On the Use of Voice Signals for Studying Sclerosis Disease
AbstractMultiple sclerosis (MS) is a chronic demyelinating autoimmune disease affecting the central nervous system. One of its manifestations concerns impaired speech, also known as dysarthria. In many cases, a proper speech evaluation can play an important role in the diagnosis of MS. The identification of abnormal voice patterns can provide valid support for a physician in the diagnosing and monitoring of this neurological disease. In this paper, we present a method for vocal signal analysis in patients affected by MS. The goal is to identify the dysarthria in MS patients to perform an early diagnosis of the disease and to monitor its progress. The proposed method provides the acquisition and analysis of vocal signals, aiming to perform feature extraction and to identify relevant patterns useful to impaired speech associated with MS. This method integrates two well-known methodologies, acoustic analysis and vowel metric methodology, to better define pathological compared to healthy voices. As a result, this method provides patterns that could be useful indicators for physicians in identifying patients affected by MS. Moreover, the proposed procedure could be a valid support in early diagnosis as well as in monitoring treatment success, thus improving a patient’s life quality. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Vizza, P.; Tradigo, G.; Mirarchi, D.; Bossio, R.B.; Veltri, P. On the Use of Voice Signals for Studying Sclerosis Disease. Computers 2017, 6, 30.
Vizza P, Tradigo G, Mirarchi D, Bossio RB, Veltri P. On the Use of Voice Signals for Studying Sclerosis Disease. Computers. 2017; 6(4):30.Chicago/Turabian Style
Vizza, Patrizia; Tradigo, Giuseppe; Mirarchi, Domenico; Bossio, Roberto B.; Veltri, Pierangelo. 2017. "On the Use of Voice Signals for Studying Sclerosis Disease." Computers 6, no. 4: 30.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.