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Down syndrome Disorder Diagnosis in Children Using Analysis of Voice in Signal Processing

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  • Dickson, Makasda Solomon

    (Department of Computer Science, Ignatuius Ajuru University of Education, Port Harcourt, Nigeria)

  • Kabari, Ledisi G

    (Department of Computer Science, Ignatuius Ajuru University of Education, Port Harcourt, Nigeria)

Abstract

Down syndrome is one of the most leading causes of intellectual disability and millions of these patients face various health issues including learning and memory, congenital heart diseases (CHD), Alzheimer’s diseases (AD), leukemia, cancers and Hirschprung disease (HD). The incidence of trisomy is influenced by maternal age and differs in population (between 1 in 319 and 1 in 1000 live births) [1]. DS has high genetic complexity and phenotype variability. Trisomic fetuses are at elevated risk of miscarriages and DS people have increased incidence of developing several medical conditions [2,3]. Recent advancement in medical treatment with social support has increased the life expectancy for DS population. In developed countries, the average life span for DS population is 55 years [4].

Suggested Citation

  • Dickson, Makasda Solomon & Kabari, Ledisi G, 2021. "Down syndrome Disorder Diagnosis in Children Using Analysis of Voice in Signal Processing," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 6(8), pages 23-27, August.
    • Handle: RePEc:bjf:journl:v:6:y:2021:i:8:p:23-27
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