13D061BSP - Biomedical Sensors

Course specification
Course title Biomedical Sensors
Acronym 13D061BSP
Study programme Electrical Engineering and Computing
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition No prerequisite
        The goal Introduction to basic principles of cell and tissue bio signals conversion to electrical signal for further processing and application in diagnostics and treatment.
        The outcome Application of basic principles of bio signals to electrical signal conversion in signal processing and diagnostics.
        Contents of lectures Bio signal detection at the molecular level: metal ions and viruses detection, intercellular processes. DNA detection. Bio receptors for specific chemical complex recognition – laboratory on chip. Electronic nose and artificial eye. Personalized Diagnosis. Application: medicine, industrial processes control, pharmaceutical industry, microbiology, environment protection, military applications.
        Contents of exercises Laboratory work, student projects
        1. T. Togawa, T. Tamura, P. A. Oberg, "Biomedical Sensors and Instruments", Taylor and Francis, 2011. (Original title)
        2. H. Yu, M. Yan, X. Huang, "CMOS Integrated Lab‐on‐a‐Chip System for Personalized Biomedical Diagnosis", John Wiley & Sons, 2018. (Original title)
        3. D. Tosi, G. Perrone, "Fiber-Optic Sensors for Biomedical Applications", Artech House, 2018. (Original title)
        4. J. X. J. Zhang, K. Hoshino, "Molecular Sensors and Nanodevices: Principles, Designs and Applications in Biomedical Engineering", Elsevier, 2014. (Original title)
        5. B. D. Gupta, A. M. Shrivastav, S. P. Usha, "Optical Sensors for Biomedical Diagnostics and Environmental Monitoring", Taylor & Francis, 2018. (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        Methods of teaching Lectures, LAB, projects and research.
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures 10 Test paper 30
        Practical lessons 20 Oral examination
        Colloquia 40