Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
Authors
Keywords
Heart sound classification, Phonocardiogram, Local Binary Pattern, Local Ternary Pattern, Deep learning, Feature selection
Journal
APPLIED ACOUSTICS
Volume 180, Issue -, Pages 108152
Publisher
Elsevier BV
Online
2021-05-07
DOI
10.1016/j.apacoust.2021.108152
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals
- (2021) Sumair Aziz et al. EXPERT SYSTEMS
- Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers
- (2019) Zaid Abduh et al. Biomedical Signal Processing and Control
- Fall detection through acoustic Local Ternary Patterns
- (2018) Syed M. Adnan et al. APPLIED ACOUSTICS
- Classification of heart sound signal using curve fitting and fractal dimension
- (2018) Maryam Hamidi et al. Biomedical Signal Processing and Control
- 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
- Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
- (2018) H. M. Fahad et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Heart sound classification based on scaled spectrogram and tensor decomposition
- (2017) Wenjie Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope
- (2017) V. Nivitha Varghees et al. IEEE SENSORS JOURNAL
- Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps
- (2016) Shi-Wen Deng et al. Future Generation Computer Systems-The International Journal of eScience
- An open access database for the evaluation of heart sound algorithms
- (2016) Chengyu Liu et al. PHYSIOLOGICAL MEASUREMENT
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A review of microarray datasets and applied feature selection methods
- (2014) V. Bolón-Canedo et al. INFORMATION SCIENCES
- A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image
- (2013) Bo Yang et al. NEUROCOMPUTING
- Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
- (2010) Xiaoyang Tan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Biomedical System Based on Artificial Neural Network and Principal Component Analysis for Diagnosis of the Heart Valve Diseases
- (2010) Harun Uğuz JOURNAL OF MEDICAL SYSTEMS
- Evaluation of ensemble methods for diagnosing of valvular heart disease
- (2009) Resul Das et al. EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More