ICS Dr. G. Roscher GmbH
Real-Time Analysis of the ECG
is a civilization disease with a high risk of fatality especially in industrial
regions like Europe. At the same time, such industrialized regions exhibit
frequently high unemployment patterns coupled with stress related syndromes on
the persons considered which might contribute to such diseases. This is the
motivation for innovative product development using national and international
co-operation to overcome unemployment on the one hand and to recognize persons
under increased health risk on the other.
real-time recognition of the electrical activities of the heart, known as the
electrocardiogram (ECG), is a unique feature of the developed system which uses
powerful information technologies as its technical basis for continuous
monitoring of patients at risk, and recognizes critical situations in real-time
with highest accuracy. In addition, state-of-the-art communication technologies
are also used for the transmission of relevant data to present the risk
situation of the patient to a qualified physician for making decisions. The
scientific background for this work is related to the project "Methods of
Nonlinear Dynamic for analysis of the ECG, for risk stratification and therapy
assessment for heart patients", supported by the German Ministry of
Education and Research (Grant 13N7129).
ECG system HeartScope consists of a special amplifier system for high quality
signal detection in open field conditions. A high performance multi-processor
system which is capable of processing the huge amounts of data produced by a
multichannel ECG record to gain information in real-time has also been
developed. Algorithms for recognition of events are implemented in the first
level of the multi-processor system. We use high performance image processing
algorithms in the second level, interpreting the sampled values of each channel
as pixels of the image, 256 up to 2.000 times per second. This new and patented
method is based on information theory and describes the ECG activity as
sequences of so called virtual sources in parameters of amplitude, time and
logic and methods of AI are used to define and recognise sequences of virtual
sources as QRS-complexes or heart beats in real-time. The network of two or more
Personal Computers (PC's) is co-ordinated through the GRID for presentation of
ECG activity and controlling. These methods are integrated into the powerful
graphic user interface and uses a database system. Incorporated into this user
interface are state of the art algorithms from the NIMH (Washington / USA) for
mappings, FFT, etc.
new ECG system HeartScope the
physician can recognise the electrical activity of the heart in the dynamic in
time and space in real-time.
physician can for example click on a significant ECG pattern (this makes it a
further recognisable phenomena through fuzzy logic) and correlate it with his
own observations. The multi-processor system recognises this ECG activity in the
ongoing ECG. The marked pattern up to the heart beat can be stored in a Data
Base System, can be named and used for the recognition of events the ongoing ECG.
Evolutionary strategies and fuzzy logic are used for Computer Aided
classification of the ECG. The physician can mark and name the recognised
classes for signal recognition procedures, worked in real time.