eng Oriental Scientific Publishing Company Biomedical and Pharmacology Journal 0974-6242 2017-03-25 10 1 95 103 10.13005/bpj/1086 14095 article S. Kamatchi 1 M. Sundararajan 2 Sathyabama University, Jeppiar Nagar, Shollinganallur, Chennai, India. Bharath University, Agaram Road, Selaiyur Chennai, India. 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. https://biomedpharmajournal.org/vol10no1/diagnosing-sinusitis-using-fractional-b-spline-wavelet-with-near-infrared-spectroscopy/ Multiresolution Wavelet Sinusitis Fractional B-spline Wavelet Transform (FrSWT) B-Spline Empirical Wavelet Transform (EWT)