A multiresolution approach to the extraction of the pyloric rhythm

dos Santos, Filipa; Andras, Peter; Lam, KP

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2017 40th International Conference on Telecommunications and Signal Processing (TSP)
• Start Date: Jul 5, 2017
• End Date: Jul 7, 2017
• Online Publication Date: Oct 23, 2017
• Publication Date: 2017
• Deposit Date: Nov 4, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 403-406
• Book Title: 2017 40th International Conference on Telecommunications and Signal Processing (TSP)
• DOI: https://doi.org/10.1109/TSP.2017.8076015
• Keywords: multiresolution signal processing, optical recording, singular spectrum analysis, stomatogastric ganglion, voltage sensitive dye
• Public URL: http://researchrepository.napier.ac.uk/Output/2809165