International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
CORTEX WALK – SMART SHOES FOR MONITORING FOOT PRESSURE IN DIABETIC PATIENTS M.Chandini1 , J.Cheryl Rehana Felcy1 , A.Indhu1 , S.T Santhanalakshmi2 1,2
Dept. of Computer Science and Engineering, Panimalar Engineering College,Chennai-600 123, INDIA.
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Abstract - Diabetics causes neurovascular complications
which leads to development of high pressure areas in the feet. Diabetic neuropathy causes severe nerve damage, which may ultimately lead to ulcerations. This paper discusses about the detection of foot neuropathy as early as possible, from a home based environment. Flexi force sensors are used to measure the pressure in different areas of our foot and it will be displayed on the hand held device. The vibrating motors can be used to stimulate vibrations at different frequencies at the desired locations thus improving the blood flow. Thus a low-cost foot pressure and foot movement analysis and blood flow stimulation system, is developed which a patient can wear at any place to monitor his or her foot pressure distribution. Keywords: Neurovascular, neuropathy, ulcerations.
1.INTRODUCTION Diabetics is one of the major reasons of illness and deaths in the world.Diabetics leads to the development of high pressure areas in the human limbs. In 2012, a survey on “Economic costs of Diabetes in US” showed that 9.3% of its population was afftected by diabetics. It also revealed that 25.9% of people above the age of 65 (11.8 million seniors) were afftected by diabetes. In 2010, around 69,071 death certificates listeddiabetes as the underlying cause of death. Diabetics causes neurovascular complications which leads to development of high pressure areas in the feet. Diabetic neuropathy causes severe nerve damage, which may ultimately lead to ulcerations. As a remedy sending imperceptible vibrations through the feet of diabetics and stroke patients significantly improves the damaged nerves and stimulates the blood flow, according to a study conducted by a biomedical university in America.
Diabetic Neuropathy is a serious medical disorder and can be prevented by the early detection of abnormal pressure patterns under the foot. Although equipment to measure foot pressure distribution is available in India © 2017, IRJET
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and elsewhere, these are still not readily accessible for a large segment of the population, are too expensive to own, and are too bulky to be portable. The foot pressure monitors are also not readily available in less developed countries which are home to many communities with a high prevalence of diabetes. This project not only enables early detection but also provides treatment and prevention of Diabetic Neuropathy which is a serious medical disorder. Equipment to measure foot pressure distribution is either too expensive to own or too bulky to be portable. The system design in our project is such that the sensors and actuators can be fitted within the shoe unit and the monitoring unit a simple handheld device allowing to overcome the previous drawback.Thus our project will be cheaper and readily available in less developed countries which are home to many communities with a high prevalence of diabetes.Large external memory allows the system to continuously store data from the smart shoe even for several weeks.Advanced Color Graphical User Interface with the help of a TFT LCD and Touchscreen Panel.Next generation ARM Cortex-M3 architecture is the chosen hardware platform, ideal when low power and high performance is needed.
1.1 Related work Benoit Mariani, Mayt´e Castro Jim´enez, Franc¸ois J. G. Vingerhoets, and Kamiar Aminian, Member, IEEE (2012) “OnShoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson’s Disease”. This paper presents an innovative technology based on wearable sensors on-shoe and processing algorithm, which provides outcome measures characterizing PD motor symptoms during TUG and gait tests. Our results on ten PD patients and ten age-matched elderly subjects indicate an accuracy±precision of 2.8±2.4 cm/s and 1.3 ±3.0 cm for stride velocity and stride length estimation compared to optical motion capture, with the advantage of being practical to use in home or clinics without any discomfort for the subject. In addition, the use of novel spatio-temporal parameters, including turning, swing width, path length, and their inter cycle variability, was also validated and showed interesting tendencies ISO 9001:2008 Certified Journal
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