Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation

2019 ◽  
Vol 53 ◽  
pp. 101560 ◽  
Author(s):  
Wenjie Zhang ◽  
Jiqing Han ◽  
Shiwen Deng
Keyword(s):  
Short Term Memory ◽  
Heart Sound ◽  
Short Term ◽  
Term Memory ◽  
Sound Detection ◽  
Long Short Term Memory

scholarly journals Heart Sounds Analysis and Classification Based on Long-Short Term Memory

2020 ◽  
pp. 25-28
Author(s):  
Emre Cancioglu ◽  
Savas Sahin ◽  
Yalcin Isler
Keyword(s):  
Cardiac Cycle ◽  
Short Term Memory ◽  
Heart Sound ◽  
Point Of View ◽  
Sound Recording ◽  
Short Term ◽  
Term Memory ◽  
Sound Recordings ◽  
Long Short Term Memory

In this study, the development of an algorithm for the classification of heart sound phonocardiogram waveforms such as Normal, Murmur, Extrasystole, Artifact. By presenting the approach used for classification from a general machine learning application point of view, the types of classifiers used were detailed by comparing their features and their performance. The Long-Short Term Memory method which supports the classification of each cardiac cycle in sound recordings. In addition to the LSTM-based features, our method incorporates spectral features to summarize the characteristics of the entire sound recording.

Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks

2020 ◽  
Author(s):  
Abdolreza Nazemi ◽  
Johannes Jakubik ◽  
Andreas Geyer-Schulz ◽  
Frank J. Fabozzi
Keyword(s):  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Financial News ◽  
Long Short Term Memory
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