Auditory screening of high risk infants with brainstem evoked responses and impedance audiometry.
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Acoustic Impedance Tests↗
Biomedical subjects
G Pang-Ching
Publications and source records attributed to G Pang-Ching.
Autoregressive analysis: a method for detecting electroencephalic changes in newborns to tones.
This report presents an autoregressive technique for detectiong statistically significant changes in brain activity to tones. The change detectin model is applied to stationary time series electroencephalogram samples from sleeping newborn infants. The electroencephalic responses of neonates to tones are quantified and analyzed in terms of t-statistics. Confidence limits applied to averaged t-statistics objectively and reliably defined statistically significant late components in newborns.
Acoustic Stimulation↗
A comparison of clinical behavioral audiometry and autoregression analysis of EEG and heart rate in hearing-impaired children.
Autoregressive analysis, a statistical technique for detecting changes in electroencephalic (EEG) and heart rate (HR) data was compared with clinical behavioral audiometric results on 10 hearing-impaired children in schools for the hard of hearing and deaf. EEG and HR data were collected in a screening paradigm involving tones of .5, 1, and 4 kc/s at 80 db SPL in a free field. An index of reliability, or acceptable level of agreement, was set at 70%. This criterion was met 5 out of 6 times. For the EEG, agreements exceeded 70% at 1 and at 4 kc/s, and for HR at all 3 frequencies. Results suggest that the autoregressive approach yields data very similar to behavioral audiometry in this population. Continued exploration of autoregressive analysis of electrophysiologic indices in determining reactivity to tones is warranted, particularly since the statistical method can be used with younger infants.
Audiometry↗