Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

By Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Jennifer L. Spielman, Lorraine O. Ramig. IEEE Transactions on Biomedical Engineering, 2012

684 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Physiology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/7fc960bb5616e71bfcfba59c39a443f291d20178

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexander Sorin
2. Ron Hoory
3. Ahmet Eren Sertbas
4. Ş. Delil
5. M. Erdem Isenkul
6. Cemal Okan Sakar
7. Aharon Satt
8. Fikret S. Gürgen

In Signal Processing

1. Alexander Sorin
2. Ron Hoory
3. Aharon Satt

Citations in the corpus

• Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings (2013, background): “Another study that makes a selection of dysphonia measure subsets used support vector machines (SVM) to distinguish 263 samples belonging to 43 subjects [14].”
• Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease (2015, methodology): “Speech analyses have already been used in patients with dementia [8–10] and those with Parkinson’s disease [11] to find potential vocal markers.”