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
Raspberry Pi Based Paralyze Attack Rehabilitation System M.Krishnavarthini[1], N.Sivakami[2], P.Suganya[3], M.Sheerinbegum[4],G. Saranya[5] Students[1,2,3,4], Assistant Professor[5], Parisutham Institute of Technology and Science , Department of Electronics and Communication Engineering , Tamil Nadu , India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The purpose of the design is to create a robotic hand that would be controlled easily by the user through EMG sensor in order to improve their stroke patient’s life. This is less cost-effective than training and purchasing rehabilitation to use several specialized rehabilitation. Robotic arms also have a more human-like morphology, which may make them less frightening or strange to patients. So we developed a Neuro-Fuzzy controlled automatic interface is developed that allows a fast, protected, and harmless attachment between a robotic arm and a human limb.
completely).Another Drawback in this technique , take longer period to get cured.
3. Proposed Model
Key Words: Raspberry pi, Analog to Digital Convertor, EMG Sensor, Servomotor, Instrumentation Amplifier
Designing and implementing a neural network and Fuzzy control prosthetic hand that would emulate the forearm of a human for stroke or paralyze patient. Thus, to create a prosthetic hand that receive the inputs from the EMG sensors and these signals amplified via instrumentation amplifier and fed through Raspberry pi for feature extraction and classification using Neuro-fuzzy. Classified appropriate action is taken from Raspberry pi controller board, then it would drive the mechanical artificial robotic arm for paralyze patient.
1. INTRODUCTION
3.1. Working
According to the World Health Organization (WHO), approximately 15 million people suffer strokes worldwide each year. Stroke is a very broad term and includes a variety of different types of diseases involving the blood vessels that supply the brain. Treatment depends on the type of stroke and the location of the blood vessels involved .So we develop a Non-Invasive artificial Hand for those who are unfortunate enough to move their hands due to paralyze attack or lost a hand. There are two types of stroke namely, Ischemic stroke and Hemorrhagic stroke. Ischemic stroke occurs due to the blockage in the blood vessels. The blockage occurs due to grown of tissues .Hemorrhagic stroke occurs due to the sudden burst of the blood vessels.
2. Existing Model Due to more number stroke attack there is lot surgeries and these numbers are increasing. With more patients requiring rehabilitation, an accurate assessment of each patient is essential to manage patient workload [1]. However, currently this assessment is performed by visual observation, patient questionnaires and goniometry (measurement of range of motion of a single joint while the patient is at rest). Even when carefully performed, there is an element of subjectivity and human error possible with these methods [2]. There are two treatments in the existing system. They are oil treatment and surgery method. In the oil treatment, it needs additional help from the people around us and it also takes many years to recover. The recovery percentage is very low and unpredictable. In surgical method, it use copper like setup to remove the blockages present in the blood vessel. By this technique, majority of the blockages get removed(not Š 2017, IRJET
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Impact Factor value: 5.181
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The EMG Sensor is placed in the working hand of the patient, sense the muscle activity which is converted into electrical signal. The signal is given to ADC for getting digital signal. This is because Raspberry pi acts like a computer, so that the digital signal is given to the Raspberry Pi board .The Raspberry Pi board will compare the signal with fuzzy and pass the command to the control signal. The Control Circuit is the combination of ULN 2003 and Relay.ULN 2003 act as a IC with four transistors, which is used for providing 12V supply to the motor. The relay drives the supply to the motor. The motor accepts the supply and start to rotate according to the commands from the raspberry pi board. The motor has three conditions, which is set by us inside the raspberry pi. The three conditions are shivering, up and down movements. If the patients hand is shivering, the commands processing get stopped and motor will not rotate, so that hands cannot be moved.
Fig -1: Working model ISO 9001:2008 Certified Journal
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