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.
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Notes
- 1.
Medical equipment developed by the Cuban Institute for Digital Technologies, and located in many Cuban hospitals.
- 2.
There is a link to MediCry 1.0 (MySQL database with all clinical and biomedical information of newborn babies whose cries were previously recorded), and to the CryTrainer 1.0 (it is a web-based trainer oriented to learn how to read spectrograms of infant cry signal with potentials for newborn diagnosis).
- 3.
WebSA on Cry (or WebSA 1.0) was developed in January 2007 by CENPIS researchers for cry signals only.
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Acknowledgements
Part of this research was made thanks to the financial support derived from the Webbasierte FuE-Plattform Zur Signalanalyse Project (WebSA) in collaboration with the University of Applied Sciences from Dusseldorf, Germany and the INAOE (México).
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Cano-Ortiz, S.D., Langmann, R., Martinez-Cañete, Y., Lombardia-Legra, L., Herrero-Betancourt, F., Jacques, H. (2018). A Web-Based Tool for Biomedical Signal Management. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_71
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DOI: https://doi.org/10.1007/978-3-319-64352-6_71
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