Autors: Reljin I., Obradović Z., Popović M., Mladenov, V. M.
Title: New Methods for Analyzing Complex Biomedical Systems and Signals
Keywords: Biomedical Systems, systems, biomedical data

Abstract: In recent years, there has been significant progress in the applications of sensing devices in acquiring biomedical signals. Availability of big and/or high dimensional data obtained by new instruments inspired the development of novel information processing methods aimed at significantly improving the understanding of subtle and complex mechanisms of biomedical processes. Such data have proveduseful in diagnosis, prediction of health state, survival prognosis, and therapy optimization. New sensing devices generate precise signals, large-scale biomedical data which has opened challenging problems for managing, processing, storing, retrieving, transferring, and interpreting such data. Therefore, we have invited the researches to contribute their research on new algorithms and tools for modeling, processing, and analyzing complex biomedical signals. After rigorous review, this special issue accepted eleven articles on this topic which are summarized here.



    Complexity, vol. 2018, pp. 1-3, 2018, United Kingdom, Hindawi,

    Цитирания (Citation/s):
    1. Kaliappan, M., Manimegalai Govindan, S. and Kuppusamy, M., Automatic ECG analysis system with hybrid optimization algorithm based feature selection and classifier. Journal of Intelligent & Fuzzy Systems, (Preprint), 2022, vol. 43, issue 1, pp.627-642. DOI10.3233/JIFS-212373 (IF 1.737, Web of Science, Scopus) - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Web of Science