Abstract
Respiratory Sinus Arrhythmia has until now been analysed manually by reviewing long time series of heart rate measurements. Patterns are identified in the analysis of the measurements. We propose a design for a classification system of Respiratory Sinus Arrhythmia by time series analysis of heart and respiration measurements. The classification uses Case-Based Reasoning and Rule-Based Reasoning in a Multi-Modal architecture. The system is in use as a research tool in psychophysiological medicine, and will be available as a decision support system for treatment personnel.
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References
Bichindaritz, I.: Mnaomia: Improvingcase-based reasoning for an application in psychiatry. In: Artificial Intelligence in Medicine: Applications of Current Technologies, pp. 14–20. AAAI Press, Menlo Park (1996)
Bichindaritz, I., Kansu, E., Sullivan, K.M.: Case-based reasoning in care-partner: Gathering evidence for evidence-based medical practice. In: Advances in CBR: 4th European Workshop, ECCBR 1998, September 1998, pp. 334–345 (1998)
Dinh, T.P., Perrault, H., Calabrese, P., Eberhard, A., Benchetrit, G.: New statical method for detection and quantification of respiratory sinus arrhytmia. IEEE Transactions on Biomedical Engineering 46(9), 1161–1165 (1999)
Grossman, P., Van Beek, J., et al.: A comparison of three quantification methods for estimation of respiratory sinus arrhytmia. Psychophysiology 27(6), 702–714 (1990)
Bareiss Jr., E.R.: PROTOS: A unified approach to concept representation, classification and, learning. UMI Dissertation Services, 300 North Zeeb Road, P.O. Box 1346, Ann Arbor, Michigan 48106-1346, USA (1988)
Koton, P.: Using Experience in Learning and Problem Solving. MIT Press, Cambridge (1988)
Landis, B., Romano, P.M.: A scoring system for capnogram biofeedback: Preliminary findings. Applied Psychophysiology and Biofeedback 23(2), 75–91 (1998)
Lehrer, P.M., Vaschillo, E., Vaschillo, B.: Resonant frequency biofeedback training to increase cardiac variability: Rationale and manual for training. Applied Psychophysiology and Biofeedback 25(3), 177–191 (2000)
Malik, M., Camm, J., et al.: Heart rate variability - standards of measurement, physiological interpretation, and clinical use. European Heart Journal 17, 354–381 (1996)
Marling, C., Whitehouse, P.: Case-based reasoning in the care of alzheimer’s disease patients. In: Case-Based Research and Development, ICCBR 2001, July/August 2001, pp. 702–715 (2001)
Montani, S., Magni, P., Bellazzi, R., Larizza, C., Roudsari, A.V., Carson, E.R.: Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients. Artificial Intelligence in Medicine 29, 131–151 (2003)
Montani, S., Magni, P., Roudsari, A.V., Carson, E.R., Bellazzi, R.: Integrating different methodologies for insulin therapy support in type 1 diabetic patients. In: Artificial Intelligence in Medicine, AIME 2001, July 2001, pp. 121–130 (2001)
Nilsson, M., Funk, P., Sollenborn, M.: Complex measurement classification in medical applications using a case-based approach. In: Workshop proceedings: Case-Based Reasoning in the Health Sciences, International Conference on Case-Based Reasoning, June 2003, pp. 63–72 (2003)
Nilsson, M., Sollenborn, M.: Advancements and trends in medical casebased reasoning: An overview of systems and system development. In: Proceedings of the 17th International FLAIRS Conference, May 2004, pp. 178–183 (2004)
Patterson, D., Galushka, M., Rooney, N.: An effective indexing and retrieval approach for temporal cases. In: Proceedings of the 17th International FLAIRS Conference, May 2004, pp. 190–195 (2004)
Perner, P., Günther, T., Perner, H., Fiss, G., Ernst, R.: Health monitoring by an image interpretation system - a system for airborne fungi identification. In: Perner, P., Brause, R., Holzhütter, H.-G. (eds.) ISMDA 2003. LNCS, vol. 2868, pp. 62–74. Springer, Heidelberg (2003)
Schmidt, R., Gierl, L.: Temporal abstractions and case-based reasoning for medical course data: Two prognostic applications. In: Perner, P. (ed.) MLDM 2001. LNCS (LNAI), vol. 2123, pp. 23–34. Springer, Heidelberg (2001)
von Schéele, B.: Classification Systems for RSA, ETCO2 and other physiological parameters. PBM Stressmedicine, Heden 110, 821 31 Bollnäs, Sweden (1999)
Watson, I.: Applying Case-Based Reasoning: Techniques for Enterprise Systems. Morgan Kaufmann Publishers Inc, 340 Pine St, 6th floor, San Fransisco, CA 94104, USA (1997)
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Nilsson, M., Funk, P. (2004). A Case-Based Classification of Respiratory Sinus Arrhythmia. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_49
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DOI: https://doi.org/10.1007/978-3-540-28631-8_49
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