A Deep Convolutional Autoencoder-Based Approach for Parkinson’s Disease Diagnosis Through Speech Signals-Reference-Cited by-同舟云学术

A Deep Convolutional Autoencoder-Based Approach for Parkinson’s Disease Diagnosis Through Speech Signals

Published:2022 Issue: Volume: Page:15-26
ISSN:0302-9743
Container-title:Advanced Data Mining and Applications
language:
Short-container-title:

Author:

Khaskhoussy Rania,Ben Ayed Yassine

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22064-7_2

Reference24 articles.

1. Pagonabarraga, J.: Apathy in Parkinson’s disease: clinical features, neural substrates, diagnosis, and treatment. Lancet Neurol. 14(5), 518–531 (2015)

2. Christopher, G.G.: The history of Parkinson’s disease: early clinical descriptions and neurological therapies. Cold Spring Harb. Perspect. Med. 1(1), a008862 (2011)

3. Khaskhoussy, R.: An I-vector-based approach for discriminating between patients with Parkinson’s disease and healthy people. In: Fourteenth International Conference on Machine Vision, pp. 69–77 (2022)

4. Dorsey, E.R.: Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 68(5), 384–386 (2007)

5. Khaskhoussy, R.: Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach. Soc. Netw. Anal. Min. 12(1), 1–12 (2022)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Early Diagnosis Of Parkinson’s Disease Through Speech Signals’ Analysis Based on Advanced Deep Learning Techniques;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

2. Identifying Parkinson’s Disease in it’s Primitive Phase using Vocal Characteristics;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. Improving Parkinson’s disease recognition through voice analysis using deep learning;Pattern Recognition Letters;2023-04