people and 50 people with PD.
In this paper, a CNN-based approach for Parkinson's disease diagnosis from a spectrogram of voice recordings while uttering vowels is proposed.
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings ... Authors: Máté Hireš; Matej Gazda; Peter Drotár; Nemuel Daniel ...
Nov 9, 2021 · This shows that the method has potential for use in clinical practice for the screening, diagnosis and monitoring of PD, with the advantage that ...
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Nov 23, 2023 · Machine learning approaches have been used for the automatic detection of Parkinson's disease with voice recordings being the most used data ...
Oct 11, 2024 · These features serve as inputs for machine learning models, which are trained to classify recordings as either indicative of Parkinson's or not.
May 30, 2023 · Algorithms based on associative memory (AM) have been applied in PD diagnosis using voice samples of patients with this health condition.
Mar 13, 2023 · The proposed model has the capability to extract vital voice features which can help detect Parkinson's disease in its early stages.
This research work aims to predict parkinson disease using the voice features extracted from speech signals recorded from PD individuals with dysphonic speech ...