The interest in pathological voice analysis for specific neurological diseases is growing up aiming to offer more Health-care tele monitoring services since new high performing electronic devices are available for the end-user. In this article we show some parameters that can be digitally extracted and analyzed from pathological voices, in order to find a distinctive sign of the Parkinson disease. As a result, we will show a parameter that gives some information about the Parkinson disease characterization, particularly for male patients. We will also discuss about the needed computational cost related to parameters extraction and elaboration, aiming to target a possible tough yet portable hardware architecture capable to carry out the whole calculation or at least part of them locally.

Lo Bue, F., Galioto, N., Giaconia, C. (2015). Pathological voice analysis via digital signal processing. In De Gloria A. (a cura di), Lecture Notes in Electrical Engineering - Volume 351 (pp. 185-193). Springer Verlag [10.1007/978-3-319-20227-3_24].

Pathological voice analysis via digital signal processing

LO BUE, Francesco;GALIOTO, Natale;GIACONIA, Giuseppe Costantino
2015-01-01

Abstract

The interest in pathological voice analysis for specific neurological diseases is growing up aiming to offer more Health-care tele monitoring services since new high performing electronic devices are available for the end-user. In this article we show some parameters that can be digitally extracted and analyzed from pathological voices, in order to find a distinctive sign of the Parkinson disease. As a result, we will show a parameter that gives some information about the Parkinson disease characterization, particularly for male patients. We will also discuss about the needed computational cost related to parameters extraction and elaboration, aiming to target a possible tough yet portable hardware architecture capable to carry out the whole calculation or at least part of them locally.
2015
Lo Bue, F., Galioto, N., Giaconia, C. (2015). Pathological voice analysis via digital signal processing. In De Gloria A. (a cura di), Lecture Notes in Electrical Engineering - Volume 351 (pp. 185-193). Springer Verlag [10.1007/978-3-319-20227-3_24].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/223250
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