Assessment of Dual-Tree Complex Wavelet Transform to Improve SNR in Collaboration with Neuro-Fuzzy System for Heart-Sound Identification

Assessment of Dual-Tree Complex Wavelet Transform to Improve SNR in Collaboration with Neuro-Fuzzy System for Heart-Sound Identification

The research paper proposes a novel denoising method to improve the outcome of heart-sound (HS)-based heart-condition identification by applying the dual-tree complex wavelet transform (DTCWT) together with the adaptive neuro-fuzzy inference System (ANFIS) classifier. The method consists of three st...

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Bibliographic Details
Main Authors: Bassam Al-Naami, Hossam Fraihat, Jamal Al-Nabulsi, Nasr Y. Gharaibeh, Paolo Visconti, Abdel-Razzak Al-Hinnawi
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Electronics
Subjects:
heart-sound classification
dual-tree complex wavelet transform
adaptive neuro-fuzzy inference system
signal denoising
Online Access:https://www.mdpi.com/2079-9292/11/6/938

Internet

https://www.mdpi.com/2079-9292/11/6/938

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