Fusing handcrafted and deep features for multi-class cardiac diagnostic decision support model based on heart sound signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04528-6.pdf
Reference43 articles.
1. Abduh Z, Nehary EA, Wahed MA, Kadah YM (2020) Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers. Biomed Signal Process Control 57:101788. https://doi.org/10.1016/j.bspc.2019.101788
2. Alaskar H, Alzhrani N, Hussain A, Almarshed F (2019) The implementation of pretrained AlexNet on PCG classification. International conference on intelligent computing. Springer, Cham, pp 784–794. https://doi.org/10.1007/978-3-030-26766-7_71
3. Bozkurt B, Germanakis I, Stylianou Y (2018) A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection. Comput Biol Med 100:132–143. https://doi.org/10.1016/j.compbiomed.2018.06.026
4. Bulo SR, Porzi L, Kontschieder P (2018) In-place activated batchnorm for memory-optimized training of dnns. In: Proceedings of the IEEE conference on computer vision and pattern recognition pp. 5639–5647.
5. de Melo VV, Banzhaf W (2018) Drone squadron optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Comput Appl 30(10):3117–3144. https://doi.org/10.1007/s00521-017-2881-3
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals;Biomedical Signal Processing and Control;2025-01
2. Benchmarking Time-Frequency Representations of Phonocardiogram Signals for Classification of Valvular Heart Diseases Using Deep Features and Machine Learning;Electronics;2024-07-24
3. An automated diagnosis model for classifying cardiac abnormality utilizing deep neural networks;Multimedia Tools and Applications;2023-10-03
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