A Multiresolution Approach to the Extraction of the Pyloric Rhythm

dos Santos, Filipa; Andras, Peter; Lam, K P

Abstract

This paper describes our work toward the development of a computationally robust methodology to identify the pyloric neurons in the stomatogastric ganglion of Cancer pagurus using voltage-sensitive dye imaging. The multi-resolution signal decomposition procedure constructed using the sequential Singular Spectrum Analysis approach to isolate the pyloric rhythm from optical recordings of dyed live cells is presented. Early results suggest that the developed procedure offers a demonstrably reliable way to extract the rhythm from the recording data of these cells.

Citation

dos Santos, F., Andras, P., & Lam, K. P. (2017). A Multiresolution Approach to the Extraction of the Pyloric Rhythm. In 2017 40th International Conference on Telecommunications and Signal Processing (TSP). https://doi.org/10.1109/TSP.2017.8076015

• Conference Name: 2017 40th International Conference on Telecommunications and Signal Processing (TSP)
• Start Date: Jul 5, 2017
• End Date: Jul 7, 2017
• Acceptance Date: May 4, 2017
• Publication Date: Oct 23, 2017
• Publicly Available Date: May 26, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Series Title: 2017 40th International Conference on Telecommunications and Signal Processing (TSP)
• Book Title: 2017 40th International Conference on Telecommunications and Signal Processing (TSP)
• ISBN: 978-1-5090-3983-8
• DOI: https://doi.org/10.1109/TSP.2017.8076015
• Publisher URL: https://ieeexplore.ieee.org/document/8076015