SAMI Home People Journal Club Links Available positions Research Publications Projects Software Databases Teaching Courses Databases Early biomarkers of Parkinson’s disease based on natural connected speech The aim is to predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease. The dataset include 30 patients with early untreated Parkinson’s disease (PD), 50 patients with REM sleep behaviour disorder (RBD), which are at high risk developing Parkinson’s disease or other synucleinopathies; and 50 healthy controls (HC). All patients were scored clinically by a well-trained professional neurologist with experience in movement disorders. All subjects were examined during a single session with a speech specialist. All subjects performed reading of standardized, phonetically-balanced text of 80 words and monologue about their interests, job, family or current activities for approximately 90 seconds. Speech features were automatically analysed using developed algorithm. [Excel] More details can be found if following paper, please include the citation if you use it in your work: J. Hlavnička, R. Čmejla, T. Tykalová, K. Šonka, E. Růžička, and J. Rusz. (2017). "Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder, Scientific Reports, 7: 12. Hypernasality detection This study investigates acoustic and perceptual correlates of velopharyngeal seal closure in 37 patients with Parkinson's disease, 37 patients with Huntington's disease and 37 healthy control speakers. Database consists of 111 samples related to (a) three acoustic features based on 1/3-octave spectra method, (b) perceptual analysis based on 10 raters, and (c) clinical data of participants. [Excel] More details can be found if following paper, please include the citation if you use it in your work: M. Novotny, J. Rusz, R. Cmejla, H. Ruzickova, J. Klempír, E. Ruzicka. (2016). "Hypernasality associated with basal ganglia dysfunction: evidence from Parkinson’s disease and Huntington’s disease, PeerJ, 4: 2530. Contact: Czech Technical University in Prague, Faculty of Electrical Engineering Department of Circuit Theory Technicka 2, 166 27 Prague 6, Czech Republic Phone: +420 2435 2236, e-mail: cmejla at fel.cvut.cz