Journal of clinical monitoring and computing
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J Clin Monit Comput · Apr 2006
A depth of anaesthesia index from linear regression of EEG parameters.
The field of Anaesthesia has recently witnessed numerous advances both in the drug administration and monitoring of anaesthetic state. This development has further boosted the efforts and interest of researchers in the automation of clinical Anaesthesia. The success in this direction is possible only when assessment of the depth of hypnotic component of anaesthesia is achieved accurately. This paper describes a technique to arrive at a reliable Depth of Hypnosis (DoH) index using electroencephalographic (EEG) parameters. ⋯ A combination of irregularity of EEG waveform in time-domain and band powers in frequency domain best describes the difference between awake and anesthetized states. To characterize these states, a set of optimum EEG parameters exists. These parameters must be normalized to reduce interpatient variability. The calculated graded index may be used to assist the anaesthetist in the operating theatre.
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J Clin Monit Comput · Feb 2006
Linear model and algorithm to automatically estimate the pressure limit of pressure controlled ventilation for delivering a target tidal volume.
To theoretically assess the viability of an automatic procedure to support the anesthesiologist in properly setting mechanical ventilators when the operating conditions are switched from volume controlled to pressure controlled ventilation whilst maintaining the preset tidal volume. The procedure is based on a simple linear model of the ventilator breathing system with constant parameters and utilizes the signals gathered by the ventilator without the need to add further equipment. After a short period of stable volume controlled ventilation with the desired tidal volume, the herewith described algorithm allows the calculation of the value of pressure limit to set in pressure controlled mode which assures the previously settled tidal volume with the same breathing frequency and inspiratory-expiratory time ratio. ⋯ The proposed theoretical approach shows the viability, for adult settings, of one of the simplest mathematical model for mechanical ventilation in order to quickly and safely switch from volume controlled to pressure controlled ventilation. The algorithm could easily be in perspective implemented in the software of the ventilator providing the anesthesiologist with an indication on the value of pressure limit to set in order to safely switch ventilation mode.
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J Clin Monit Comput · Feb 2006
Comparative StudyCorrelation between cardiac output measured by the femoral arterial thermodilution technique pulmonary arterial and that measured by contour pulse analysis in a paediatric animal model.
To evaluate the correlation between two methods for the determination of cardiac output: the femoral arterial thermodilution technique (FATD) and the arterial pulse contour analysis (PCCO) using the PiCCO catheter. ⋯ Femoral arterial thermodilution cardiac output measurements correlates well with pulse contour analysis cardiac output in this paediatric animal model.
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J Clin Monit Comput · Feb 2006
A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram.
To determine if an automatic algorithm using wavelet analysis techniques can be used to reliably determine respiratory rate from the photoplethysmogram (PPG). ⋯ Our technique allows the accurate measurement of respiratory rate from the photoplethysmogram, and leads the way for developing a simple non-invasive combined respiration and saturation monitor.
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J Clin Monit Comput · Feb 2006
The American Society of Neurophysiological Monitoring position statements project.
The American Society of Neurophysiological Monitoring (ASNM) is developing position statements aimed at assisting practitioners and others in making decisions regarding neurophysiological monitoring practice. This paper describes the procedures used in drafting these documents.