In order to detect hearing loss more efficiently and accurately, this study proposed a new method based on fractional Fourier transform (FRFT). Three-dimensional volumetric magnetic resonance images were obtained from 15 patients with left-sided hearing loss (LHL), 20 healthy controls (HC), and 14 patients with right-sided hearing loss (RHL). Twenty-five FRFT spectrums were reduced by principal component analysis with thresholds of 90%, 95%, and 98%, respectively. The classifier is the single-hidden-layer feed-forward neural network (SFN) trained by the Levenberg–Marquardt algorithm. The results showed that the accuracies of all three classes are higher than 95%. In all, our method is promising and may raise interest from other researchers.
['Shuihua Wang', 'Ming Yang', 'Yin Zhang', 'Jianwu Li', 'Ling Zou', 'Siyuan Lu', 'Bin Liu', 'Jiquan Yang', 'Yudong Zhang']
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform