Abstract
Principal rules defining the adaptation of ECG interpretation software in a distributed surveillance network are presented in this paper. Thanks to the pervasive access to wireless digital communication services, the intelligent monitoring networks automatically solve difficult medical cases thanks to the auto-adaptation of data interpretation and transmission to the variable patient status and technical constrains. The foundation of this innovative approach is the use of selected diagnostic parameters in a loopback modifying the running interpretive software. The auto adaptive process maximizes the general estimate of patient description quality aggregating the divergence values of particular parameters modulated by the medical relevance factor dependent on the status of patient. Our approach is motivated by the outcomes from the research on human experts behavior, statistics of the procedures reliability and usage as well as tests in a prototype client-server application. The tests yielded very promising results: the convergence of the remotely computed diagnostic outcome was achieved in over 80% of software adaptation attempts. Comparing to the rigid reporting mode, avoiding unnecessary computation extends the autonomy time by 65% and the transmission channel occupation was reduced by 3,1 to 5,6 times.
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References
Aldroubi, A., Feichtinger, H.: Exact iterative reconstruction algorithm for multivariate irregularly sampled functions in spline-like spaces: the Lp theory. Proc. Amer. Math. Soc. 126(9), 2677–2686 (1998)
Augustyniak, P.: Adaptive Discrete ECG Representation - Comparing Variable Depth Decimation and Continuous Non-Uniform Sampling. Computers in Cardiology 29, 165–168 (2002)
Augustyniak, P.: How a Human Perceives the Electrocardiogram: The Pursuit of Information Distribution through Scanpath Analysis. Computers in Cardiology 30, 601–604 (2003)
Augustyniak, P., Tadeusiewicz, R.: Investigation of Human Interpretation Process Based on Eyetrack Features of Biosignal Visual Inspection. In: IEEE 27-th Annual IEEE-EMBS Conference, paper nr 89 (2005)
Augustyniak, P.: Content-Adaptive Signal and Data in Pervasive Cardiac Monitoring. Proc. Computers in Cardiology 32, 825–828 (2005a)
Balasz, G., Kozmann, G., Vassanyi, I.: Intelligent Cardiac Telemonitoring System. Computers in Cardiology 31, 745–748 (2004)
Banitsas, K.A., Georgiadis, P., Tachakra, S., Cavouras, D.: Using handheld devices for real-time wireless Teleconsultation. In: Proc. 26th Conf. IEEE EMBS, pp. 3105–3108 (2004)
Bar-Or, A., Healey, J., Kontothanassis, L., Van Thong, J.M.: BioStream: A system architecture for real-time processing of physiological signals. In: Proc. 26th Conf. IEEE EMBS, pp. 3101–3104 (2004)
Bousseljot, R., et al.: Telemetric ECG Diagnosis Follow-Up. Computers in Cardiology 30, 121–124 (2003)
CardioSoft, Version 6.0 Operator’s Manual. GE Medical Systems Information Technologies, Inc. Milwaukee (2005)
Chiarugi, F., et al.: Continuous ECG Monitoring in the Management of Pre-Hospital Health Emergencies. Computers in Cardiology 30, 205–208 (2003)
DRG, MediArc Premier IV Operator’s Manual version 2.2 (1995)
Fayn, J., et al.: Towards New Integrated Information and Communication Infrastructures in E-Health. Examples from Cardiology. Computers in Cardiology 30, 113–116 (2003)
Gonzalez, R., Jimenez, D., Vargas, O.: WalkECG: A Mobile Cardiac Care Device. Computers in Cardiology 32, 371–374 (2005)
HP, M1700A Interpretive Cardiograph Physician’s Guide ed. 4. Hewlett-Packard (1994)
IBM, Electrocardiogram Analysis Program Physician’s Guide (5736-H15) 2nd edn. (1974)
IEC, 60601-2-47. Medical electrical equipment: Particular requirements for the safety, including essential performance, of ambulatory electrocardiographic systems (2001)
Korsakas, S., et al.: Electrocardiosignals and Motion Signals Telemonitoring and Analysis System for Sportsmen. Computers in Cardiology 32, 363–366 (2005)
Macfarlane, P.W., Devine, B., Clark, E.: The University of Glasgow (Uni-G) ECG Analysis Program. Computers in Cardiology 32, 451–454 (2005)
Nihon Kohden, ECAPS-12C User Guide: Interpretation Standard revision A (2001)
Paoletti, M., Marchesi, C.: Low computational cost algorithms for portable ECG monitoring units IFMBE Proc. Medicon paper 231 (2004)
Pinna, G.D., Maestri, R., Gobbi, E., La Rovere, M.T., Scanferlato, J.L.: Home Telemonitoring of Chronic Heart Failure Patients: Novel System Architecture of the Home or Hospital in Heart Failure Study. Computers in Cardiology 30, 105–108 (2003)
Puzzuoli, S.: Remote Transmission and Analysis of Signals from Wearable Devices in Sleep Disorders Evaluation. Computers in Cardiology 32, 53–56 (2005)
Straszecka, E., Straszecka, J.: Uncertainty and imprecision representation in medical diagnostic rules, IFMBE Proc, Medicon, paper 172 (2004)
Tadeusiewicz, R., Augustyniak, P.: Information Flow and Data Reduction in the ECG Interpretation Process. In: IEEE 27 Annual EMBS Conf., paper 88 (2005)
Telisson, D., Fayn, J., Rubel, P.: Design of a Tele-Expertise Architecture Adapted to Pervasive Multi-Actor Environments. Application to eCardiology. Computers in Cardiology 31, 749–752 (2004)
Willems, J.L.: Common Standards for Quantitative Electrocardiography 10-th CSE Progress Report, ACCO publ., Leuven (1990)
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Augustyniak, P. (2008). Quality-Driven Continuous Adaptiation of ECG Interpretation in a Distributed Surveillance System. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_86
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DOI: https://doi.org/10.1007/978-3-540-69731-2_86
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