RF TELEMETRY FOR MEDICAL APPLICATIONS

BTE518

Course Code: BTE518
Semester: -
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

What is Telemetry Learn It
Gains Knowledge About Telemetry Device Design
Gains Knowledge of Numerical and Experimental Techniques for Body Field Electromagnetic and Inductive Coupling.
Have information about Wearable Health Systems.

Mode of Delivery

Prerequisites

Recommended Optional Programme Components

Course Description

Within the scope of this course; Telemetry Device Design, Numerical and Experimental Techniques for Body Field Electromagnetic and Inductive Coupling, Wearable Health Systems are explained.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to Biomedical Telemetry
2^nd Week	Design Evaluation of Biomedical Telemetry Devices
3^rd Week	Detection Principles and Technologies for Biomedical Telemetry
4^th Week	Power Issues in Biomedical Telemetry
5^th Week	Clinical Applications of Body Sensor Networks
6^th Week	Numerical and Experimental Techniques for Body Field Electromagnetic and Inductive Coupling
7^th Week	Intrabody Communication
8^th Week	MIDTERM EXAM
9^th Week	Optical Biotelemetry
10^th Week	1Biosensor Communication Technology and Standards
11^th Week	Wearable Healthcare System Paradigm, Epidermal Sensor Paradigm: Inner Layer Tissue Monitoring
12^th Week	Implantable Healthcare System Paradigm, Digestible Healthcare System Paradigm for Wireless Capsule Endoscopy
13^th Week	Stimulator Paradigm: Artificial Retina, mHealth-Integrated Systems Paradigm: Diabetes Management
14^th Week	Advanced Material-Based Sensing Structures

Recommended or Required Reading

Nikita, K. S. (Ed.). (2014). Handbook of biomedical telemetry. John Wiley & Sons.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	84	84
Preparation for Quiz	1	16	16
Individual or group work	0	0	0
Preparation for Final exam	1	24	24
Course hours	14	3	42
Preparation for Midterm exam	1	11	11
Laboratory (including preparation)	0	0	0
Final exam	1	96	96
Homework	1	12	12
Project	1	12	12
Total Work Load			297
Total Work Load / 30 (h)			9.9
ECTS Credit of the Course			10

Language of Instruction

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4
K1	X	X
K2			X	X
K3		X
K4		X
K5			X	X
K6			X	X
K7	X	X	X	X
K8
K9