Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings

By Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Eren Sertbas, Fikret S. Gürgen, Ş. Delil, Hulya Apaydin, Olcay Kursun. IEEE journal of biomedical and health informatics, 2013

630 citations recorded by the source corpus.

Subfields: Neurology, Physiology, Speech and Hearing

View Paper: https://www.semanticscholar.org/paper/ac3d90558a94014f6797218ee373bc8bfd42acd0

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1. Christian Desrosiers
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4. Charu C. Aggarwal

Citations in the corpus

• Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature (2021, background): “…(Yang et al., 2009; Wahid et al., 2015; Pham and Yan, 2018), neuroimaging (Cherubini et al., 2014a; Choi et al., 2017; Segovia et al., 2019), voice (Sakar et al., 2013; Ma et al., 2014), cerebrospinal fluid (CSF) (Lewitt et al., 2013; Maass et al., 2020), cardiac scintigraphy (Nuvoli et al., 2019),…”