Publications:

[25]

P. Kainz and H. Burgsteiner. On Information System Integration in Hospitals: A Quantitative Survey. Proceedings of the eHealth 2012, pp. 217-222, 2012. (PDF, 508 KB).

[24]

P. Danner, L. Schmid and H. Burgsteiner. Qualifizierte Identifikation von Gesundheitsdiensteanbietern unter Verwendung von Rollen im Gesundheitswesen. Proceedings of the eHealth 2011, pp. 289-296, 2011. (PDF, 239 KB).

[23]

M.T. Ma and H. Burgsteiner. Validating the Use of Gaming Console Sensors for Telemonitoring of Physiotherapy Exercises. Proceedings of the eHealth 2011, pp. 259-264, 2011. (PDF, 212 KB).

[22]

H. Burgsteiner, D. Wallner, H. Simi and E. Adamer-König. PeDIS Leistungsdatenerfassung - Design und Entwicklung eines leistungsdiagnostischen Informationssystems. In: K.P. Pfeiffer and H. Burgsteiner (Ed.): FH & Health Care Engineering. Graz: Leykam, pp. 183-189, 2011.

[21]

H. Burgsteiner and W. Jelinek-Krickl. Entstehung und Entwicklung der Studienrichtungen Health Care Engineering und eHealth mit Helfrid Maresch. In: K.P. Pfeiffer and H. Burgsteiner (Ed.): FH & Health Care Engineering. Graz: Leykam, pp. 171-181, 2011.

[20]

K.P. Pfeiffer and H. Burgsteiner. FH & Health Care Engineering. Graz: Leykam, ISBN 978-3-7011-0220-4, 2011.

[19]

H. Burgsteiner. turnPOINT - Wendepunkt in der Leistungsanalyse. Botenstoff 01.11, p. 18, 2011.

[18]

H. Burgsteiner, S. Sabutsch, and J. Morak. Interoperability. Workshop at the eHealth 2010 Conference, 2010.

[17]

H. Burgsteiner, S. Sabutsch, A. Kollmann and J. Morak. Communication and Integration of Health related Data in Electronic Health Records using International Medical Standards. Proceedings of the eHealth 2009, pp. 229-234, 2009. (PDF, 180 KB).

[16]

H. Burgsteiner, S. Sabutsch, S. Sauermann and A. Kollmann. Interoperability in Home-Care und Telemedizinanwendungen. Workshop at the eHealth 2009 Conference, 2009.

[15]

H. Burgsteiner. Leitfaden fuer wissenschaftliche Arbeiten bei Healthcare Engineering und eHealth. Zitier-, Referenzier- und Strukturempfehlungen. Technical Report (german), Graz University of Applied Sciences, 2008.

[14]

H. Burgsteiner, J. Prietl. A Framework for secure communication of mobile eHealth applications. Proceedings of the eHealth 2008, pp. 107-113, 2008. (PDF, 238 KB).

[13]

P. Auer, H. Burgsteiner, and W. Maass. A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks, vol. 21, pp. 786-795, 2008. (PDF, 216 KB).

[12]

H. Burgsteiner, D. Wallner. PeDIS - Design and Development of a Performance Diagnosis Information System. Proceedings of the eHealth 2007, pp. 129-132, 2007. (PDF, 383 KB).

[11]

H. Burgsteiner. A current opinion on learning in biological realistic spiking neurons applied to real-time robot control. Bene Meritus, pp. 605-619, Graz: Leykam, 2007.

[10]

H. Burgsteiner, M. Kröll, A. Leopold, and G. Steinbauer. Movement Prediction from real-world Images using a Liquid State Machine. International Journal on Applied Intelligence, vol. 26, pp. 99-109, DOI 10.1007/s10489-006-0007-1, Springer, 2006.

[9]

H. Burgsteiner. Imitation Learning with Spiking Neural Networks and Real-World Devices. International Journal of Intelligent Real-Time Automation (Engineering Applications of Artificial Intelligence), available at Elsevier Publishing, volume 19, pp. 741-752, 2006. (Gzipped PostScript, 24 p., 296 KB). (PDF, 314 KB).

[8]

H. Burgsteiner. On learning with recurrent spiking neural networks and their applications to robot control with real-world devices. PhD-Thesis, Graz University of Technology, 2005. (Gzipped PostScript, 168 p., 5985 KB). (PDF, 2264 KB).

[7]

H. Burgsteiner. Training networks of biological realistic spiking neurons for real-time robot control. In Proceedings of the 9th International Conference on Engineering Applications of Neural Networks, pp. 129-136, Lille, France, 2005. (Gzipped PostScript, 8 p., 2110 KB). (PDF, 214 KB).

[6]

A. Holzinger, H. Burgsteiner, and H. Maresch. Experiences with the Practical Use of Care2x in Medical Informatics Education. In Handbook of Research on Informatics in Healthcare and Biomedicine, A. Lazakidou (ed), Hershey (PA), Idea Group Reference, chap. XI, pp. 81-88, 2005. (PDF, 8 p., 549 KB).

[5]

H. Burgsteiner, M. Kröll, A. Leopold, and G. Steinbauer. Movement Prediction from real-world Images using a Liquid State Machine. In Proceedings of the 18th International Conference IEA/AIE, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2005. (Gzipped PostScript, 10 p., 407 KB). (PDF, 549 KB).

[4]

P. Auer, H. Burgsteiner, and W. Maass. Reducing communication for distributed learning in neural networks. In Proceedings of the International Conference on Artificial Neural Networks, ICANN'2002, Lecture Notes in Computer Science, vol. 2415, pp.123-128, Springer-Verlag, 2002. (Gzipped PostScript, 6 p., 117 KB). (PDF, 101 KB).

[3]

W. Maass, A. Pinz, R. Braunstingl, G. Wiesspeiner, T. Natschläger, O. Friedl, and H. Burgsteiner. Konstruktion von Lernfähigen Robotern im Studentenwettbewerb "Robotik 2000" an der Technischen Universität Graz. in: Telematik, pages 20-24, 2000. (Gzipped PostScript, 8 p., 83 KB). (PDF, 178 KB).

[2]

H. Burgsteiner. Integration of xvision and khepera. Technical report, Institute for Theoretical Computer Science, Graz University of Technology, 1999. (Gzipped PostScript, 7 p., 74 KB). (PDF, 192 KB).

[1]

H. Burgsteiner. Neural Networks with Dynamic Synapses. Master's thesis, Graz University of Technology, November 1998. (Gzipped PostScript, 95 p., 499 KB). (PDF, 1034 KB).