Biomedical Signal Analysis Laboratory  
 
     
       
   
Developing a WWW-based Oracle Front-End Program for the Medical Signal Database
 
ZhenHuan Chi(Jane), Simona Crihalmeanu, Lan Guo
 

The Front-end Program is an application providing a friendly graphical user interface (GUI) with easy-to-use tools like buttons, forms, and tables and allowing users to access our back-end Oracle medical signal database via the Internet. The purpose of developing such an application is two-fold. First, the Front-end Program is a window for the Biomedical Signal Analysis Laboratory (BIOSAL) to share information with the society. By publishing across the Web, the research data we obtained in the laboratory can become valuable and utilizable for others. Second, on the internal side, the Front-End Program facilitates the lab employee, who is not necessarily familiar with the details of manipulating Oracle database. Thus the program provides three levels of access. The lab employee has the full accessibility to the whole database table space and the full object privileges. General public are allowed viewing only part of the database, the information we would like to share with them. WVU students in certain classes can have see more of our database than general public yet with lot of less privileges than those granted to the lab employee. We set up Developer 2000 as two-tiered (Figure 1) and Oracle Web Application Server (OWAS) as three-tiered configuration (Figure 2) in our development.

 
Figure 1. Configuration of two-tiered structure (i.e. Developer 2000)
 
Figure 2. Configuration of three-tiered structure (i.e. Oracle Application Server)
 
We install Developer 2000 and OWAS on NT front-end computers as the “fat client” and application server, and use HP 9000 as the Database server. All our medical signal database are stored in HP 9000 as a series of Oracle tables referencing each other. The key table is the ECG_Signal which records the signal as Oracle Large Object. The others provide supporting information on the signal collector, the subject, the location, the property, the channel information, and the abnormal cardiac events occurred within the signal sequence.
 
Research Topics
 
Separation of Ventricular Tachycardia and Ventricular Fibrillation Using Two Unipolar Electrograms
 
Detection Algorithms in Implantable Cardioverter Defibrillators
 
Ventricular Tachycardia Versus Ventricular Fibrillation: Discrimination by Current Antitachycardia Devices
 
Chronic Bipolar Intraventricular Electrograms Are Stable During Changes in Body Position and Activity: Implications for Antitachycardia Devices
 
Ventricular Fibrillation Detection
 
Arrhythmia Classifier
 
Web Based Medical Signal Database
         
    Director: Dr. Stephanie Schuckers    Clarkson University    West Virginia University

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