Robust Signal Generation and Analysis of Rat Embryonic Heart Rate In Vitro using Laplacian Eigenmaps and Empirical Mode Decomposition

Abstract

To develop an accurate and suitable method for measuring the embryonic heart rate in vitro, a system combining Laplacian eigenmaps and empirical mode decomposition has been proposed. The proposed method assess the heart activity in two steps; signal generation and heart signal analysis. Signal generation is achieved by Laplacian eigenmaps (LEM) in conjunction with correlation co-efficient, while the signal analysis of the heart motion has been performed by the modified empirical mode decomposition (EMD). LEM helps to find the template for the atrium and the ventricle respectively, whereas EMD helps to find the non-linear trend term without defining any regression model. The proposed method also removes the motion artifacts produced due to the the non-rigid deformation in the shape of the embryo, the noise induced during the data acquisition, and the higher order harmonics. To check the authenticity of the proposed method, 151 videos have been investigated. Experimental results demonstrate the superiority of the proposed method in comparison to three recent methods

Published in

Lecture Notes in Computer Science
2011, volume: 6855, pages: 523-530
Title: Computer Analysis of Images and Patterns. 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II
Publisher: Springer

Conference

14th International Conference, CAIP 2011. Computer Analysis of Images and Patterns

SLU Authors

• Nyström, Ingela

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Signal Processing
Computer Science

Publication identifier

• DOI: https://doi.org/10.1007/978-3-642-23678-5
• ISBN: 978-3-642-23677-8

Permanent link to this page (URI)

https://res.slu.se/id/publ/36235