Abstract
In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE platform. EMBALANCE platform extends existing but generic and currently uncoupled balance modeling activities, leading to a multi-scale and patient-specific balance Hypermodel, which is incorporated to a Decision Support System (DSS), towards the early diagnosis, prediction and the efficient treatment planning of balance disorders. Various data feed the intelligent system increasing the dimensionality and personalization of the system. Human Computer Interaction techniques are utilized in order to develop the required interfaces in a user-intuitive and efficient way, while interoperable web services enhance the accessibility and acceptance of the system. The platform will be validated using both retrospective as well as prospective experimental and clinical data. The final tool will be a powerful web-based platform provided to primary and secondary care physicians across specialties, levels of training and geographical boundaries, targeting wider clinical acceptance as well as the increased confidence in the developed DSS towards the early diagnostic evaluation, behaviour prediction and effective management planning of balance problems. Currently we focus and present the management and modeling of the balance disorders.
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References
Campbell AM, Heyer LJ (2007) Discovering genomics, proteomics and bioinformatics. Benjamin Cummings, San Francisco, CA
Kapoula Z, Le T (2006) Effects of distance and gaze position on postural stability in young and old subjects. Exp Brain Res 173:438–445. doi:10.1007/s00221-006-0382-1
Shaffer S, Harrison A (2007) Aging of the somatosensory system: a translation perspective. Phys Ther 87(2):194–207
Uchiyama M, Demura S (2009) The role of eye movement in upright postural control. Sport Sci Health 5:21–27. doi:10.1007/s11332-009-0072-z
Angelaki D, Cullen K (2008) Vestibular system: the many facets of a multimodal sense. Annu Rev Neurosci 31:125–150. doi:10.1146/annurev.neuro.31.060407.125555
Mergner T, Schweigart G, Fennell L, Maurer C (2009) Posture control in vestibular loss patients. Ann N Y Acad Sci 1164:206–215
Maurer C, Mergner T, Peterka RJ (2006) Multisensory control of human upright stance. Exp Brain Res 171:231–250
van der Kooij H, de Vlugt E (2007) Postural responses evoked by platform perturbations are dominated by continuous feedback. J Neurophysiol 98:730–743
Kuo AD (2005) An optimal state estimation model of sensory integration in human postural balance. J Neural Eng 2(3):S235–S249, Epub 2005 Aug 31
Acknowledgments
This research is partly funded by the European Commission as part of the project EMBALANCE “A Decision Support System incorporating a validated patient-specific, multi-scale Balance Hypermodel towards early diagnostic Evaluation and efficient Management plan formulation of Balance Disorders” (Grant Agreement no 610454).
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Exarchos, T.P. et al. (2015). Management and Modeling of Balance Disorders Using Decision Support Systems: The EMBALANCE Project. In: Vlamos, P., Alexiou, A. (eds) GeNeDis 2014. Advances in Experimental Medicine and Biology, vol 820. Springer, Cham. https://doi.org/10.1007/978-3-319-09012-2_4
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DOI: https://doi.org/10.1007/978-3-319-09012-2_4
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