Biomechatronics and Bioengineering Research Group (GYBYB)

  • Ecuador

Organization profile

Organization profile

The Research Group on Bioengineering and Biomecatronics (GIBYB), arises from the initiative of a group of research teachers and has a multidisciplinary approach to provide both academic and operational structure to different activities and initiatives of research and technological development in the fields of biomedical engineering, diagnostic signal and image processing, computer vision, medical robotics and automatic control.

Currently, the GIBYB group, in collaboration with the different research groups of each of the UPS careers, has focused on the development of research, development and innovation projects applied to the health sector, thus directing its efforts towards solving real-world problems and developing technological and methodological tools to cover the needs of industrial and service companies, health institutions, the public sector and social organizations.

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    Research Output

    • 1 Citations
    • 1 h-Index
    • 1 Chapter
    • 1 Conference contribution
    • 1 Article

    Clasificación Automática De Nódulos Mamográficos Basada En Fusión De Información Multi-Vista

    Translated title of the contribution: Automatic Mammographic Nodule Classification Based on MultiView Information FusionNarvaez Espinoza, F. R., 26 Jun 2019, Clasificación Automática De Nódulos Mamográficos Basada En Fusión De Información Multi-Vista. Editorial Abya-Yala

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features

    Rincón, J. S., Castro-Ospina, A. E., Narváez, F. R. & Díaz, G. M., 1 Jan 2019, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Botto-Tobar, M., D’Armas, M., Zúñiga Sánchez, M., Zúñiga-Prieto, M. & Pizarro, G. (eds.). Springer Verlag, p. 617-629 13 p. (Communications in Computer and Information Science; vol. 895).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A Quaternion-Based Method To Imu-To-Body Alignment For Gait Analysis

    Narvaez Espinoza, F. R., 30 Jun 2018, In : Lecture Notes In Computer Science. 10917, 2018

    Research output: Contribution to journalArticle

    1 Scopus citations