Presentation Rohit Final

8/6/2019 Presentation Rohit Final

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EEG BASED PROSTHETIC ARM USING LabVIEW

ROHIT GANJU

26SET 144FINAL YR,ETCE C

INTERNAL GUIDE: EXTERNAL GUIDE:

Dr.SURYAKALA Mrs. SANGEETA

H.O.D- ETCE DEPTT. BIO-MEDICAL DEPTT


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INTRODUCTION

What is a Prosthetic Arm:

In medicine, a prosthesis is anartificial extension that replaces a missing

body part. Prostheses are typically used toreplace parts lost by injury (traumatic) ormissing from birth (congenital) or tosupplement defective body parts. Here weintend to design artificial extension to replacea missing hand for a handicapped patient


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OBJECTIVE

The objective is to operate a prosthetic Arm using

only the patients thoughts

The brain generates typical signals responsible for

hand movement

These can be captured using EEG Electrode &necessary hardware


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PROTOTYPE PRINCIPLE

The underlying principle is whenever a hand

movement is imagined Mu-rhythm is generated

This causes changes in parameters like variance,

frequency etc

Based on experimental approximation a thresholdcan be calculated


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This can be used to check condition whether Mu-

Rhythm is present or not

If Yes, the operation of Prosthetics is initiated, else it

remains stationary.

Which means when patient imagines a movement,his arm operates, else it doesnt


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Mu-RHYTHM

These are signals with fixed frequency contents- 8-10

Hz Bandwidth

They are generated at Scalp when a hand movement

is thought by a patient

When a movement is not imagined, they disappearfrom the EEG Signal


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WORK PROJECTION

Stage 1: Import of Raw EEG Data to LabVIEW

Stage2:Implementation of algorithm for Mu-Rhythm detection

Stage3: Generation of signals for Prosthetic Arm

DC Motors

Stage4: Operation of Real time Prosthetic Arm


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LabVIEW

It stands for Laboratory for Virtual Instrumentation

& Engineering Workbench

Award winning software used widely in Automation

Industry

Developed at National Instruments ,Texas,USA

Also called Graphical Programming Language


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INTRO (Contd)

Used to Program complex embedded Hardware

solutions like PLCs,Robots,FPGAs etc

All Inputs & Outputs are shown as Buttons &

Indicators

Easy to use, user friendly compared to other textbased languages


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PROGRAMMING ENVIRONMENT

It is divided into 2 parts- Front Panel & Block Diagram

All Inputs & Outputs are visible inside Front Panel

The inputs are called CONTROL ;Outputs are called

INDICATORS

The elements which cause the program to run are called

as Vis(Virtual Instruments) or functions

They are present in Block Diagram


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FRONT PANEL INLabVIEW


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INPUTS ANDOUTPUTS INLabVIEW


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I/ O s INLabVIEW ( CONTD)


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The Block diagram contains Palettes from which all

functions can be accessed

The functions perform pre-defined task ,if supplied

with required input

For e.g. Array size Vi, present in Array Palette ,givesthe size of the Array as the output


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FUNCTIONS INLabVIEW


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EEG DATA IMPORT

EEG RAW DATA

NOTEPAD FILE

IMPORT FROM

NOTEPAD FILE

Read from spread

sheet File

SPREAD SHEET FILE LabVIEW


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THEORY VALIDATION

To prove the Mu-Rhythm Hypothesis is true

It was assumed that Mu-rhythm disappears when a

person imagines a hand movement

When the Input EEG signals frequency component

reduces from 13-16 Hz to 8- 10 Hz, we say HandMovement was Imagined


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STFT-VALIDATION TOOL

STFT Stands for short time Fourier Transform

The objective is to find out the frequency content of

the input EEG Signal

Fourier Transforms are used normally for this

purpose

However ,using the above method produces

incorrect results


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This is due to random nature of EEG Signals

Hence what is done is the signal is broken into very

small parts and their individual transforms are

performed

This is called Short time Fourier Transform

They can be used to calculate frequency of EEG

Signals


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STFT SAMPLE GRAPH


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This proves the following

4 distinct bands can be seen which lie in the region

10,15,50,100 Hz

More than 1 amplitude value present in all

constituents]

This is shown by different colors

Thus frequencies are 10,15,50,100 Hz


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STAGE1-DATA PROCESSING

The data obtained from hospital was obtained as a

notepad file

The values present inside are the instantaneous

amplitude value of the signal w.r.t time

The amplitude values were recorded at every 2 microseconds


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RAW EEGDATA SCREENSHOT


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Total of 5000 data points obtained for 10 s EEG

recordings

The Notepad file contains data for 6 channels-

C3,C4,Fp1,Fp2,A1,A2

Import of data for 1 channel is done at a time


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DATA IMPORT DESIGN FLOW

The Notepad File contains EEG data for 6 channels C3,C4,Fp1,Fp2,A1,A2

Using the function Import from Text Pad File', thedata is written in Spread sheet File

The file is saved in the computer

In LabVIEW ,under the file I/O Palette use Read fromSpread sheet file VI Function


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DATA IMPORT SCREENSHOT1


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DESIGN FLOW (Contd)

This produces o/p which can be viewed in

waveform graph

The output obtained is 2-D Array which can be

used for further processing


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EEGREADINGSEEGREADINGS RIGHTHAND MOVEMENT LabVIEW ENVIRONMENTRIGHTHAND MOVEMENT LabVIEW ENVIRONMENT


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STAGE2:AlGORITHM

IMPLEMENTATION

The objective of Stage 2 is to perform Mu-Rhythm Detection

A visual(LED) should be lit in the Front Panel when the above

rhythm is detected

A widely accepted parameter- Variance is used to set thethreshold condition

If for the given data, Variance is above threshold, Mu-Rhythm is present else its absent


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NEXT PHASE WORK

The objective here will be to produce necessary

output for the prosthetic Arm components

DC motors must start running when Mu-Rhythm is

detected .

In all other condition, it must be stationary

The operation should be done in Real time Domain

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