ABSTRACT
After a study on the characteristic of ECG data, we propose here in this paper a lossless compression method of ECG data, which is based on JPEG2000. It integrates both 1D and 2D compression. The method has been verified through all forty-eight records in MIT-BIH Arrhythmia database. And the result shows that the method has a better compression rate and a good computational efficiency.
Subject(s)
Algorithms , Electrocardiography , Methods , Image Processing, Computer-AssistedABSTRACT
The positioning error in radiotherapy is one of the most important factors that influence the location precision of the tumor. Based on the CT-on-rails technology, this paper describes the research on measuring the positioning error in radiotherapy by comparing the planning CT images with the treatment CT images using 3-dimension (3D) methods. It can help doctors to measure positioning errors more accurately than 2D methods. It also supports the powerful 3D interaction such as drag-dropping, rotating and picking-up the object, so that doctors can visualize and measure the positioning errors intuitively.
Subject(s)
Humans , Imaging, Three-Dimensional , Radiotherapy , MethodsABSTRACT
This paper presents a typical Clinical Information System for ICU and its design and implementation. This system is able to capture and archive vital data from the monitor network, providing a whole digital solution in ICU. These vital data can be used in quantitative analysis in the computer-assisted decision support.
Subject(s)
Decision Making, Computer-Assisted , Information Systems , Intensive Care Units , Monitoring, Physiologic , Software DesignABSTRACT
Because of different display parameters and other factors, digital medical images present different display states in different section offices of a hospital. Based on CPI integration profile of IHE, this paper implements the consistent presentation of medical images, and it is helpful for doctors to carry out medical treatments of teamwork.
Subject(s)
Computer Simulation , Diagnostic Imaging , Integrated Advanced Information Management Systems , Medical Informatics Computing , Reference StandardsABSTRACT
There is not yet a universally acknowledged standard for all kinds of general medical waveform format encoding. Medical Waveform Format Encoding Rules (MFER) presented by Japanese IS&C Committee can parse and describe all kinds of routine medical waveform data. In this paper, MFER's working out, its present situation and characters are expatiated and MFER rules are interpreted in detail. MFER, medical waveform, standard
Subject(s)
Algorithms , Electronic Data Processing , Reference Standards , Signal Processing, Computer-AssistedABSTRACT
PACS (Picture Archiving and Communication System) is successfully applied in Huzhou Central Hospital, and is well integrated with its HIS system by WEBSERVICE middleware. The system supports DICOM 3.0 Standard, and DICOM gateways are installed for modalities that do not support DICOM so as to have implemented the digitalization of all the image departments in the hospital.
Subject(s)
Computer Communication Networks , Reference Standards , Radiology Information Systems , Software , Software DesignABSTRACT
The application of mathematical morphology to ECG signal processing is described in this paper and the prospects for the application of mathematical morphology are given too.
Subject(s)
Humans , Algorithms , Electrocardiography , Methods , Mathematical Computing , Models, Theoretical , Signal Processing, Computer-Assisted , SoftwareABSTRACT
This paper presents a survey of recent publications (published in 1990 or later) concerning segmentation and classification of medical images. These methods will be classified into six types: cluster (threshold), statistics methods, deformable contour, region growing, mathematics morphology, nonlinear methods (fuzzy segmentation, neural networks, genetic algorithm) and 3D model. Each of the major classes of image segmentation and classification techniques and several specific examples of each class of algorithm are described respectively in detail. At last, the developing trend of 3D medical image is also discussed.