Issue 10 Volume 41 May 16, 2003

functionality that can be dynamically changed or extended. As a practical implementation of the elaborated architecture a
realtime ECG system was developed and its performance parameters were investigated. A set of implemented components
includes several realtime data acquisition modules, fast visualization and printing components as well as noise suppression and
QRS detection and survey modules. The modular structure of the application with support of transparent integration of new
components enabled us to develop additional add-on modules for carrying out specific experiments with ECG transmission
methods.
DTIC
Computer Programming; Data Acquisition; Electrocardiography; Real Time Operation; Distributed Processing; Architecture
(Computers)
20030034617 Seville Univ., Spain
Virtual Center for Renal Support: Definition of a Novel Knowledge-Based Telemedicine System
Prado, M.; Roa, L.; Reina-Tosina, J.; Palma, A.; Milan, J. A.; October 25, 2001; 5 pp.; In English
Report No.(s): AD-A410409; No Copyright; Avail: CASI; A01, Hardcopy
The Biomedical Engineering Group of the University of Seville (GIB) is developing new strategies to apply the home
health care program within End Stage Renal Disease (ESRD) Patients. In this paper we first review the current status of ESRD
patients in Spain, Europe and USA. In the second part, the formal definition of the novel Virtual Center for Renal Support
(VCRS) is done, Design of VCRS relies on a model-based system analysis methodology. The knowledge-based assistance to
be provided by VCRS is carried on the Patient Physiological Image Component (PPI Component), This is a computing
component based on cutting-edge Modelling & Simulation Technology, which gives the physician the ability to predict clinical
events, infer technical and physiological problems, compute no previously measured variables and is also an aid for diagnosis,
prescription and supervision of therapies.
DTIC
Telemedicine; Kidney Diseases; Knowledge Based Systems
20030034632 NATIONAL YANG-MING UNIV TAIPEI (TAIWAN)
An Orthopedics Clinic Assistant System
Tang, Shih-Tsang; Huang, Yueh-Fang; Hsiao, Ming-Liang; Lee, Tsung-Chieh; Young, Shuenn-Tsong; October 25, 2001;
3 pp.; In English
Report No.(s): AD-A410343; No Copyright; Avail: CASI; A01, Hardcopy
This research proposed a system, which integrated the complete patient information, including the medical images, for
assisting orthopedics clinic diagnosis. The system concurrently operated with legacy systems and conformed itself to
correspond with the current environment. It was unnecessary to modify the present systems for our system implementation.
The system resulted in minimal impact to the current healthcare institutes, and promoted the communication of medical
images among departments. It offered a valuable reference for PACS implementation.
DTIC
Information Systems; Orthopedics
20030034643 Bogazici Univ., Istanbul, Turkey
Feature Extraction from Mammographic Mass Shapes and Development of a Mammogram Database
Ertas, G.; Guelcur, H. O.; Aribal, E.; Semiz, A.; October 25, 2001; 5 pp.; In English; Original contains color illustrations
Report No.(s): AD-A410302; No Copyright; Avail: CASI; A01, Hardcopy
Breast cancer is one of the most common malignancies in women and a rare malignancy in men. Women who are
diagnosed at an early stage can survive this often deadly disease. Mammography provides the best screening modality for
detecting early breast cancer, even before a lesion is palpable. Because of the malignant mass pathology, the shape of the
mammographic mass can be used to discriminate between malignant and benign masses. In this study the use of shape features
to classify breast masses has been investigated and a classification scheme has been developed to classify masses as either
benign or malignant. A mammogram database designed to store the images of the masses, calculated shape descriptor
parameters and some additional data, such as patient history, category of the mass and biopsy report if performed which are
required in BI-RADS is also introduced A touch on memory system has been used as a tool that permits access to the electronic
patient record in the mammogram database. The software is written in Delphi and runs on Windows operation systems.
DTIC
Mammary Glands; Pattern Recognition
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