Application of correlation techniques in the analysis of corpus cavernosum electromyographic signals

Jiang, Xiao-Gang and Holsheimer, Jan and Manola, Ljubomir and Wagner, Gorm and Wijkstra, Hessel and Knipscheer, Ben and Meuleman, Eric J.H. (2007) Application of correlation techniques in the analysis of corpus cavernosum electromyographic signals. Asian Journal of Andrology, 9 (3). pp. 369-376. ISSN 1008-682X

PDF
Restricted to UT campus only: Request a copy
349Kb

Abstract:	Aim: To establish an objective, easy-to-use and comprehensive method to analyze corpus cavernosum electromyographic signals (CC-potentials). Methods: CC-potentials were recorded during flaccidity in 23 young healthy volunteers, with surface electrodes placed on the penile shaft bilaterally. Based on the correlation function of Matlab software, an application program for the analysis of CC-potentials was developed. Individual CC-potentials and their autocorrelation function were evaluated, yielding parameters amplitude (A), duration (D), and dominant frequency (DF). The cross-correlation function of both longitudinal and bilateral pairs of adjacent electrodes was calculated to assess the similarity and mutual delay of CC-potentials recorded simultaneously from different parts of the CC. The parameters derived were squared maximum cross-correlation coefficient (Rmax) and delay (τ). Based on the absolute value of τ and the corresponding inter-electrode distance, propagation velocity (PV) was calculated. Results: The values of the parameters were determined automatically. No significant difference related to the locations of the electrodes for parameters A, D, and DF was detected. The cross-correlation showed that both longitudinal and bilateral CC-potential pairs had highly similar waveforms (the absolute values of Rmax were 0.80 ± 0.05 and 0.87 ± 0.06, respectively). PV of longitudinal pairs was estimated as 6.15 ± 3.98 cm/s. Conclusion: The application program for correlation analysis of CC-potentials is a comprehensive and versatile method to analyze corpus cavernosum electromyographic recordings. Its objectiveness makes multi-center application possible.
Item Type:	Article
Copyright:	© 2007 Nature Publishing Group
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Biomedical Signals and Systems (BSS)
Link to this item:	http://purl.utwente.nl/publications/63692
Official URL:	http://dx.doi.org/10.1111/j.1745-7262.2007.00259.x
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page

Metis ID: 241645