Biomedical subjects

R B Mishra

Publications and source records attributed to R B Mishra.

3 recordsLinked to original sources

PubMed1993

A knowledge based interpretation system for EMG abnormalities.

The conventional method of diagnosis in electromyography is complex and time consuming, not only due to the large number of parameters, to be considered for diagnosis, but also because of the usual procedure of evaluating the different parameters of EMG signal by visual scanning of the plotted signal. So there is a clear need to make use of computer aided decision support system. In the present work an attempt has been made in the direction of integration into one automated system, the qualitative knowledge of the physician, with possibly sophisticated signal analysis tools which must replace the visual scanning. A software program (in Turbo-C) on a PC-AT has been developed to evaluate the different parameters of MUAP's (motor unit action potential) in a EMG signal. Then an Expert system (in Turbo-Prolog) has been implemented for diagnostic purposes of different muscular abnormalities by making a knowledge base from the different parameters involved in the decision making procedure of clinical electromyography. A hybrid model of rule and frame based Expert system is implemented. An attempt has been made for making a complete system, i.e., for recording, analysis and decision making for diagnosis.

Diagnosis, Computer-Assisted↗

PubMed1992

A decision table and rule based interpretation system for epileptic discharges.

The representation of the various features of waveforms and their correlations, in EEG recording for the diagnosis of different diseases have been carried out by many researchers due to the impact of knowledge based on expert systems development tools and techniques. The realisation of these system requires a specific hardware and software tool for its implementation, which may be a costly affair. The design and development of low cost effective system for the diagnosis of epileptic patients have been reported in this paper. Two different and linked (at certain stage) approaches (i) decision table; (ii) rule based system have been followed to model the reasoning processes of physician in the diagnosis. In the decision table the features of specific waveforms of EEG are represented in the tabular form. The features are obtained from a 8086 microprocessor based data acquisition system. The rule based system is designed with IF and THEN form of rules using Turbo-Prolog as programming language tool and is implemented on low cost PC-AT. The results obtained are at an intermediate stage of data processing by decision tables and at the final stage being carried out by rule based model. The performance of the system is evaluated by recording of EEG of some epileptic patients. The results obtained are comparable and to a certain extend appreciable in the opinion of the physician.

Decision Support Techniques↗

PubMed1991

Microprocessor based detection of epileptic discharges.

Parametric and Non-parametric methods have been developed for the detection and interpretation of EEG data for normal and abnormal patients. These methods have been implemented on mainframe computers or dedicated microcomputers. The heuristic methods are suitable for implement on dedicated microprocessor based system as they involve less degree of computation in comparison to the parametric methods. In this work a microprocessor based system has been developed and heuristic pattern recognition technique has been applied, which is based on the measurement of amplitude, duration slopes etc. for the detection of spike and sharp waves as well as the different frequency band of background activity. The computed values of amplitude and durations are shown on the graphs from which the different symptoms based on EEG are determined.

Analog-Digital Conversion↗