Artificial Intelligence-Based Phonocardiogram: Classification Using Cepstral Features

Author:

Saritha Haridas A.,Nair Arun T.,Haritha K. S.,Namboothiri Kesavan

Publisher

Springer Nature Singapore

Reference16 articles.

1. Moody B, Li-wei H, Johnson I (2016) Classification of normal/abnormal heart sound recordings: the PhysioNet/computing in cardiology challenge 2016. In: International conference on computing in cardiology (CinC), Vancouver, BC, Canada

2. Luisada A, Haring OM, Aravanis C (1958) Murmurs in children: a clinical and graphic study in 500 children of school age. Brit Heart J 48:597–615

3. Joo TH, James H, Lees RS (1983) Pole-zero modeling and classification of phonocardiograms. IEEE Trans Biomed Eng BME-30:110–118

4. Lukkarinen S, Noponen AL, Skio K (1997) A new phonocardiographic recording system. J Comput Cardiol 24:117–120

5. Emmanuel BS (2012) A review of signal processing techniques for heart sound analysis in clinical diagnosis. J Med Eng Technol 36:303–307

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3