Journal of clinical monitoring and computing
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J Clin Monit Comput · Oct 2005
Towards data warehousing and mining of protein unfolding simulation data.
The prediction of protein structure and the precise understanding of protein folding and unfolding processes remains one of the greatest challenges in structural biology and bioinformatics. Computer simulations based on molecular dynamics (MD) are at the forefront of the effort to gain a deeper understanding of these complex processes. Currently, these MD simulations are usually on the order of tens of nanoseconds, generate a large amount of conformational data and are computationally expensive. More and more groups run such simulations and generate a myriad of data, which raises new challenges in managing and analyzing these data. Because the vast range of proteins researchers want to study and simulate, the computational effort needed to generate data, the large data volumes involved, and the different types of analyses scientists need to perform, it is desirable to provide a public repository allowing researchers to pool and share protein unfolding data. ⋯ Web and grid services, especially pre-defined data mining services that can run on or 'near' the data repository of the data warehouse, are likely to play a pivotal role in the analysis of molecular dynamics unfolding data.
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J Clin Monit Comput · Jun 2005
Reliability of near-infrared spectroscopy in people with dark skin pigmentation.
Near-infrared spectroscopy (NIRS) is a promising non-invasive technique for the continuous monitoring of tissue oxygen delivery. NIRS detects light absorbance of haemoglobin chromophores to determine tissue oxygen saturation (StO2). As skin colour is also determined by the presence of chromophores, it is plausible that NIRS signal quality may be affected by dark skin pigmentation. ⋯ In patients with a dark pigmented skin, NIRS StO2 measurements should be interpreted with caution, as melanin clearly interferes with the quality of the reflected NIRS signal.
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J Clin Monit Comput · Jun 2005
Randomized Controlled TrialRecovery from paralysis with succinylcholine increased Response entropy and EMG but not State entropy.
It is reported that the electromyogram is an indicator of patient arousal during pain stimulation if anesthesia is inadequate. This may not be true during recovery from succinylcholine induced paralysis. We evaluated State entropy of the electroencephalogram (EEG, 0.8-32 Hz) and Response entropy, a combined measure of the electromyogram (EMG) and EEG (0.8-47 Hz), during recovery from paralysis with succinylcholine. ⋯ Although RE and EMG increased during recovery from paralysis with succinylcholine, SE, an indicator of EEG, was not stimulated. EMG activity may not be an indicator of patient arousal after succinylcholine treatment.
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J Clin Monit Comput · Jun 2005
A stochastic control program to predict outcome and to support therapeutic decisions: a preliminary report.
Early noninvasive hemodynamic monitoring with an outcome predictor and a therapeutic decision support system may be useful to identify and correct hemodynamic deficiencies in emergency patients. The first aim was to apply a stochastic (probability) search and display model to predict outcome as early as possible. The second aim was to explore the usefulness of a therapeutic decision support system to evaluate the relative effectiveness of various therapies. ⋯ The cardiac index, mean arterial pressure, arterial saturation, transcutaneous oxygen and carbon dioxide tensions were appreciably higher in survivors than in nonsurvivors in the initial resuscitation. Heart rate was higher in the nonsurvivors. The calculated Survival Probability (SP) of survivors averaged 81 +/- 1.4% in the first 24-hour observation period. It was 58 +/- 2.2% for nonsurvivors during this period. Misclassifications were 10/100 or 10%.