Abstract
Foot Problems are a leading cause of hospitalization for patients having diabetes in India. Fifteen percent of all patients of diabetes develop foot ulcer during their life time. The cost of treatment increases significantly in people with diabetes and treatment may result in lower extremities amputations (LEAs). The Visual Analytics, Correction in Foot Care Hardness can help in early detection of people at risk of Foot Ulcer. The paper finds out the average hardness of male and female foot wears in Indian population. With help of visual analytics paper tries to find out the prevalence of people at risk of foot ulcer in diabetes. The paper also explores whether the risk of foot ulcer is significantly higher for a specific gender. The methods used for analysis is t-test and Chi-Square test.
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References
Bhansali, A. (2013). Cost of diabetes care: Prevent diabetes or face catastrophe. JAPI, 61.
Bryant A. R. (2000). Normal values of plantar pressure measurements determined using the EMED-SF system. Journal of the American Podiatric Medical Association, 295–299.
CCSI. (2006). Durometer Instrument Background. Retrieved July 26, 2015, from CCSI Website: http://www.ccsi-inc.com/.
Charanya, G. (2004). Effect of foot sole hardness, thickness and footwear on foot pressure distribution parameters in diabetic neuropathy. In Proceedings of the Institution of Mechanical Engineers (pp. 431–443).
Durometer Made Easy. (n.d.). Retrieved July 26, 2015, from Paramount PDS: http://www.paramountind.com/.
Durometer Types and Specifications. (n.d.). Retrieved July 26, 2015, from PTC Meterology: http://www.ptc1.com/pdf/DurometerTechSheet.pdf.
Franke, T. M. (2012). The Chi-Square test often used and most often misinterpretated. Americal Journal of Evaluation, 33(3), 448–458.
Ingrid Kruse, D. A. (2006). Evaluation and treatment of diabetic foot ulcers. ADA:Clinical Diabetes.
Kothari, C. (2007). Quantitative techniques. New Delhi: USB Publishers Ltd.
Mishra, V. (2015). Use of machine learning to predict the onset of diabetes. International Journal of Recent advances in Mechanical Engineering (IJMECH), 4(2).
Nihal Thomas, K. J. (2012). A Practical Guide to Diabetes Mellitus. New Delhi: Jaypee.
Ramchandran A. (2011). Burden of Type 2 Diabetes in India: Prevalence and Projection. Micro Labs Ltd.
Shahi, S. K. (2012). Prevalence of diabetic foot ulcer and associated risk factors in diabetic patients from north india. The Journal of Diabetic Foot Complications, 4(3 and 4), 83–91.
Silvino, N. E. P. (1980). The harris and beath footprinting mat: diagnostic validity and clinical use. Clinical Orthopaedics and Related Research, 151, 265–269.
Sinharay, K. P. U. (2012). Prevalence of diabetic foot ulcers in newly diagnosed diabetes mellitus patients. Journal of Medical Association, 608–11.
Thacker, S. B, (1988). Public health surveillance in the United States. Epidemiol Review, 164–190.
Thomas, J. J. (2005). Illuminating the Path: The Research and Development Agenda for Visual Analytics: National Visualization and Analytics.
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Mishra, V., Rautela, A., Manjunatha, B., Samuel, C., Sharma, S.K., Mishra, A. (2016). Use of Visual Analytics and Durometer in Risk Reduction of Foot Problems in Diabetes. In: Mandal, D.K., Syan, C.S. (eds) CAD/CAM, Robotics and Factories of the Future. Lecture Notes in Mechanical Engineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2740-3_48
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DOI: https://doi.org/10.1007/978-81-322-2740-3_48
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2738-0
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