Automated Cerebral Emboli Detection Using Adaptive Threshold and Adaptive Neuro-Fuzzy Inference System

Automated Cerebral Emboli Detection Using Adaptive Threshold and Adaptive Neuro-Fuzzy Inference System

This work proposes an automated algorithm based on adaptive threshold and adaptive neuro-fuzzy inference system (ANFIS) to couple with transcranial Doppler ultrasound in detecting cerebral embolic signal (ES). Our main objective is to support practical stroke risk monitoring in interventional proced...

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Bibliographic Details
Main Authors: Praotasna Sombune, Phongphan Phienphanich, Sutanya Phuechpanpaisal, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Philip De Chazal, Charturong Tantibundhit
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Adaptive threshold
adaptive neuro-fuzzy inference system
adaptive wavelet packet transform
embolic signal
ischemic stroke
microemboli
Online Access:https://ieeexplore.ieee.org/document/8468977/

Internet

https://ieeexplore.ieee.org/document/8468977/

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