Wednesday, 24 January 2018

Embedded projects in chennai



ANDROID BASED SMART TREMOR DETECTOR
AIM:
to design a android app for detection of hand tremor using variable accelerometer
Abstract
Smart application for hand tremor detection is realized here. One of the most common concerns in the attention of patients with Parkinson's disease is the difficult to objectively evaluate the illness progress or the treatment efficacy, in terms of tremors intensity and frequency. Patient shakes are produced by the gradual degradation of the pigmented neurons in the brain’s substantia nigra. To tackle such problem, this work proposes a Smartphone application for the quantitative detection, measurement and analysis of the Parkinson's tremor. To achieve this goal, an Android platform was proposed, because it’s widespread among Smartphone users, and the low cost of some Android compliant devices. This work covered research aspect about the symptoms of the Parkinson's disease, how to measure them, and the design, development and implementation of an application to get quantitative measurement of Parkinson´s symptoms. The idea of the Parkinson Tremor Detection software is to offer an alternative application that could be downloaded by patients or medical staff from the Internet directly into their phones to be used at any moment.
Existing system
In the existing system, the work proposes a Smartphone application for the quantitative detection, measurement and analysis of the Parkinson's tremor. To achieve this goal, an Android platform was proposed, because it’s widespread among Smartphone users, and the low cost of some Android compliant devices.
Proposed System
In the proposed system , (HH)Hand hold device is designed so that the person should keep the sensing system by holding the hands.Frequent Selftest can be made throughout the day by using android app.Depends on the persons strength and stability level the tremor level changes. That is varied through accelerometer.
 




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Monday, 25 December 2017

Medical image processing using FPGA


Medical image processing using FPGA

Medical images are more complicated one with minute points contains info of the particular diagnostic issues.Processing such medical images need more accurate algorithm which will synchronize with the machine frequency and measuring device frequency.

Capturing the medical images are done by MRI scan and CT Scan.VLSI design plays a good role in processing the image values efficiently.VLSI projects related to medical imaging involves in iterative classifications and unique algorithms to improve the accuracy.

MRI CT scanned images are feature extracted and image features are studied.Color pixel values are further converted into gray scale images.Image size is being resized for  matching with the processing matrix.The resized image values are further dilated and edge detected.

The final threshold values are processed using FPGA Hardware where the improved DCT algorithm is developed.Discrete cosine transform is being implemented in the Digital environment in which the frequency of operation is variable and the digital blocks are configurable.

IO ports are connected with wireless transceivers to enable the information send and receive can be done in a easy and quick way.Now a days IOT plays a major role.To send and view the processed info in IOT screen globally the resultant values are sent to a cloud to display in the IOT Window.

BLOCK DIAGRAM






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