RESUMEN
OBJECTIVE: To develop an automated procedure for scoring neonatal sleep states using signal processing which are based on visual pattern recognition techniques. METHODS: We are developing an automated computer system to study relationships among multiple non-cerebral physiologic measures and brain activity in newborn infants, and are evaluating the usefulness of a number of different time-frequency domain transforms as potential diagnostic tools. RESULTS: Wavelet transforms yield excellent results in the detection of all twenty tracé alternant quiet sleep segments for 6 full-term healthy infants. CONCLUSIONS: We suggest that this method will be useful for the automated detection of neonatal sleep states, and may help delineate when sleep cycle disturbances occur on either an environmental or disease basis. More accurate physiologic descriptions of neonatal state may improve the clinician's ability to assess functional brain organization for a given post-conceptional age as well as document functional brain maturation at progressively older corrected ages.
Asunto(s)
Recién Nacido/fisiología , Sueño/fisiología , Algoritmos , Automatización , Electroencefalografía , Humanos , Reconocimiento Visual de Modelos/fisiología , Valores de Referencia , Factores de TiempoRESUMEN
We present an algorithm for automatic on-line analysis of the electrocardiography (ECG) channel acquired during overnight polysomnography (PSG) studies. The system is independent of ECG morphology, requires no manual initialization, and operates automatically throughout the night. It highlights likely occurrences of arrhythmias and intervals of bad signal quality while outputting a continual estimate of heart rate. Algorithm performance is validated against standard ECG databases and PSG data. Results demonstrate a minimal false negative rate and a low false positive rate for arrhythmia detection, and robustness over a wide range of noise contamination.
Asunto(s)
Algoritmos , Arritmias Cardíacas/diagnóstico , Diagnóstico por Computador , Electrocardiografía , Polisomnografía , Arritmias Cardíacas/complicaciones , Reacciones Falso Negativas , Reacciones Falso Positivas , Frecuencia Cardíaca , Humanos , Procesamiento de Señales Asistido por Computador , Trastornos del Sueño-Vigilia/complicaciones , Diseño de SoftwareRESUMEN
A novel series of tetrahydrobenzodioxinopyrroles has been identified as potent and selective alpha 2-adrenoceptor antagonists. Convergent syntheses have been developed that allowed the preparation of analogues and their enantiomers. A compound of particular interest is the 5-fluoro substituted analogue (fluparoxan).