标题
Feature-Based Fusion Using CNN for Lung and Heart Sound Classification
作者
关键词
-
出版物
SENSORS
Volume 22, Issue 4, Pages 1521
出版商
MDPI AG
发表日期
2022-02-17
DOI
10.3390/s22041521
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
- (2021) Er Mehmet Bilal APPLIED ACOUSTICS
- Deep Learning Methods for Heart Sounds Classification: A Systematic Review
- (2021) Wei Chen et al. Entropy
- Multi-channel lung sound classification with convolutional recurrent neural networks
- (2020) Elmar Messner et al. COMPUTERS IN BIOLOGY AND MEDICINE
- The diagnostic accuracy of lung auscultation in adult patients with acute pulmonary pathologies: a meta-analysis
- (2020) Luca Arts et al. Scientific Reports
- Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
- (2020) Muqing Deng et al. NEURAL NETWORKS
- Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers
- (2020) Luay Fraiwan et al. Biocybernetics and Biomedical Engineering
- Ensemble of handcrafted and deep features for urban sound classification
- (2020) Jederson S. Luz et al. APPLIED ACOUSTICS
- A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram
- (2020) Samiul Based Shuvo et al. IEEE Journal of Biomedical and Health Informatics
- Applying an ensemble convolutional neural network with Savitzky–Golay filter to construct a phonocardiogram prediction model
- (2019) Jimmy Ming-Tai Wu et al. APPLIED SOFT COMPUTING
- Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features
- (2019) Diogo Marcelo Nogueira et al. JOURNAL OF MEDICAL SYSTEMS
- Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
- (2019) Bin Xiao et al. NEUROCOMPUTING
- National Health Care Spending In 2018: Growth Driven By Accelerations In Medicare And Private Insurance Spending
- (2019) Micah Hartman et al. HEALTH AFFAIRS
- Lung sounds classification using convolutional neural networks
- (2018) Dalal Bardou et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
- (2018) Shu Lih Oh et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection
- (2018) Baris Bozkurt et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data
- (2018) Dongdong Sun et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A novel multi-modality image fusion method based on image decomposition and sparse representation
- (2018) Zhiqin Zhu et al. INFORMATION SCIENCES
- A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders
- (2018) Sarika Hegde et al. JOURNAL OF VOICE
- Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
- (2017) U. Rajendra Acharya et al. INFORMATION SCIENCES
- Fused cerebral organoids model interactions between brain regions
- (2017) Joshua A Bagley et al. NATURE METHODS
- Pulse Oximetry and Auscultation for Congenital Heart Disease Detection
- (2017) Xiao-jing Hu et al. PEDIATRICS
- Audiovisual Spatial-Audio Analysis by Means of Sound Localization and Imaging: A Multimedia Healthcare Framework in Abdominal Sound Mapping
- (2016) Charalampos A. Dimoulas IEEE TRANSACTIONS ON MULTIMEDIA
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started