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IEEE-EMBS is the largest bioengineering society in the world. This paper introduces material about the Society and its benefits, including the EMBS mission, types of EMBS membership, and direct membership benefits such as the EMB Magazine. EMBS governance is also explained, including the new worldwide representational organization for AdCom (Administrative Committee), and recent changes in the Executive...
This paper presents an analysis of different methodologies for modelling pharmacokinetic systems under the context of a telemedicine system oriented to the on-line and personalized knowledge generation. We use a simplified 3-pool kinetic system for a better clarification of several relevant modelling formalisms. A more complete 3-pool urea kinetic model is built simply connecting EL components pertaining...
In this paper an axisymmetrical, linear, finite element model of human crystalline lens and zonules is constructed to simulate the accommodation process of the lens, based on the published experimental data. Some detailed modeling procedure and data processing differ from previous studies. Our results show that the optical power increases when ciliary body moves away from the lens. The outcome of...
In order to study the mechanism of the aqueous humor circulation and its relationship to the glaucoma macroscopically with engineering methods, a dynamistic model was presented, which can be used to simulate the situation and the treatment of the primary open angle glaucoma (POAG). The frame of the model was built based on the ophthalmically accepted feedback mechanism between the aqueous humor circulation...
The purpose of the present study was to examine the influence of muscle cooling on the passive mechanical properties of the human gastrocnemius muscle (GAS) in vivo. In a thermoneutral (a room temperature of 18-23degC) and a local cooling (placing the right lower leg into cold water with a temperature of 5-8degC for 60 min) conditions, the change in passive plantarflexion force (F), which is produced...
System identification involves creating mathematical models of systems using measurements of their inputs and outputs. Linear time-varying systems form an important sub-class of models that require the use of specialized system identification techniques. One such approach involves expanding the time-varying parameters onto a set of temporal basis functions and then estimating the resulting expansion...
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...
WaveShrink plays pivotal role in analysis of complex bio signals. Wavelet analysis and WaveShrink are the established techniques of statistical research which have to be blended with the analysis of bio signals to provide a high degree of correlation between the desired signal and the observed signal. The multifaceted shrinkage function will obtain lurid responses to the signal perturbed to a very...
A novel approach is proposed to deal with the problem of detecting the single trial ERP using a modified RBF neural network, rational Gaussian network. The Gaussian RBF is normalized to obtain optimal behavior of noise suppression even at low SNR. The performance of the proposed scheme is also evaluated with both MSE and the tracking ability. Several experimental results with real ERP signals provide...
Symbolic dynamics is a useful tool in several fields of complexity analysis in nonlinear science. In order to investigate complexities of the human brain electrical activities under different brain functional states, a novel method in terms of symbolic entropy is defined and proposed in this paper. The novel algorithm based on symbolic dynamics is developed for quantitatively measuring the complexity...
Heart rate variability and motion artifact are two major obstacles to the photoplethysmographic (PPG) signal analysis, which is a very promising tool to derive useful information about the hemodynamics as well as autonomic nerve system. This paper suggests employing a truncation/extrapolation method on the PPG signal or its first order derivative to overcome the heart rate variability problem while...
Methodologies of deriving phase information from pulsatile intracranial pressure (ICP) signal and characterizing its phase coordination with electrocardiogram (ECG) signal were discussed. The application of ICP phase characterization methods to data from several clinical contexts showed that 1) Unstable periods of ICP were associated with a decreased ICP phase coordination with ECG; 2) Surgical treatment...
Automatic detection of microcalcifications in mammograms constitutes a helpful tool in breast cancer diagnosis. Radiologist's confidence level on microcalcification detection would be improved if a probability estimate of its presence could be obtained from computer-aided diagnosis. In this paper we explore detection performance of a simple Bayesian classifier based on Gaussian mixture probability...
The extravascular matrix is believed to carry negative charge due to its glycosaminoglycans (GAGs) composition. In the present study, we developed an electrodiffusion-convection model to investigate the mechanisms by which this negative charge affects the charged molecule transport through the interstitial space. The model predictions demonstrate that the apparent tissue diffusion coefficient of negatively...
The maintenance of adequate anesthesia is very important for animal studies. This goal could be achieved if the pharmacokinetics of the anesthetic is known and a well-controlled instrument system is used. To this end, a graphic control system is developed to study the effects of sodium pentobarbital on anesthesia. Hemodynamic signals such as mean blood pressure, pulse pressure, heart rate were analyzed...
In this paper, we present three different compartmental models to model the pharmacokinetics of Indocyanine green (ICG) in cancerous tumors. We introduce a systematic and robust method to analyze ICG pharmacokinetics based on extended Kalman filtering (EKF) framework. We introduced information theoretic criteria for best compartmental model selection in terms of statistical fit. We tested our approach...
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...
TNFalpha stimulates SPHK in the monocyte, which leads to the expression of adhesion molecules on the cell surface. The adhesion of leukocytes to the endothelium is one of the early stages of the onset of atherosclerosis. In this paper, we have delineated the TNFalpha-induced and SPHK-dependent signaling pathway. In addition, we have developed a biomathematical model to qualify the SPHK time-dependent...
A novel advisory system, the Anesthesia Advisory Display (AAD) has been recently developed. It displays information about actual and future predictions of anesthetic drug concentrations mapped to clinical end-points such as BIS, basing on the actual infusion rate combined with population pharmacokinetic and interaction pharmacodynamic (PKPD) models. According to the large variability observed among...
To enhance the student training and scientific research of biomedical engineering (BME) department of Tsinghua University, we investigated the top three universities on BME in US, which are John Hopkins University (JHU), Georgia Tech and Emory University (GTEU) and the Harvard & MIT Division of Health Science and Technology (HST). We also investigated the department of medical physics and bioengineering...
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