ICS Dr. G. Roscher GmbH
[Industrial]
R&D
Am Kirchberg 6
D - 39326 Klein Ammensleben
| Telephone | Tel.: +49 39 202/52 12-6 |
| Fax | Tel.: +49 39 202/52 12-8 |
| Email | ICS_Roscher at t-online dot de |
| URL | www.icsroscher.de |
Research Objectives
Description of the ICS Dr. G. Roscher GmbH
The ICS Dr. G. Roscher GmbH (ICS - Intelligent Computer Systems) is a SME in Klein Ammensleben near Magdeburg. Magdeburg is the capital of Sachsen-Anhalt, one of the new German countries. ICS was founded in 1991, to develop, manufacture and trade Intelligent Computer Systems for medical and industrial applications.
URL: http://home.t-online.de/home/ICS_Roscher/ or www.ICSRoscher.de
E-Mail: ICS_Roscher@t-online.de
The topic is the patented method for real time recognition of noisy biological signals.
The EEG system BrainScope consists of efficient algorithms implemented for a powerful multi-processor system that recognizes EEG activity as Event Related Potential (ERP) in real-time. These methods are integrated into a powerful graphic user interface and use a database and knowledge management system. Incorporated into this user interface are state of the art EEGSYS algorithms from the NIMH (Washington / USA) for mappings, FFT, etc. A video-system is integrated in the system for watching a patient.
The ECG system HeartScope is based on the technology of the BrainScope. With the HeartScope a physician can recognize the electrical activity of the heart in the dynamic in time and space in real-time.
Portable devices - PhysioCord - using low power technology can store, recognize and transmit biological signals as the ECG wireless and in open field.
The real-time recognition is realized by using the following methods:
- Patented method for real-time recognition of EEG (and other noisy signals),
- Neural Networks for feature extraction,
- Fuzzy-logic for pattern recognition,
- Evolutionary algorithms for classification,
- Dynamic lists for internal management of signal description in real-time,
- Database systems for external management of signal description and clinical data,
- Knowledge Management Systems for the acquisition of the knowledge of the experts.
The strategy of our R & D activities is oriented on the application of IST and is developed from signals, signal acquisition, classification and recognition in to knowledge, administered by the Knowledge Management System (KMS), designed as communicative system, acquiring the knowledge from the leading experts. Users of the high performance systems for real-time signal recognition are Universities, research institutes and private clinics in Germany. In the last years we are going in the European market, especially in Switzerland.
The ECG-devices are used by international well known pharmacological enterprises.
From 1991 to 1997 ICS worked in the Innovation Founding Center Magdeburg. The success of the enterprise gives the chance to build the own building in Klein Ammensleben near Magdeburg in 1997.
References
1. G. Roscher: Informationsprozesse in technischen Systemen - Modelle und Methoden zur Erforschung des menschlichen Denkens. In Maas, J. F. Das sichtbare Denken, Modelle und Modellhaftigkeit in der Philosophie und den Wissenschaften. Rodopi 1993, S. 153 - 179. http://www.ICSRoscher.de/maas.htm
2. G. Roscher, W. M. Herrmann, K. Henning, D. Wendt, S. Fechner, F. Godenschweger, C. Weiß, E. Abel, A. Rijhwani, J. Martinez, N. Dahan, A. Karavas: Real-time recognition of EEG-activity as basic for a new strategy of psychopysiological experiments gives new insight in information processes in man. Clinical applications of advanced EEG data processing. Rome, May 8-9 1995, p. 47. http://www.ICSRoscher.de/Rom.htm
3. G. Roscher: Mustererkennung in komplexen Signalen in Echtzeit durch die Anwendung der Methoden der Künstlichen Intelligenz und den Einsatz leistungsfähiger Multiprozessorsysteme. Forschungsbericht der DFMRS 1996, ISSN 0944-694X, p. 77-94. http://www.ICSRoscher.de/DFMRS.htm
4. G. Roscher, G. Pogrzeba, D. Emde, F. Neubauer: Application of a Multi-Processor System for Recognition of EEG-Activities in Amplitude, Time and Space in Real-Time. In: E. H. D’Hollander, G. R. Joubert, F. J. Peters, U. Trottenberg (Eds.): Parallel Computing: Fundamentals, Applications and New Directions. 1998 Elsevier Science B. V. p. 89-96. http://www.ICSRoscher.de/Parco.htm
5. G. Roscher; A. Brattström; S. Cho; F. Francesconi; H. Hinrikus; R. Mauser; M. Packianather; G. Pogrzeba; A. Yankovskaya; V. Zvegintsev: Real-time Recognition of ECG by Using Powerful Information and Communication Technology for Intelligent Monitoring of Risk Patients. VDE-Verlag, Proceedings Volume 2, MICRO.tec 2000, Applications, Trends, Visions, VDE World Micro-technologies Congress, September 25.-27. 2000, EXPO 2000, Hannover, Germany, p. 759-762. http://www.ICSRoscher.de/EXPO2.htm
6. G. Roscher et al.: CAEPS - Computer Aided Environment Protection System. Expression of Interest, Sixth Framework Programme of the European Community for research, technological development and demonstration activities. June, 7. 2002. http://eoi.cordis.lu/docs/int_37066.pdf
7. G. Roscher et al.: PatiMon - Patient Monitoring. Expression of Interest, Sixth Framework Programme of the European Community for research, technological development and demonstration activities. June, 7. 2002. http://eoi.cordis.lu/docs/int_37068.pdf
8. G. Roscher et al.: RecoPhone - Recognition of Phonemes. Expression of Interest, Sixth Framework Programme of the European Community for research, technological development and demonstration activities. June, 7. 2002. http://eoi.cordis.lu/docs/int_37066.pdf
Research Keywords
EEG, brain research, life like perception systems, signal recognition, real-time