期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：1-7
出版社：Science and Information Society (SAI)
摘要：Parkinson is considered a disease with a very
random prognosis, in addition to its origin due to a multisystemic
neurodegenerative process that affects the central nervous
system, which is responsible for motor control of the body and
also produces chronic joint pain if the patient is not treated also
suffers states of depression. This disease currently has no cure so
it recommends the patient's family to provide quality of life, the
age of incidence is from 40 years, according to the INCN
(Instituto Nacional de Ciencias Neurológicas) indicates that there
are 3,000 cases of Parkinson in Peru annually. In this research
paper, it proposes the creation of an algorithm in MATLAB
capable of extracting the characteristics of the voice spectrum
through the voice signal processing to provide an early detection
so that they can receive treatment, appease and slow down
Parkinson's disease. This processing will consist of submitting the
audio by the Fast Fourier Transform (FFT), identifying the
signal bodies, separating by frequency periods, to finally find the
average and maximum values. It was identified that in the lower
frequencies are where there are major differences, in addition
the test was done with patients who has Parkinson's suspicions
and the same differences were obtained resulting in the
frequency periods [9Hz – 13Hz], [20Hz –30Hz] and [40Hz –
54Hz]. Also note that the period of 20 Hz to 30 Hz is where if the
values in this frequency are less than 3.5 in amplitude they are
principles of suspicion of Parkinson's disease.
关键词：Voice signal processing; Parkinson Disease (PD);
Fast Fourier Transform; speech signal segmentation; audio
treatmen
