Statistical analysis using Bland-Altman agreement for technical methods of measuring blood glucose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Diabetes Mellitus is a disease which is spread worldwide, which can induce other systemic diseases with high mortality. The WHO gives estimation that there are more than 260 million people with diabetes, and the number shall double by 2030. Diabetes mellitus may be detected with few of the symptoms like thirst, blurring of vision, polyuria and weight loss. When it exceeds to be very severe it may even lead to coma and death. The determination of the level of the glucose in the blood is a necessary procedure in diabetes therapy, where the commonly used therapy involves the procedure of finger-prick measurements which is uncomfortable and causes skin injury. A noninvasive type painless therapy would improve the quality of life of patients by increasing compliance to monitoring blood glucose levels and thus hyper- and hypoglycemic episodes. The noninvasive glucose information interfaces with the other compounds due to which the precision of the device drops down and commercial less effective. The blood glucose monitoring techniques are briefly explained with their advantages and the limitations. A sample data set was obtained and the correlation and the Bland-Altman Plot agreement to interchange the measurement technique from invasive to noninvasive are discussed with the relevant graphs.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Electronics, Communication Computer Technologies and Optimization Techniques, ICEECCOT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages693-698
Number of pages6
Volume2018-January
ISBN (Electronic)9781538623619
DOIs
Publication statusPublished - 07-02-2018
Event2017 International Conference on Electrical, Electronics, Communication Computer Technologies and Optimization Techniques, ICEECCOT 2017 - Mysuru, India
Duration: 15-12-201716-12-2017

Conference

Conference2017 International Conference on Electrical, Electronics, Communication Computer Technologies and Optimization Techniques, ICEECCOT 2017
CountryIndia
CityMysuru
Period15-12-1716-12-17

All Science Journal Classification (ASJC) codes

  • Radiation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    DIas, C., Kamath, S., & Vidyasagar, S. (2018). Statistical analysis using Bland-Altman agreement for technical methods of measuring blood glucose. In International Conference on Electrical, Electronics, Communication Computer Technologies and Optimization Techniques, ICEECCOT 2017 (Vol. 2018-January, pp. 693-698). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEECCOT.2017.8284592