1996
DOI: 10.1016/s0022-5347(01)66112-3
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Recording the Corpus Cavernosum Electromyogram: Principles and Problems

Abstract: Our findings indicate that electromyograms from the corpus cavernosum can be recorded even under adverse conditions. Signal properties, however, are such that the application of computer-aided data processing and analysis to the evaluation of these myograms is imperative.

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Cited by 9 publications
(8 citation statements)
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“…1. It is noted that most activity is concentrated at the very low rangebetween 0 and 1 Hz, as expected from previous reports [10,17]. The small peak at 1.3 Hz represents the artefact of the artificial ventilator.…”
Section: Resultssupporting
confidence: 87%
See 2 more Smart Citations
“…1. It is noted that most activity is concentrated at the very low rangebetween 0 and 1 Hz, as expected from previous reports [10,17]. The small peak at 1.3 Hz represents the artefact of the artificial ventilator.…”
Section: Resultssupporting
confidence: 87%
“…In a previous report our group found that some of the activity recorded from the human penis represents in part systemic sympathetic activity, probably not of smooth muscle origin; therefore, only part of the activity recorded from the penis can be attributed to smooth muscle [16]. Recently Scheepe et al [10] published the first report on recording of animal smooth muscle EMG, using needle recordings from dogs. In their report, minute changes in the raw signal and in the spectral analysis in response to pharmacological interventions were qualitatively noted.…”
Section: Discussionmentioning
confidence: 98%
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“…2 To date, results from only one experimental animal model of electrical activity of corporal smooth muscle have been published. 8 This article deals with the qualitative properties of the signal only.…”
mentioning
confidence: 99%
“…These measurement data are used to form the basis of the diagnosis 66 program. Initial attempts at mathematic representations were based on algorithms using the frequency domain [5,7,11,15]. Since a physician's diagnosis in clinical routine is normally reached using the time domain, a computer's result description based on frequency parameters would cause a high degree of abstraction.…”
mentioning
confidence: 99%