Separation of Real Time Heart Sound Signal from Lung Sound Signal Using Neural Network

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• 关键词：Heart sound signal ; Lung sound signal ; Neural network
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：8947
• 期：1
• 页码：284-291
• 全文大小：1,018 KB
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• 作者单位：K. Sathesh (16)
  N. J. R. Muniraj (17)
  
  16. Department of ECE, Tejaa Sakthi Institute of Technology for Women, Coimbatore, India
  17. Tejaa Sakthi Institute of Technology for Women, Coimbatore, India
  
• 丛书名：Swarm, Evolutionary, and Memetic Computing
• ISBN：978-3-319-20294-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

While recording lung sounds, an incessant noise source takes place owing to heart sounds. This noise source severely contaminates the breath sound signal and interferes in the analysis of lung sounds. This paper presents a technique for separation of heart sound signal (HSS) from lung sound signal (LSS) using neural network (NN) with real time recorded sound signal. Here two signals are used in neural network noise separation scheme. The two signals are raw signal and reference heart signal. The raw signal is given as input signal to neural network and reference heart signal is used as target signal. The proposed system is applied and the results show the error rate of the desired sound signal (DSS), signal to noise ratio (SNR) and execution time.