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Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps

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Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

Abstract

In the present contribution the authors show the application of SOMs for visualization of physiological parameters of patients and therapists in psycho-therapy sessions. Thereby, using the topology preserving property of SOMs a color representation can be generated allowing an easy assessment of the underlying parameter change which can be interpreted by the therapists. To achieve the topology preserving map a growing extension of the SOM was used together with a magnification control strategy which maximizes the mutual information of the network.

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© 2000 Springer-Verlag London

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Villmann, T., Badel, B., Kämpf, D., Geyer, M. (2000). Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps. In: Malmgren, H., Borga, M., Niklasson, L. (eds) Artificial Neural Networks in Medicine and Biology. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0513-8_33

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  • DOI: https://doi.org/10.1007/978-1-4471-0513-8_33

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-289-1

  • Online ISBN: 978-1-4471-0513-8

  • eBook Packages: Springer Book Archive

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