Computer-assisted evaluation of the smooth-muscle electromyogram of the corpora cavernosa by fast Fourier transformation
| Autor: | Udo Jonas, N. Schlote, Christian Georg Stief, Bernd Kellner, Michael C. Truss, Christoph Hartung, Ekkehard W. Hauck, Herrmann Hinrichs |
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| Rok vydání: | 1997 |
| Předmět: |
Adult
Male medicine.medical_specialty Aging Penile Diseases Adolescent Urology Fast Fourier transform Electromyography Smooth muscle Medicine Humans Computer Simulation Digital recording Aged Signal processing medicine.diagnostic_test Fourier Analysis business.industry Penile Erection Reproducibility of Results Muscle Smooth Middle Aged Clinical routine Surgery Needle penetration Frequency domain business Biomedical engineering Penis |
| Zdroj: | European urology. 31(3) |
| ISSN: | 0302-2838 |
| Popis: | Objective: The aim of our study was to investigate analogous and digital recording of corpus cavernosum EMGs (CC-EMGs) in normal men according to criteria that were recently agreed upon in an international consensus workshop. Methods: CC-EMGs were analogously and digitally registered from 37 normal subjects. Power spectra in the frequency domain were determined via fast Fourier transformation (FFT). Results: Thirty-one of men showed identical or at least very similar electrical activity patterns in the analogous and digital registration. Needle penetration artifacts (investigated in 18 subjects) were found in 17/18 CC-EMGs during the first 20 min. Power spectra show a maximum of power at a frequency of 0.3 Hz with more than 90% of the power located between 0 and 5 Hz. Conclusions: Registration of CC-EMGs in normal men resulted in interindividually reproducible recordings. Age hardly affected CC-EMGs. Computer-assisted evaluation by FFT after elimination of artifacts was feasible. Thus, interpretation of the CC-EMG signals by a computer-aided expert system seems to be promising for clinical routine, in particular with respect to an increase in objectivity and a decrease in time needed for interpretation. |
| Databáze: | OpenAIRE |
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