450-2017/03 – Biotelemetry (BTE)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantordoc. Ing. Martin Černý, Ph.D.Subject version guarantordoc. Ing. Martin Černý, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER275 doc. Ing. Martin Černý, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Combined Graded credit 0+16

Subject aims expressed by acquired skills and competences

The goal of this course is to acquaint students with possibilities, methods and technologies for realization of telemetric measurements of biological parameters and to acquaint them with applications of telemetry in field of biomedical engineering.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs

Summary

The biotelemetry lessons are meanly intended for students of bachelor study branch of biomedical technology or engineering, but it can be attended by other students of electrical engineering bachelor and master study branches. In the course of biotelemetry students can learn about possibilities and methods for (biomedical) data transmission for different purposes, distances with different technologies. The course is designed practically as much as it is possible. Most of presented themes are verified by students in practical measurements. These measurements are similar to real today’s applications of biotelemetry. It is recommended to attend this course in higher years of bachelor study. Biotelemetry is concerned with transmission of quantity from the source into the distance where analysis, display is done. In medical science the transmission of electrical signal is meant where the information about the measured quantity is somehow encoded. The Telemedicine is an inseparable element, where the medical signal could be voice, verbal and especially visual for the distance between a doctor and patient or between the single medical workplaces.

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.

Way of continuous check of knowledge in the course of semester

It is required to attend at least 80% of the lessons. 100% participation is required for those exercises that will be performed in a remote home care lab. Protocols from the realization of a controled semestral project (max. 70 points, minimum 36 for obtaining the accredited credit). Written test (max. 30 points, minimum 15 for obtaining the accredited credit)

E-learning

Další požadavky na studenta

No other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: • Introduction to telemetry, historical development, eHeatlh and Body sensor networks • Basic design of the biotelemetric device, its components. • Data standards for data transmission in biotelemetric applications, communication protocols. • eHealth - Components, Specifications, Applications in Practice. • Body sensor networks - requirements, implementation, application in practice. • Remote home care systems, monitored signals (biological and nonbiological, human movements), applications in practice. • Home Automation Systems Implementable in Remote Home Care Systems, Components, Requirements, Method of Implementation. • Other telemetry applications in medicine (cardiology, drug control, etc.) • Introduction to signal processing capabilities and how they are interpreted to users of remote home care systems and biotelemetric solutions. • User privacy, GDPR. Laboratory exercises: During the laboratory exercises the students will work on a controled semestral project. The result of this project will be a functional telemetry device applied to a remote home care lab. The individual steps of the project are: • Design and telemetry devices using Arduino or similar development platforms to measure selected biological signals. • Selection and implementation of analog circuits to measure selected biological signals (single-conduction ECG or plethysmography or body weight or EMG, or inertial sensors and body temperature, or other types of bioscientists). • Digitalization of measured analog signals and transferring data to a personal computer using either USB or Ethernet. • Design and implementation of communication protocol, creation of software for visualization of measured data in a personal computer. • Implementation the chosen wireless technology (Bluetooth, Bluetooth Low energy, proprietary radio communication, Internet of Things). • Implementation of developed measurement system into remote home care systems - initial testing in the remote home care lab. • Practical tests with other measuring systems in a remote home care lab. Monitoring of the movement of people, work with remote home automation systems. • Design and implementation of test schemes to verify the benefits of telemetry facilities in a remote home care lab.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100 (100) 51
        Protocols from the implementation of the semester project Laboratory work 70  36
        Written test Written test 30  15
Mandatory attendence parzicipation: It is required to attend at least 80% of the lessons. 100% participation is required for those exercises that will be performed in a remote home care lab.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B0914A060001) Biomedical Technology P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0914A060001) Biomedical Technology K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner