Abstract
Based on the idea of SoC (System-on-Chip), an embedded-link, selfadaptive medical advisory system is proposed for home health monitoring, which can be merged into the embedded platform of mobile or wearable medical sensors and run independently. Meanwhile, if necessary, it will up link to health centers and self-calibrate its knowledge base. To provide effective medical advices, the methods of soft computing, including temporal fuzzy variables and weighted medical rules, are applied to the proposed medical advisory system. The elementary components, including medical knowledge base, inference machine and shell, are addressed in detail. Lastly, the way to construct such embedded-link, self-adaptive medical advisory system and integrate it into a mobile cardiovascular monitoring device is introduced too.
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LI, BN., Dong, MC., I, V. (2006). The Applications of Soft Computing in Embedded Medical Advisory Systems for Pervasive Health Monitoring. In: Abraham, A., de Baets, B., Köppen, M., Nickolay, B. (eds) Applied Soft Computing Technologies: The Challenge of Complexity. Advances in Soft Computing, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31662-0_12
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DOI: https://doi.org/10.1007/3-540-31662-0_12
Publisher Name: Springer, Berlin, Heidelberg
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