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Biomedical subjects

K E Wolf

Publications and source records attributed to K E Wolf.

10 recordsLinked to original sources
PubMed1989

Involvement in the legislative process through the state association.

Speech-language-hearing professionals need to develop a proactive posture regarding legislative issues. The first steps must begin at the local level. The state association is a reasonable and logical organization from which broader issues may be addressed, issues affecting the professionals as well as the patients/clients/students who require their services. The ideas that we generate at conferences and meetings to improve our educational and health care systems can be funneled into meaningful legislative action. The legislative issues of today become the governing regulations of tomorrow. Involvement in the legislative process helps strengthen our collective voices.

Audiology↗
PubMed1979

Toward objective analysis for electroencephalic audiometry.

Middle-component AERs (8-90 msec) to tone-pips from 10 normal-hearing adults were subjected to three objective methods of response identification. Threshold was then determined for each subject according to four different rules. The criterion score, which considers conjointly latency and amplitude values across the middle-component peaks, was developed as a single-value measure for response-identification and subsequent threshold-determination procedures. One of the response-identification methods was applied to 10 hearing-impaired subjects; the results of the threshold-determination procedures were encouraging. Further directions toward improving objective response analysis are discussed.

Audiometry↗
PubMed1978

Middle component averaged electroencephalic responses to tonal stimuli from normal neonates. Initial report.

Tone-pips, centered at 1,000 Hz, were used to elicit middle component averaged electroencephalic responses (AERs) (8 to 90 ms) from five normal neonates. The stimuli were presented monaurally at 10-, 30-, and 50-dB HL, with regard to adult behavioral thresholds. Averaged electroencephalic responses were also derived for no-stimulus control conditions. The initial portion of the stimulus-elicited AER waveforms was similar to that obtained from adults. An objective, scoring procedure, based on predetermined rules, was used to determine peak latencies and to quantify point-to-point amplitudes. Inspection of the scored data revealed that latencies decreased and amplitudes increased as the stimulus magnitude increased, as has also been reported for adults. Unlike adult responses, the middle components from the neonates in this study were identifiable only when recorded from the side of the head ipsilateral to the ear stimulated.

Auditory Perception↗
PubMed1975

Reexamination of effects of stimulus rate and number on the middle components of the averaged electroencephalic response.

The middle components of the evoked cortical response (8-50 msec) were examined under improved signal processing conditions. 512 click stimuli were presented at 5 rates ranging from 1-16/sec to 10 normal-hearing subjects. The influence of stimulus numbers of 32, 64, 128 and 512 and stimulus rates of 1, 2, 4, 8 and 16/sec was examined. Identifiable and repeatable responses were found with as few as 128 stimuli. Stimulus rate had little effect on middle component waveform or its identifiability. An enhancement of signal-to-noise ratio through improved filter conditions is suggested as one reason for the ability to identify middle components to fewer stimuli.

Acoustic Stimulation↗
PubMedDate not supplied

Middle components of human auditory averaged electroencephalic response: waveform variations during averaging.

The bases for variations of the middle-component (8-50 ms) auditory averaged electroencephalic response (AER) to clicks during the averaging process were explored by examining (1) the trend of the mean variance of the averaged waveform, (2) averaged waveforms generated by successive blocks of stimuli fractioned from a total of 512 stimuli, and (3) averaged waveforms generated by successive, but partially overlapping, blocks of responses recorded for a train of 512 stimuli. These analyses indicated no systematic changes in peak latencies or peak-to-peak amplitudes as stimulation progressed. Fluctuations in middle AER waveform are more readily explained by non-stationarity of the background electrophysiologic noise. Previously reported amplitude reduction with increasing stimulus number possibly can be explained by progressive reduction of the background noise on which the consistent-amplitude middle components are superimposed.

Acoustic Stimulation↗