A web-based tool for biomedical signal management

Abstract

The paper deals with the implementation and development of web-based platform, named WebSA 2.0, oriented to management of biomedical signals within a database. It comes from the need to create a space which makes easier sharing of biomedical signals from different sources whose are under digital processing for supporting biomedical research. The use of web technology with that purpose permits to enlarge the scopes of the system, as well as to add valuable services of any I+D environment. Four types of biomedical signals are considered: Cry signal, electroencephalogram signal (EEG), electrocardiogram signal (ECG) and electroculogram signal (EOG). The performance of the collaborative web-based system was tested within the intranet and for several Windows standards with satisfactory results. The WebSA 2.0 system could be useful for any research situation in which the digital processing of different biomedical signals be involved.