Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
暂无分享,去创建一个
Jing Zhang | Jiuwen Cao | Muqing Deng | Tingting Meng | Shimin Wang | Huijie Fan | Jiuwen Cao | Huijie Fan | M. Deng | Jing Zhang | Tingting Meng | Shimin Wang
[1] Hazem Hajj,et al. Classification of normal and abnormal heart sounds , 2017, 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME).
[2] Hoang Trang,et al. Proposed combination of PCA and MFCC feature extraction in speech recognition system , 2014, 2014 International Conference on Advanced Technologies for Communications (ATC 2014).
[3] Bryan R. Conroy,et al. Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds , 2016, 2016 Computing in Cardiology Conference (CinC).
[4] Babatunde S Emmanuel. A review of signal processing techniques for heart sound analysis in clinical diagnosis , 2012, Journal of medical engineering & technology.
[5] K. Ho,et al. Factors influencing cardiac auscultation proficiency in physician trainees. , 2005, Singapore medical journal.
[6] Suleyman S. Kozat,et al. Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] R. Akmeliawati,et al. Adaptive Short Time Fourier Transform (STFT) Analysis of seismic electric signal (SES): A comparison of Hamming and rectangular window , 2012, 2012 IEEE Symposium on Industrial Electronics and Applications.
[9] Andreas Dominik,et al. Using deep gated RNN with a convolutional front end for end-to-end classification of heart sound , 2016, 2016 Computing in Cardiology Conference (CinC).
[10] Simon Dixon,et al. An End-to-End Neural Network for Polyphonic Piano Music Transcription , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[11] Shi-Wen Deng,et al. Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps , 2016, Future Gener. Comput. Syst..
[12] Gabriel Jimenez-Moreno,et al. Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors , 2017, IEEE Transactions on Biomedical Circuits and Systems.
[13] Qiao Li,et al. Recent advances in heart sound analysis , 2017, Physiological measurement.
[14] Shankar M. Krishnan,et al. Neural network classification of homomorphic segmented heart sounds , 2007, Appl. Soft Comput..
[15] Aggelos K. Katsaggelos,et al. Heart sound anomaly and quality detection using ensemble of neural networks without segmentation , 2016, 2016 Computing in Cardiology Conference (CinC).
[16] D. Mozaffarian,et al. Executive summary: heart disease and stroke statistics--2010 update: a report from the American Heart Association. , 2010, Circulation.
[17] Egon Toft,et al. Acoustic Features for the Identification of Coronary Artery Disease , 2015, IEEE Transactions on Biomedical Engineering.
[18] Kumar Sricharan,et al. Recognizing Abnormal Heart Sounds Using Deep Learning , 2017, KHD@IJCAI.
[19] Prospero C. Naval,et al. Classification of heart sounds using discrete and continuous wavelet transform and random forests , 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).
[20] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[21] Rocío Alba-Flores,et al. Detection and Classification of Cardiac Murmurs using Segmentation Techniques and Artificial Neural Networks , 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.
[22] Mark D. Huffman,et al. Executive summary: heart disease and stroke statistics--2013 update: a report from the American Heart Association. , 2013, Circulation.
[23] Lionel Tarassenko,et al. Logistic Regression-HSMM-Based Heart Sound Segmentation , 2016, IEEE Transactions on Biomedical Engineering.
[24] Yan Liu,et al. Normal / abnormal heart sound recordings classification using convolutional neural network , 2016, 2016 Computing in Cardiology Conference (CinC).
[25] Mark D. Huffman,et al. Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association , 2016, Circulation.
[26] Liang Zhong,et al. A multi-modal classifier for heart sound recordings , 2016, 2016 Computing in Cardiology Conference (CinC).
[27] Weibin Zhang,et al. Automatic heart and lung sounds classification using convolutional neural networks , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[28] Zhongwei Jiang,et al. Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform , 2014, Comput. Methods Programs Biomed..
[29] Fernando Bação,et al. Oversampling for Imbalanced Learning Based on K-Means and SMOTE , 2017, Inf. Sci..
[30] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[31] Mohd Murtadha Mohamad,et al. Classification of heart sound signals using autoregressive model and hidden markov model , 2017 .
[32] Ping Wang,et al. Phonocardiographic Signal Analysis Method Using a Modified Hidden Markov Model , 2007, Annals of Biomedical Engineering.
[33] Qiao Li,et al. An open access database for the evaluation of heart sound algorithms , 2016, Physiological measurement.
[34] Yannis Stylianou,et al. A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection , 2018, Comput. Biol. Medicine.
[35] Rajib Rana,et al. Phonocardiographic Sensing Using Deep Learning for Abnormal Heartbeat Detection , 2018, IEEE Sensors Journal.
[36] Jacques P. de Vos,et al. Automated Pediatric Cardiac Auscultation , 2007, IEEE Transactions on Biomedical Engineering.
[37] Waree Kongprawechnon,et al. A framework for automatic heart sound analysis without segmentation , 2011, Biomedical engineering online.
[38] Gian Marti,et al. Heart sound classification using deep structured features , 2016, 2016 Computing in Cardiology Conference (CinC).
[39] Kaustubh Manik Gaikwad,et al. Removal of high frequency noise from ECG signal using digital IIR butterworth filter , 2014, 2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN).