ABSTRACT
In these days, computing environment turns to web environment and a lot of hospitals build information system. A medical services through the web provide patients and doctors with convenience and help experts to communicate with each other. Initially, web provided static text information, but nowadays needs of interactivity between client and server is increasing. In order to diagnose heart diseases, we use 12 channel ECG, stress ECG, holter ECG, etc. These data are a lot of correlation with each other but there are little system managed them with integration. To enhance management efficiency and share medical information, it is necessary to develop integrated ECG management system based the web. In this paper, we use common object request broker architecture(CQRBA) to implement the system. The CORBA is to apply object oriented concept to web. We can implement application easily and reduce costs to maintain and repay because server objects and client objects exist independently. We developed a System to integrate these data using network and to raise management efficiency. we focus on the performance of object web and the implementation of ECG management system based on the web.
Subject(s)
Humans , Electrocardiography , Heart Diseases , Information SystemsABSTRACT
When difficulties occur during anesthesia and the management of intensive care patients, there may not be sufficient time for frequent, accurate and detailed recordings which are essential for medico-legal purposes and the retrieval of information. However, it is during such occasions that the collection of an accurate, detailed record may be nearly impossible. A system, bases on the 16bits microcomputer linked to a Datascope 2000, has been developed to collect cardiovascular data on line from a cardiovascular monitor. The computer can be operated by using the main anesthetic record program written in a C language which enables the interrupt facility in the microcomputer and interface card to detect and store data transmitted from the Datascope. Patient's details are entered by manipulating function keys on the keybord. All information is stored on a disc for subsequent analysis. A formed graph and text can be displayed on the screen. The graph and all the information entered can be printed out at the end of the operation to form a complete anesthetic record.
Subject(s)
Humans , Anesthesia , Critical Care , MicrocomputersABSTRACT
We have developed a real-time arrhythmia detection system using four vaviables;heart rate, QS width, morphology and axis. Because of difficulties in real-time operation on the frequency domain, time domain process are carried out. The sampling rate of the ECG signal is 240/sec by using 12 bit A/D converter and we design digital comb filter to avoid 60Hz AC interference and DC drift. The band width of the digital comb filter is 1.79 Hz and Q is 64. To design a QRS detection logic, an 8 to 20 Hz bandpass filter is design on the basis of the power spectrum of the QRS complexes derived from the simulators and patients'data. By feeding the filter output into an adaptive threshold comparator, no detection of false QRS or T waves are found, and an accurate heart rate detection is obtained.
Subject(s)
Animals , Arrhythmias, Cardiac , Axis, Cervical Vertebra , Comb and Wattles , Electrocardiography , Heart Rate , LogicABSTRACT
We designed software system to detect intermittent arrhythmia from the patients automatically. To overcome the difficulties on real-time processing, we used four variavles; heart rate, QS width, morpholigy and axis. Templete generation routine was designed to produce patient's individual normal ECG pattern and store in the computer. The most important point of automatic detection is to discriminate the Q and J point. It is done by linear phase differentiation, the point that five point gradient is within a minimum value of 6Hz curve gradient is defined as Q and J points. The morphology calculation is simplified by simple addition and substraction, making real-time processing by modified cross correlation method. We find that both value of morphology and QS width will be used as a parameter of datermining the abnormalities of ECG signal automatically.