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Biomedical subjects

C Eswaran

Publications and source records attributed to C Eswaran.

4 recordsLinked to original sources

Automatic detection of intraoperative neurological injury.

Neurological injuries occurring during high-risk surgical procedures can be detected by monitoring intraoperative evoked potential signals. In this communication, an automatic injury detection algorithm is proposed in which the EP signal is modeled as a pole-zero filter and then the model parameters are applied as inputs to a classifier type neural network. A recognition rate of 96% is achieved using an experimental model of brain injury.

Algorithms↗

An ECG classifier designed using modified decision based neural networks.

In this paper, a neural network based generalized software system is presented for automatic analysis of electrocardiograms (ECGs). The proposed system is capable of intuitively diagnosing the disease from the ECG using the knowledge acquired from the training. A modified decision based neural network which converges in a finite amount of time is employed. The training procedure used automatically varies the size of the network. The system is capable of being trained even without an expert's supervision. The physician can correct the network as and when a misclassification occurs, thus making the system less error-prone as time passes. The proposed system has been tested using an ECG data base representing different cardiological conditions such as bundle branch blocks and infarctions. The system is capable of detecting different types of arrhythmias also.

Algorithms↗

Sequence data analysis reveals a relationship between LSR2, the recombinant fusion protein mimicing M. Leprae and VIF of bovine immunodeficiency virus (BIV).

In the course of computer simulation study looking for active sites for the interaction between MHC II and T7--a 12 residue long peptide of LSR2--a recombinant fusion protein mimicing the native bacillus M.Leprae--an interesting relationship between the antigenicity of LSR2 and VIF of BIF has come to light. Computer analysis study has revealed this stretch of residue from 36 to 48 of LSR2 is highly antigenic. The experimental observation seems to confirm the role of this 12 residue peptide in antibody response. In an effort to determine whether a significant sequence level relationship exists between this and any other known protein, the sequence homology of both protein and nucleic acid was studied. It is found that this 12 residue long peptide (T7) of LSR2 is homologous with Viral Infectivity Factor (VIF) of the Bovine Immunodeficiency Virus (BIV). Homology with translated nucleic acid sequence also indicate the same fact. The VIF gene which codes for this protein is known to be essential for ability of cell-free virus preparation to infect cells. These results lead to the question--whether this 12 residue long peptide which is common to both proteins play a role in their infectivity. Whether mutations in the peptide or elimination of this peptide from the protein and studying the effect of this on the diseases themselves may help in controlling them is another important question relevant to medical researchers.

Animals↗