In order to apply the brain evoked potential (BEP) in neurological examinations and medical evaluations of flying crew (cadets), we recorded and analysed visually evoked potential (VEP) of 195 normal flying, cadets of 17-19 years of age. This report concerns mainly the basic wave form, its characteristics as well as latent period and peak-to-peak values.The results showed that chief wave group and latent period were more stable. There were no notable difference in latent periods and amplitudes between two hemispheres except P2-N2. When there was mental strain, latent period was markedly shortened. There was no notable difference in the amplitudes. While the fronto-occipital VEP phase showed difference. The mean values of latent period of P1,N1, P2, N2, P, were 90.66?23.14,125.25?28.06,184.59?32.01, 264.20?50.28,304.30?48.40 respectively, and those of peak-to-peak of N1-P2, P2-N2, N2-P3 were 10.28?4.60, 9.16?4.10, 3.05?2.26 respectively. The characteristics of VEP, the reliability of its normal values, and preliminary opinion on the applica tion of evoked potentials in aerospace medicine were discussed.

Objective To explore the sleep quality in patients with psoriasis. Methods Twelve psoriatic patients and 19 normal controls were examined by means of polysomnography (PSG). Results Light sleep increased markedly, but medium and deep sleep decreased in psoriatic group. Hypopnea index, apneahypopnea index, lowest oxygen saturation in arterial blood,

In this study we made full use of the heart rate spectrum analysis to obtain the character parameters of heart rate variability related to EEG sleep phase information, and then we discarded the correlation between characteristics by employing Principal Component Analysis. Finally, by means of the decision tree based on Fisher rules, we established two full automatic models for identifying healthy people and sleep apnea hypopnea syndroma (SAHS) patients respectively. The result of experiments indicates that the model is accurate and robust.
Decision Trees ; Electrocardiography ; Electroencephalography ; Female ; Heart Rate ; physiology ; Humans ; Male ; Models, Biological ; Polysomnography ; Signal Processing, Computer-Assisted ; Sleep ; physiology ; Sleep Apnea Syndromes ; physiopathology ; Sleep Stages