Comparative study of diabetes foot diagnosis using ABPI

  • Authors

    • G Hari Krishnan
    • G S Arun Kumar
    • V Arun
    • R Saravana
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.25.12365
  • Diabetes, Food Diagnosis, ABPI, PIC Microcontroller and Blood Pressure

  • User friendly product has been developed to analyze the user condition accurately and provide a digital output with low cost product to the end user for diagnosing diabetes foot. Detecting the level of peripheral neuropathy which significantly increases the risk of sustaining a foot wound called ‘loss of protective sensation. To implement a device to detect foot diabetes in patients using the Ankle Brachial pressure index values. The proposed system was tested by conducting experiment on 9 patients and whose ABPI value measured confirms the convention-al measured values.

     

     

  • References

    1. [1] Chongthawonsatid, Sukanya, and Somchai Dutsadeevettakul. “Validity and Reliability of the Ankle-Brachial Index by Oscillometric Blood Pressure and Automated Ankle-Brachial Index†Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences 22 (2017).

      [2] Kollias A, Xilomenos A, Protogerous A, Dimakakos E and Stegious GS, “Automated determination of the ankle-brachial index using an oscillometric blood pressure monitor: validation vs. Doppler measurement and cardiovascular risk factor profile, Hypertens Res, Volume 34(7), pp825-30 (2011).

      [3] Andrea M MacDougall, MD Vikas Tandon, MD Merne P Wilson RN MSc and Thomas W Wilson, “Oscillometric measurement of the ankle-brachial indexâ€, Can J Cardiol, Vol 24(1), pp49-51 (2008).

      [4] Jing Ma, Min Liu, Dawei Chen, Chun Wang, Guanjian Liu, and Xingwu Ran, “The Validity and Reliability between Automated Oscillometric Measurement of Ankle-Brachial Index and Standard Measurement by Eco-Doppler in Diabetic Patients with or without Diabetic Foot,†International Journal of Endocrinology, vol. 2017.

      [5] Xu, Dachun et al., “Diagnostic value of Ankle-Brachial Index in Peripheral Arterial Disease: A Meta-analysisâ€, Canadian Journal of Cardiology, Volume 29, Issue 4, pp492-498, 2013.

      [6] Van Netten,Ph.D., Jeff Van Baal,M.D.,Ph.D., Ferdi van der Heijden,Ph.D., and Sicco A.Bus,Ph.D Infrared Thermal Imaging for Automated Detection of Diabetic Foot Complications.

      [7] M. Zequera, L. Garavito, W. Sandham, J. Bernal, A. Rodrguez, L.Jimnez, A. Hernndez, C. Wilches, and A. Villa, â€Diabetic Foot Prevention:Repeatability of the Loran Platform Plantar Pressure and LoadDistribution Measurements in Nondiabetic Subjects during BipedalStanding: A Pilot Study,†J. Electrical and Computer Engineering,vol. 2011, Article ID 136936, 2011.

      [8] Herráiz-Adillo, Ãngel et al. “Diagnostic Accuracy Study of an Oscillometric Ankle-Brachial Index in Peripheral Arterial Disease: The Influence of Oscillometric Errors and Calcified Legs.†Ed. Tatsuo Shimosawa. PLoS ONE11.11 (2016).

      [9] Špan, Matjaž et al. “Detection of Peripheral Arterial Disease with an Improved Automated Device: Comparison of a New Oscillometric Device and the Standard Doppler Method.†Vascular Health and Risk Management 12 (2016).

      [10] Takahashi, Ikuno et al. “Comparison between Oscillometric- and Doppler-ABI in Elderly Individuals.†Vascular Health and Risk Management 9 (2013): 89–94.

      [11] Nelson, Mark R et al. “Ankle-Brachial Index Determination and Peripheral Arterial Disease Diagnosis by an Oscillometric Blood Pressure Device in Primary Care: Validation and Diagnostic Accuracy Study.†BMJ Open 2.5 (2012).

      [12] Rosenbaum, David et al. “Accuracy of the Ankle-Brachial Index Using the SCVL®, an Arm and Ankle Automated Device with Synchronized Cuffs, in a Population with Increased Cardiovascular Risk.†Vascular Health and Risk Management 8 (2012): 239–246.

  • Downloads

  • How to Cite

    Hari Krishnan, G., S Arun Kumar, G., Arun, V., & Saravana, R. (2018). Comparative study of diabetes foot diagnosis using ABPI. International Journal of Engineering & Technology, 7(2.25), 40-42. https://doi.org/10.14419/ijet.v7i2.25.12365