A. Medical Electronics and Image Processing

Medical Image Processing

Gábor Kertész

Topics of the course are image processing fundamentals and object recognition: 

  • Image representation
  • Spatial filtering
  • Greyscale and colour images
  • Morphological image processing
  • Image segmentation
  • Colour object recognition

The course has theoretical as well as practical parts.

Electronic Basics of Hypertension Diagnosis

Drs. Jan Zijlstra

Assignment: A non-invasive accurate auscultatory blood pressure monitor will be built during this course and signal analysis is done on the computer. 

This one-week course consists of lectures and workshops.

Hypertension (serious elevated blood pressure) is the most serious attributing risk factor in the developed world (about 50% of the elderly people). The risk of developing hypertension is increasing with ageing. Early diag­nosis and treatment is essential in minimizing the effects.

Currently a lot of low-cost ‘household’ devices are available on the market, however a significant number of them with disputable accuracy. This may lead either to an undetected (or at least later) hypertension with higher mortality – in case the reading is too low, or to an unnecessary visit to the physician in case of a too high reading. The latter case is putting an additional to health care costs, due to the high number of hypertension cases. So more accurate devices result in a lower mortality and lower public health care costs.

In this course, the physiological background of the cardiovascular system and physical control processes of blood pressure are provided. Next the basics of non-invasive blood pressure measurement are presented. Basics of electronics and use of measurement devices during the workshops is given as well. Signals (pressure and Korotkoff) tend to be weak and disturbed by noise, so they have to be filtered and amplified. How this can be done by using operational amplifiers and filtering techniques will be part of the course.

Existing software will be used to analyse and interpret the recorded signals. The course consists of theoretical sessions in the morning and practical (group) workshops in the afternoon. Theory and practice are seamlessly coming together in this course. The test is to show an operating blood pressure monitor, using an improved standardized auscultatory method with correct signal analysis, which can be tested on the students themselves. In a final assessment the students report on their findings and demonstrate the acquired medical and technical competencies.

Biomedical Applications of Transducers, Microcontrollers and Related Electronics

Assoc. Prof. Dr. I. Cengiz Koçum, Mehmet Yüksekkaya, Ph.D.

Sensors and transducers are the eyes and ears of modern measurement instrumentation and control systems. Many types of machines and also medical instruments depend on transducers and sensors to provide input data about the environment. Widely used in both analog and digital instrumentation systems, sensors provide the interface between electronic circuits and “real world” where things happen.

Nevertheless, all the data have to be processed. The most common technology consists in the use of microcontrollers. So this course also discusses the programming model and basic features of microcontrollers and their application to biomedical instrumentation.

The goal of this course is to provide a representative overview of sensors, how they work, how they are applied and what basic electronic circuits are needed to support them. Further lectures and laboratory experiments cover the basic principles of hardware and software design for a microcontroller based system and interfacing biomedical sensors to microcontrollers are emphasized.

Course Outline:
Sensor and transducer principles. Common transducers for biomedical applications. Overview of PIC microcontroller, Basic MikroC programming for PIC microcontroller. Interface and related electronics of sensors and I/O devices for microcontrollers. Design of microcontroller systems for medical use such as design of a heart beat monitor and a digital thermometer.

DateCourse Syllabus
11.09. Transducer, sensor and related circuits with some applications.
12.09. Introduction to microcontrollers and embedded Design. PIC microcontrollers and MikroC programming language. Designing simple microcontroller applications.
13.09. Amplifier basics. Transducer to microcontroller interface and related electronics. Analog to Digital conversion using microcontroller.
14.09. A conductivity meter and digital thermometer will be built using microcontroller.