Institut für Biomedizinische Technik
Fachhochschule Schmalkalden: Adaptive
Signalanalyse
Research Project
Developing a robust method to detect and characterize the effect of
micro-sleep episodes on the electrocardiogram
Motivation
Sleepiness while driving a car has been strongly related to episodes of micro-sleep
and subsequently accidents. Thy are strongly correlated to an increasing fatigue of
the subject and a monotonous driving environment. The micro-sleep events can be
investigated measuring the electrocardiogram (ECG).
In order to investigate and quantify how micro-sleep episodes can affect the normal
heart rate and the ECG morphology, an experiment was developed by a group of
scientist in Schmalkalden in cooperation with the company Caterpillar. 15 students
participated in the experiment where a driving simulator was used while their ECG is
being recorded.
Field of Research
Signal processing of
the ECG
Project
Supported by the german
state of BadenWürtemberg
Areas
Signal processing
Software programming
Algorithmic
Driving simulator
Field of Studies
Engineering
Computer science
Starting Date
November 2013
ECG
300
RR Time Series
Duration of RR−intervals [ms]
250
200
Amplitude
Contact
Dipl.-Ing. Gustavo Lenis
Geb. 30.33, Raum 507
Fritz-Haber-Weg 1
76131 Karlsruhe
150
100
50
0
−50
1000
950
900
850
800
12
12.5
13
13.5
14
14.5
Time [s]
15
15.5
16
16.5
17
0.1
0.2
0.3
0.4
0.5
Time [min]
0.6
0.7
0.8
0.9
Tasks
In this project, a robust algorithm for the detection and characterization of micro-sleep
episodes based only on ECG parameters should be developed. Different methods
presented in the literature together with new techniques should be implemented and
evaluated. Accurate features for the assessment micro-sleep events is the final goal.
Requirements
•
•
•
•
•
Literature research
Programming skills in MATLAB
Strong fundamentals of signal processing
Statistics and data mining
Ideally some fundamentals of cardiac physiology
Dr.-Ing. David Sommer
FH Schmalkalden
Gebäude B Raum 2.03
98564 Schmalkalden
eMail
[email protected]
[email protected]
Phone
+49 721 608-42791
+49 3683 688-4206
www.ibt.kit.edu