Laboratory for Biomedical Computer Systems and Imaging
The main goals we are pursuing are:
- understand and describe the physiological phenomena,
- use computer in modeling and understanding of physiologic relationships,
- monitor physiologic events, graphically display anatomic details and physiologic functions, visualize and represent biomedical signal and imaging data,
- develop standardized databases to evaluate performance and robustness of recognition techniques, and to study physiologic mechanisms,
- characterize data, and establish the detection criteria and recognition techniques to automatize as much as possible analysis of bioelectric patterns, the examinations, procedures, and medical practice in order to improve the quality and reliability of the examinations,
- interpret the data and the results qualitatively and quantitatively,
- develop performance measures and protocols to evaluate detection techniques,
- develop biomedical information technologies and software,
- dynamic web-interface creation,
- responsive web design,
- responsive information visualization.
An important contibution of the Laboratory for Biomedical Computer systems and imaging is developed Term-Preterm ElectroHysteroGram DataBase (TPEHG DB) in 2008. The aim of the TPEHG DB is development of techniques to predict preterm delivery. The TPEHG DB is freely available. In 2010 we also published the TPEHG DB on Physionet.
Another important contibution of the Laboratory for Biomedical Computer systems and imaging is developed Term-Preterm ElectroHysteroGram DataSet with Tocogram (TPEHT DS) in 2017. The aim of the TPEHGT DS is development of techniques to predict preterm delivery. The TPEHGT DS is freely available. In 2018 we also published the TPEHGT DS on Physionet.