Master Thesis Expose (craciun Andreea) [606084]

1 School of
HCIT – HEALTH CARE IT
Primoschgasse 10
9020 Klagenfurt , Austria

Proposal

Master Thesis

Crăciun Andreea -Ioana, 1510310005

Klagenfurt, 1st December 2016

2 Title of the Master Thesis
Monitoring platform for biomedical sensors
Author
Crăciun Andreea -Ioana
Primary Supervisor
FH-Prof. DI Dr. Johannes Oberzaucher
School of Health Care Information Technology
Carinthia University of Applied Sciences , Primoschgasse 10 , 9020 Klagenfurt , Austria
Tel. +43 (0)5 90500 -3234, Email: j.oberzaucher@fh -kaernten.at
Secondary Supervisor s
Dipl. -Ing. Christian Lederer
CISC Semiconductor GmbH
Lakeside B07 , 9020 Klagenfurt , Austria
Tel. +43 463 508 808 48 , Email: [anonimizat]

Dipl. -Ing. Jürgen Thierry
School of Health Care Information Technology
Carinthia University of Applied Sciences , Primoschga sse 10, 9020 Klagenfurt , Austria
Tel. +43 (0)5 90500 -3226, Email: j.thierry@fh -kaernten.at
Subject Group for the Master Examination
Ambient Assisted Living
Formulation of Problem (Object of Research/Investi gation )
Bio-signal monito ring, as well as recording , become essential role players of the modern medical
providers, although from todays technical point of view a universal solutions cannot be found. The
object of this master thesis investigation is to reveal the importance of components
intercommunicat ion, as well as solving some security issues and gather essential data to solve the
biomedical problem of rheumatic heart disease diagnosis in particular .
Rheumatic heart disease is one of th e biggest causes of heart failure among children, as the estimation
of deaths raise up to 460 000 across globe per year. The diagnosis is hard to be make on children
because it involves procedures such as chest X -ray or echocardiograms, as well as children goi ng
regularly to hospital for analysis and also taking invasive procedures with a specific dose of radiation.
This might cause some problems, as the common age at which rheumatic fever strikes varies between
5 and 15 years old.
Goals and Purposes of the Thesis
The objectives of the project are therefore finding proper solution s for gathering and including all
the necessary data in a secure platform, as well as writing the algorithm for detection of rheumatic
heart disease and proper alarming of the medical s taff. Furthermore, environmental knowledge
gathering is an important aspect for such a model. For this purpose can be integrated several specific
sensors by construction of a dynamic prototype, assembled from an Arduino/Raspberry Pi
microcomputer. The biom onitoring system should also be cheaper than going to the hospital and
taking analysis su ch as X -rays, blood tests, etc., as well as having special use case of alerting the doctor
(parameters out of range) and h aving a stable background algorithm .

3 Methods and workflow
For the biomonitoring platform, several hardware components will be used for both the measuring
device and the web -holding platform. The software requirements include the web socket to push the
data from the sensor s, the sensor firmware to communicate with the microcomputer , as well as
gathering the data. Therefore , the software and system requirements include the processing units:
Arduino and Raspberry Pi, communicating sensors and the wireless sensors. Sensors to collect signals
such as EK G will be connected to the Arduino, as well as sensors for the parsing of the data via a
wireless connection. Testing will be necessary in order to decide proper sensors selection for both
collecting and sending of the data. In realizing a functional model , synchronization between all
components is crucial. The device will also hold some part of the algorithm and its own firmware.
The master thesis will be divided into two parts:
• CISC via communication protocol and servers to maintain a secure web inter face for displaying the
data (using Raspberry Pi)
• FH via sensors, gathering data, algorithm for rheumatic heart disease and testing of the device (using
Arduino)
Main work packages will be related to research on the biomedical topic, sensor selection for the
monitoring device, server platform, communica tion protocol, storage and processing algorithm .
Furthermore, t he master thesis will include main tasks, such as: research on state of the art for
biomonitoring solutions , user description and functionality description , sensor selection and testing ,
research on the illness and functional parameters , research on algorithms in literature , develop ment
of a proper algorithm , wireless hardware selection , sensor firmware for communication , server
implementation , user interface and data storage , data present ation , final testing , results and possible
improvements , documentation and master thesis writing .
This can be gathered into the following milestones:
 Milestone 1: Sensor Selection
 Milestone 2: Sensor Firmware
 Milestone 3: Rheumatic heart disease algorithm
 Milestone 4: Communication protocol
 Milestone 5: Server and information storage
 Milestone 6: User Interface
 Milestone 7: Testing
 Milestone 8: Final Prototype
 Milestone 9: Master Thesis final documentation and writing
Contents of the Master Thesis
For the chapter organization, the following chapter proposal is to be given:

1. Introduction
1.1. Bio -monitoring solutions
1.1.1. Types of sensors and biomedical uses
1.1.2. Data collecting solutions
1.1.3. Commercial solutions
1.2. Rheumatic hearth disease
1.2.1. Description of biological changes
1.2.2. Diagnosis of rheumatic hearth disease
1.2.3. Current medical solutions for children
1.3. Online medical platforms
1.3.1. Importance of online platforms
1.3.2. Interface use cases and issues
1.3.3. Commercial solutions
1.3.4. Current security issues

4 2. Methods
2.1. Bio -monitoring device
2.1.1. Description of sensors used
2.1.2. Wireless communication
2.1.3. Processing algorithm
2.2. Online platform
2.1.1. Web service implementation
2.1.2. Wireles s communication protocol
2.1.3. Processing algorithm
2.3. Solution description
2.3.1. ICF enriched PERSONA
2.3.1.1. General Information
2.3.1.2. Social Network
2.3.1.3. Health
2.3.1.4. Functional Level
2.3.1.5. Daily Schedule
2.3.1.6. User Needs
2.3.1.7. ICF Model
2.3.2. Use Case, Scenario and Task List
2.3.2.1. Tasklist
2.3.2.2. Task Matrix
2.3.2.3. Use Case & Scenario
2.3.2.4. Use Case Overview
2.3.2.5. Use Case Overview of other additional functions
2.3.3. User Interface Flow Diagram
3. Results
3.1. Stability of platform
3.2. Test accuracy
3.3. Data c ommunication issues
4. Discussion
4.1. Overview of the results
4.2. Issues solved
5. Conclu sion
5.1. Current use of the platform
5.2. Future directions
Table of Abbreviations
Table of Figures
Table of Tables
Bibliography
6. Appendix
6.1. Used Tools
6.2. Used Software
6.2.1. Programs
6.2.2. Source Code
6.2.2.1. Arduino
6.2.2.2. Rasperry Pi

5 Signatures of the Primary and Secondary Supervisors

_________________________ _________________________
FH-Prof. DI Dr. Johannes Oberzaucher Dipl. -Ing. Christian Lederer

_________________________ _________________________
Approval of the Head of School Dipl. -Ing. Jürgen Thierry