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PubMedDate not supplied

A microcomputer-based data acquisition system for a prosthetic heart valve test apparatus.

The hydrodynamic testing of prosthetic heart valves in the laboratory under pulsatile flow conditions remains the only way of obtaining detailed information about valve function. Test procedures have become increasingly sophisticated, with a variety of different test conditions and detailed analysis of the pressure and flow signals. A computerized data acquisition system has been developed for use with the Glasgow pulsatile flow test apparatus. The computer collects seven signals from the test rig over a period of 20 s, and calculates the average waveform for each signal. Standard parameters, such as mean pressure differences, mean flows, regurgitant volumes and energy losses, are calculated automatically. The complexity of the analysis and the need for standardized documentation makes computerization essential. The system has been used extensively for function tests on over 160 prosthetic heart valves.

Biomedical Engineering↗
PubMedDate not supplied

Computerized analysis of antimicrobial drugs interactions in biological systems using an IBM-PC microcomputer.

We have developed a computer program to analyse the individual and combined effects of two treatments applied concurrently to a biological system. Analysis is done in regard to: level of significance selected for the statistical test (two-sided Student's t test); number of data available; expected combined effect resulting from addition (computed by the program); experimental hypothesis tested (synergism or antagonism). The main program gives access to eight options: input of new data; input of data from file; addition or modification to data in memory; display on monitor the results from analysis or the contents of a data file; analysis with another level of significance; printout; kinetics of interaction; end of program. The program is designed to work with an IBM-PC, Epson MX/FX 80/100 printer and Roland DXY 800 plotter. Sample runs are given.

Anti-Bacterial Agents↗
PubMedDate not supplied

A microcomputer teaching and decision-support system for emergency medicine: use of hypermedia and artificial intelligence in combination.

Hospital emergency units are submitted to a continuous intensive and polyvalent practice of medicine. In addition to the few experienced physicians, the medical staff is often made up of young and unskilled students and residents. The ability to reach at any time a wide and flexible knowledge is of the utmost importance to improve the quality of care given to patients and to perfect bedside teaching. The purpose of this work was to present a computerized system, a kind of shell, using, in combination, artificial intelligence and hypertext/hypermedia tools. A modular architecture is presented integrating two entities: an illustrated encyclopedic hypertext network and several expert modules based on production rules concerning well-limited fields of medicine (basic clinical problem-solving, metabolic and acid-base disorders). An interface using the World Wide Web (WWW) will soon be proposed.

Artificial Intelligence↗
PubMed1990

Microcomputer-assisted telephone identification of plants in response to poison control calls.

Plant identification in response to poison control inquiries poses problems for medical staff and botanists alike. Lack of a specimen for verification combined with a limited description by an untrained lay person hinders confident identification of the plant. In view of these problems a computer identification system has been developed for use in answering poison control calls. A database has been compiled for 103 common houseplants described in lay terms, with respect to 56 features each possessing a number of possible states. The database is used with the MS-DOS polyclave program ONLIN6. Identifications are made by entering data for available features, so as to eliminate taxa until a single taxon remains. This system has been used in 112 mock calls in which the resulting identification could be checked. These trials resulted in correct identifications 65% of the time. Errors were attributed primarily to problems related to translation of character states into lay terminology. Revision of the database is planned that will eliminate these problems. Use of the system by hospital personnel is recommended only after graphics screens have been added to the database, and where staff have been specially trained in botanical terminology and in use of the ONLIN6 program.

Botany↗