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In this paper we present data collection and methods for the selection of a model class with the goal of automated neuromuscular blockade (NMB). Neuromuscular response was measured in the presence of rocuronium in rabbits (N=S) and humans (N=14). An average response was formed and used to determine optimal ARX and Laguerre representations for a wide range of orders and parameters. A 6th order Laguerre...
In terms of the characteristic of anesthetic operation, this paper propose new physiologically based pharmacokinetics/ pharmacodynamics (PBPK/PD) model that focus on the important role of autonomic nervous system (ANS) more. Automatic nervous system that is divided into the sympathetic nervous system and the parasympathetic nervous system, at the same time, is the important target of drug effect in...
We describe multiresolution Bayesian tests for spike detection in multielectrode recordings. We derive results for single channel and multi electrode data, and show that the use of the array model substantially improves the detection performance. The effect of signal and noise spatial correlation characteristics is also discussed. Our approach focuses on blind signal detection without any assumptions...
Recent methods for motor cortical decoding have demonstrated relatively accurate reconstructions of hand trajectory from small populations of neurons in primary motor cortex. Decoding results are often reported only for periods when the subject is attending to the task. In a neural prosthetic interface, however, the subject must be able to switch between controlling a device or performing other mental...
While biosignal analysis has been a mainstay in many medical applications for a number of decades, notably in cardiology, problems remain in the analysis of high volume data and in comparison among time series. Effective comparisons can determine if the state of a particular patient has changed significantly. These comparisons are useful in both long-term and short-term monitoring. Methods will vary...
This article presents an analysis of the information rate of neural spike trains in an auditory nerve fiber (ANF) model stimulated extracellularly by sinusoidal electric stimuli under the case where a high-rate pulsatile waveform is presented as a conditioner for increasing the across-fiber-independency, i.e., desynchronization. In the computer simulation, stimulus current waveforms were presented...
Based on Poisson variability, the strength of cross-correlation of two spike trains was quantified by a cross-correlation index (CCI). Discriminant analysis with CCI was used to quantify the contribution of cross-correlation in stimulus feature discrimination in an ensemble of retinal ganglion cells. Compared with simulated Poisson cell pair, it was found that cross-correlation carried useful information...
This paper describes an approach to fine scale non-rigid registration for mapping patterns of tissue volume loss in serial MRI studies of the brain. Specifically it addresses the important confound of diffuse tissue contrast changes which can influence local sub-voxel estimates of volume change. Such changes can be induced by neurodegenerative or neurodevelopmental processes, which not only modify...
A neural sensor with novel structure and capable of double side recordings has been designed and fabricated using surface micromachining technique. Dry-etch benzocyclobutene (BCB) was selected as the substrate and packaging material for its excellent electrical, mechanical and thermal properties. Positive photoresist (AZ4620) was used as the sacrificial layer during the formation of backside recording...
Previous studies in various animal models have shown that respiratory premotor and motor neurons undergo rapid changes in biochemical and bioelectric properties during the first month of postnatal life. Early in postnatal life, there is an increase in the complexity of the morphology of the dendritic tree of respiratory neurons as it changes from a bipolar to a multipolar morphology. During normal...
A simulation-based training resource was developed for electrophysiology. The resource focuses on computational modeling of cellular bioelectric activity and is called the interactive cell modeling tool. iCell can be used as a simulation-based teaching and learning tool for electrophysiology. The site consists of JAVA models of various cardiac cells and neurons, and provides simulation data of their...
Power spectral analysis of spontaneous heart rate (HR) variability is a popular and convenient technique for quantifying cardiac autonomic nervous function. While this technique can provide an effective index of parasympathetic nervous function, it cannot provide a pure index of beta-sympathetic nervous function. We have developed a non-invasive technique for selectively quantifying cardiac sympathetic...
Although plasma catecholamines such as norepinephrine (NE) and epinephrine (Epi) increase during severe exercise, the effects of high levels of plasma catecholamines on dynamic heart rate (HR) regulation by the cardiac sympathetic nerve remains unknown. The aim of the present study was to examine the effects of plasma catecholamines on the transfer function from sympathetic nerve stimulation to HR...
This study describes the autonomic nervous system (ANS) response before, during and after a percutaneous transluminal coronary angioplasty (PTCA). The study population consisted of 37 patients undergoing PTCA from Staff-3 Database. Classical heart rate variability (HRV) parameters: RR mean, SD, rMSSD, LF, HF, LF/HF and LF/(HF+LF) were extracted and a multiple factorial analysis (MFA) was carried out...
A novel numerical design of experimental analysis of cell-based sensors was introduced in the paper. In order to increase the signals to noise ratio and improve the performance of the chips, we analyzed cell-based sensors numerically and experimentally. Since the action potential which is about dozens of milliseconds changes quickly, we demonstrated an improved equivalent circuit model. Based on modeling...
We have developed a new algorithm, FINE, to enhance the spatial resolution and localization accuracy for closely-spaced sources, in the framework of the subspace source localization. Computer simulations were conducted in the present study to evaluate the performance of FINE, as compared with classic subspace source localization algorithms, i.e. MUSIC and RAP-MUSIC, in a realistic geometry head model...
This paper brings forward a new method to solve EEG inverse problem. Based on following physiological characteristic of neural electrical activity source: first, the neighboring neurons are prone to active synchronously; second, the distribution of source space is sparse; third, the active intensity of the sources are highly centralized, we take these prior knowledge as prerequisite condition to develop...
This paper aimed at developing an index, called sleep index, to assess the quality of sleep in normal and obstructive sleep apnea (OSA) subjects. The sleep index was designed to be directly proportional to the summation of product of the number seconds spent in each stage of sleep and the selected weighting coefficient of each sleep stage. It was also inversely proportional to the product of total...
In patients suffering from various sleep disorders and some elderly patients, sleep is disturbed with frequent but brief arousal. These events do not cause behavioral awakening, but can lead to excessive day time sleepiness. These brief arousals or microarousals (MAs) can be identified on a standard polysomnogram as a transient abrupt change of frequency, typically in the alpha and extended beta (16-40...
An effective and clinically relevant parameter for differentiating ischemic optic neuropathy (ION) and optic neuritis (ON) patients using the visual evoked potentials (VEPs) has been identified. In this study, statistical analysis has been carried out on time domain parameters of the VEP waveforms recorded for ION (17 patients) and ON (35 patients) groups. The ratio of the amplitude of P100 component...
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