Title :
Early detection of Parkinson´s disease through Voice
Author :
Vikas ; Sharma, R.K.
Author_Institution :
Sch. of VLSI Design & Embedded Syst., Nat. Inst. of Technol., Kurukshetra, India
Abstract :
This paper present different methods of diagnosis of Parkinson´s disease through voice in early stages. The aim of this study is to provide a simple, fast, cheaper method of detection of Parkinson´s disease for the patients as there is no cure for this disease and the available therapies which provide some relief to them are too much costlier for this disease. Voice has different parameters that tell meaningful variations between normal people and Parkinson´s patient like pitch, jitter, formant, shimmer, Mel-frequency Cepstral Coefficient (MFCC) and glottal pulse were founded out and analyzed.
Keywords :
cepstral analysis; diseases; medical signal detection; medical signal processing; patient diagnosis; speech; Mel-frequency cepstral coefficient; Parkinson disease diagnosis; formant; glottal pulse; jitter; pitch; shimmer; voice; Databases; Jitter; Mel frequency cepstral coefficient; Parkinson´s disease; Speech; Speech recognition; Vibrations; MFCC; Parkinson´s disease; diagnosis of disease; formant; glottal pulse; jitter; pitch; shimmer;
Conference_Titel :
Advances in Engineering and Technology (ICAET), 2014 International Conference on
DOI :
10.1109/ICAET.2014.7105237
