Diagnosing Sinusitis using Fractional B-Spline Wavelet With Near Infrared Spectroscopy

S. Kamatchi¹ and M. Sundararajan²

¹Sathyabama University, Jeppiar Nagar, Shollinganallur, Chennai, India.

²Bharath University, Agaram Road, Selaiyur Chennai, India.

Corresponding Author E-mail: Kamatchime@gmail.com

Abstract: This paper presents an efficient multiresolution, signal analysis wavelet technique to diagnose sinusitis. We describe the properties, construction and Applications of Fractional B-Spline Wavelet Transform (FrSWT) with a strong mathematical background from the B-spline family.Diagnosis of sinusitis is a quite critical issue at the clinical level as the disease shares its symptoms with several other diseases also. An early screening algorithm is required to validate the diagnosis. We compared FrSWT output for spatially varying inhomogeneous turbid medium with previously obtained Empirical Wavelet Transform output, thereby differentiating healthy and sinusitis patient in an effective manner. FrSWT algorithm validates the output to diagnose sinusitis using wavelet technique.

Keywords: Multiresolution; Wavelet; Sinusitis; Fractional B-spline Wavelet Transform (FrSWT); B-Spline; Empirical Wavelet Transform (EWT)

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