450-2017 – Biotelemetry (BTE)

Gurantor departmentDepartment of Cybernetics and Biomedical Engineering
Subject guarantorIng. Daniel Barvík, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
450-2017/01 2010/2011 2023/2024 3
450-2017/02 2015/2016 2021/2022 3
450-2017/03 2019/2020 4
450-2017/04 2019/2020 4

Subject aims expressed by acquired skills and competences

The aim of the course is to introduce students to the means, methods and technologies for the implementation of telemetric measurements of biological data and applications of telemetry in the fields of biomedical technology and remote home care system.

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

The course of biotelemetry is intended mainly for students of interdisciplinary bachelor's degree courses focusing on medical technology. Due to its interesting and practical content, the course can also be taken by students of other electrical engineering bachelor's degree programmes. The aim of the biotelemetry course is to introduce students to the possibilities and methods for transferring measured (not only) biological data to the target device for final processing over different distances using different transmission media and technologies. The course is designed to be as practical as possible so that the presented material is as far as possible subsequently verified in real tasks of measurement and subsequent transmission of measured signals. By biotelemetry we always mean the transmission of an electrical signal in which information about the measured (biological) quantity is encoded in some way. An integral part of biotelemetry is telemedicine, which currently allows the transmission of medical information, voice and image, over different distances. The data are transferred either between doctor and patient or between different medical units. Special applications of biotelemetry include remote monitoring systems for basic vital signs and remote home care systems.

Compulsory literature:

HU, Fei. Telehealthcare computing and engineering: principles and design. xix, 726 pages. ISBN 15-780-8802-X. GUANG-ZHONG YANG, Editor. Body sensor networks. Second edition. London: Springer London, 2014. ISBN 978-144-7163-749.

Recommended literature:

MAHEU, Marlene M., Pamela WHITTEN a Ace ALLEN. E-health, telehealth, and telemedicine: a guide to start-up and success. San Francisco: Jossey-Bass, c2001. ISBN 0-7879-4420-3.

Additional study materials

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.