Author:
Srivishnuprasath K,Karthik Varshini,Ashok Kumar D
Abstract
Abstract
Diabetes is a leading cause of micro vascular complications such as neuropathy and peripheral vascular disease. It is also associated with an accelerating atherosclerosis. Peripheral arterial disease (PAD) is manifestation of atherosclerosis which can pre date the diagnosis of diabetes. PAD is prevalent in diabetes and has a silent nature of progression. ABI is used as a reproducible and accurate non-invasive method for measurement and detection of PAD and the determination of disease complexity. Toe pressure and Toe brachial index (TBI) is useful in the evaluation of people with medial arterial calcification, where the ABI is considered as less accurate. Hence the aim is to develop a device which can assist humans to predict diabetic vascular disorder and treat them. The proposed system uses the toe brachial index (TBI) for detection of PAD. The normal range of TBI is from 0.5-0.95, below this value the person is diagnosed for PAD and above this value would be considered as unclassified due to calcification of blood vessel. The proposed device is a microcontroller based system that can monitor TBI and accordingly treat the vascular issue by providing compression.