Phonocardiogram (PCG) Signals Based Classification of Heart Abnormalities-Reference-Cited by-同舟云学术

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Phonocardiogram (PCG) Signals Based Classification of Heart Abnormalities

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)
language:
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Author:

Vijean Vikneswaran¹,Lee Thong Zhi²,Fook Chong Yen¹,Vikneswaran M.²,Narasamuloo Kantha Rao³,Majid M S Abdul⁴,Palaniappan Rajkumar⁵,Abdelaziz Khaled Mohamed Helmy⁶

Affiliation:

1. Sports Engineering Research Center Universiti Malaysia Perlis,BioSIM Research Group,Pauh,Perlis,Malaysia

2. Universiti Malaysia Perlis,Faculty of Electronic Engineering Technology,Pauh,Perlis,Malaysia

3. Hospital Sultanah Bahiyah,Cardiology Department,Alor Setar,Kedah,Malaysia

4. Universiti Malaysia Perlis,Faculty of Mechanical Engineering Technology,Pauh,Perlis,Malaysia

5. University of Technology Bahrain,Department of Mechatronics Engineering,Salmabad,Kingdom of Bahrain

6. Science and Technology,Asian Institute of Medicine,Department of Medicine,Sungai Petani,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10064684/10064724/10064861.pdf?arnumber=10064861

Reference20 articles.

1. t-Test and ANOVA for data with ceiling and/or floor effects

2. Non Linear Features Analysis between Imaginary and Non-imaginary Tasks for Human EEG-based Biometric Identification

3. Support Vector Machine — Introduction to Machine Learning Algorithms;gandhi,2018

4. IMPROVED SPEAKER-INDEPENDENT EMOTION RECOGNITION FROM SPEECH USING TWO-STAGE FEATURE REDUCTION

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