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Vinurajkumar, S.
- Control of Robotic Wheel Chair using EMG Signals for Paralysed Persons
Authors
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 1 (2016), Pagination:Abstract
Aim: In recent years, physically challenged people faces more constraint in day to-day movements. In this work, an EMG based hands-free control system for a wheelchair is proposed. Methods: Trapezium EMG signals are acquired, analyzed and then processed into a controlled movements (forward, left, right, etc.) using an embedded circuits for the wheelchair. Results: The system allows the patient to choose a smooth independent movement in the control state or non-control state. The movements depend upon the strength of the EMG signals acquired. Conclusion: The entire system consists of EMG electrodes, a microcontroller and a DC motor for the operation of the wheelchair. The control system is incorporated with muscle processing circuits which give an independent and safe movement to the paraplegic patients.Keywords
EMG, Microcontrollers, Trapezium Muscle, WheelchairFull Text
- Detection of Blood Flow Obstruction through a Method in Healthy and Obsessed Subjects
Authors
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
2 Department of Electronics and Instrumentation Engineering, RMK Engineering College, Chennai - 601206, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 1 (2016), Pagination:Abstract
Objectives: This study involves the measurement of obstructions in the blood flow of an arterial system. An attempt is made to find the correlation between the pressure and flow of the blood. Methods: The obstructed area produces vascular sounds which are acquired through disturbed blood flow patterns. The measurements are carried over by audio frequency analysis of the sound observed during arterial stenosis. These sounds can be measured using piezoelectric film sensor by placing it in the wrist and mid arm in the blood flow path. Results:The sounds that initiate in the narrowed arteries is measured by non-invasive, sensitive piezoelectric film sensor that captures the vibration caused by the flow of blood inside arteries and generate appropriate waveform for different flow conditions. Conclusion: The waveforms are analyzed in spectrum analyzer and compared with the normal flow patterns and if the values deviate from normal it is concluded for occlusion or clot that happened in the blood flow passage.Keywords
Arterial Stenosis, Blood Flow, Occlusion, Piezoelectric Film SensorFull Text
- Detection and Evaluation of Vascular Wall Elasticity using Photoplethysmography Signals in Sinus Rhythm Subjects
Authors
1 Department of Biomedical Engineering, Indian Institute of Technology, Hyderabad - 502285, Telangana, IN
2 Department of Biomedical Engineering, Vel Tech MultiTech, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 2 (2016), Pagination:Abstract
Objective: This study analyzes the dilation and constriction (elastic) properties of blood vessels using a non invasive Photoplethysmography method. The dilation and constriction of blood vessel changes as a function of aging which can be analyzed using the shape of Phototplethsymogram. Methods: A preliminary test is conducted in twenty sinus rhythm subjects in the range between 20 to 73 years. Findings: The parameters like peak ratio, time ratios, valley to peak ratio, stiffness index and augmentation index are the indices to determine the dilation and constriction properties of the blood vessels. Applications/Improvements: The above parameters are evaluated with the help of appropriate hardware and software. Neural networks is trained using these parameters to classify the level of elasticity, using which the abnormalities such as Atherosclerosis, aortic stenosis, aortic regurgitation can be diagnosed.
Keywords
Atherosclerosis, Dicrotic Notch, Peak Ratio, Photoplethysmography, Sinus RhythmFull Text