SUGENO FUZZY BASED WBAN MANAGEMENT FOR BIO-SIGNAL MONITORING SYSTEM

  • Unique Paper ID: 163239
  • Volume: 0
  • Issue: no
  • PageNo: 1-6
  • Abstract:
  • Biomedical applications have made extensive use of wearable body area networks. These systems affix many sensors to the human body to continually track the bio signals of the patient. Numerous WBAN varieties have been studied for ongoing medical applications. In this case, a number of bio signals are captured from bodily sensors, and then data is gathered, managed, and stored in a controller. For wearable healthcare applications, the WBAN controller with Branched Bus topology and Continuous Data Transmission protocol is suggested. It has low power consumption and self-reconfigurability. A WBAN controller based on the Sugeno fuzzy model is suggested, in addition to the CDT protocol and BB topology. It has the capacity to produce an entirely distinct input-output mapping by adding only one more degree of flexibility to the fuzzy system design parameters. The suggested method can be used for decision-making processes, fuzzy controller design, and fuzzy model discovery. It makes two contributions: first, compared to the corresponding ones, the current result is less conservative, and second, the matrix dimensions are significantly less. According to simulation studies, the suggested WBAN controller allows for more dependable performance in applications involving continuous bio-signal monitoring, including sleep monitoring.

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Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{163239,
        author = {REJIN ROSE.V.H},
        title = {SUGENO FUZZY BASED WBAN MANAGEMENT FOR BIO-SIGNAL MONITORING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {0},
        number = {no},
        pages = {1-6},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163239},
        abstract = {Biomedical applications have made extensive use of wearable body area networks. These systems affix many sensors to the human body to continually track the bio signals of the patient. Numerous WBAN varieties have been studied for ongoing medical applications. In this case, a number of bio signals are captured from bodily sensors, and then data is gathered, managed, and stored in a controller. For wearable healthcare applications, the WBAN controller with Branched Bus topology and Continuous Data Transmission protocol is suggested. It has low power consumption and self-reconfigurability. A WBAN controller based on the Sugeno fuzzy model is suggested, in addition to the CDT protocol and BB topology. It has the capacity to produce an entirely distinct input-output mapping by adding only one more degree of flexibility to the fuzzy system design parameters. The suggested method can be used for decision-making processes, fuzzy controller design, and fuzzy model discovery. It makes two contributions: first, compared to the corresponding ones, the current result is less conservative, and second, the matrix dimensions are significantly less. According to simulation studies, the suggested WBAN controller allows for more dependable performance in applications involving continuous bio-signal monitoring, including sleep monitoring.},
        keywords = {Wearable Body Area Network (WBAN), Biomedical applications, Bio signal monitoring, Branched Bus (BB) topology, Continuous Data Transmission (CDT) protocol, Low power consumption, Self-reconfigurability, Sugeno fuzzy model, Fuzzy controller design},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 0
  • Issue: no
  • PageNo: 1-6

SUGENO FUZZY BASED WBAN MANAGEMENT FOR BIO-SIGNAL MONITORING SYSTEM

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