Skip to main content

Stretch the dynamic range of the given 8-bit grayscale image using MATL...

How to design multirate filter system for EMG signals

 I am using Delsys Bagnoli EMG System to acquire sEMG from forearm muscles. When I use Delsys EMGworks application, output signals are clean as expected with minor interferences. However, when I use the following Matlab script to acquire the  signal unusual signal pattern occured (spikes).

the image of frequency domain of the Data (Red color frequencies contains EMG information) acquired from Matlab script is attached herewith.
I want to know why this happens and how to remove thoses spikes
%% EMG initialize
raw = zeros(1,6);

% EMG setup
emg = daq.createSession('ni');
ch1 = addAnalogInputChannel(emg, 'Dev1', 0, 'Voltage');
ch2 = addAnalogInputChannel(emg, 'Dev1', 1, 'Voltage');
ch3 = addAnalogInputChannel(emg, 'Dev1', 2, 'Voltage');
ch4 = addAnalogInputChannel(emg, 'Dev1', 3, 'Voltage');
ch5 = addAnalogInputChannel(emg, 'Dev1', 4, 'Voltage');
ch6 = addAnalogInputChannel(emg, 'Dev1', 5, 'Voltage');
emg.Rate = 4000;                           % sampling rate
lh = emg.addlistener('DataAvailable',@stopWhenExceed);
emg.NotifyWhenDataAvailableExceeds = 400; % data per one feature set (total of all channels)
emg.IsContinuous = true;
emg.startBackground();

while 1
   
    % check the existing time.mat file
    time(end + 1 : end + 1, 1) = str2double(datestr(now,'SS.FFF'));
    pause(0.01); % this pause should be there to acquire EMG data

    if (getGlobalSx==0)           % if new set of data is available
        data = getGlobalx;          % aquire data
        setGlobalSx(1);
    end
    raw(end +1:end+400, : ) = data;
    
end


ANSWER



Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

I realized that the pause we provide to the code to acquire EMG data should be equal to the,

 

emg.NotifyWhenDataAvailableExceeds / emg.Rate
which means 400/ 4000 = 0.1 not 0.01
 
Otherwise this multirate signal sampling happens.
 
while 1
   
    % check the existing time.mat file
    time(end + 1 : end + 1, 1) = str2double(datestr(now,'SS.FFF')); 

SEE MORE ANSWER CLICK THE LINK

https://www.matlabsolutions.com/resources/how-to-design-multirate-filter-system-for-emg-signals.php

 

Comments

Popular posts from this blog

https://journals.worldnomads.com/scholarships/story/70330/Worldwide/Dat-shares-his-photos-from-Bhutan https://www.blogger.com/comment.g?blogID=441349916452722960&postID=9118208214656837886&page=2&token=1554200958385 https://todaysinspiration.blogspot.com/2016/08/lp-have-look-at-this-this-is-from.html?showComment=1554201056566#c578424769512920148 https://behaviorpsych.blogspot.com/p/goal-bank.html?showComment=1554201200695 https://billlumaye.blogspot.com/2012/10/tagg-romney-drops-by-bill-show.html?showComment=1550657710334#c7928008051819098612 http://blog.phdays.com/2014/07/review-of-waf-bypass-tasks.html?showComment=1554201301305#c6351671948289526101 http://www.readyshelby.org/blog/gifts-of-preparedness/#comment_form http://www.hanabilkova.svet-stranek.cz/nakup/ http://www.23hq.com/shailendrasingh/photo/21681053 http://blogs.stlawu.edu/jbpcultureandmedia/2013/11/18/blog-entry-10-guns-as-free-speech/comment-page-1443/#comment-198345 https://journals.worldnomads.com

USING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR DETECTING SPAM AND NON-SPAM EMAILS

    ABSTRACT We know the increasing volume of unwanted volume of emails as spam. As per statistical analysis 40% of all messages are spam which about 15.4 billion email for every day and that cost web clients about $355 million every year. Spammers to use a few dubious techniques to defeat the filtering strategies like utilizing irregular sender addresses or potentially add irregular characters to the start or the finish of the message subject line. A particular calculation is at that point used to take in the order rules from these email messages. Machine learning has been contemplated and there are loads of calculations can be used in email filtering. To classify these mails as spam and non-spam mails implementation of machine learning algorithm  such as KNN, SVM, Bayesian classification  and ANN  to develop better filtering tool.   Contents ABSTRACT 2 1. INTRODUCTION 4 1.1 Objective : 5 2. Literature Review 5 2.1. Existing Machine learning technique. 6 2.2 Existing

Why are Fourier series important? Are there any real life applications of Fourier series?

A  Fourier series  is a way of representing a periodic function as a (possibly infinite) sum of sine and cosine functions. It is analogous to a Taylor series, which represents functions as possibly infinite sums of monomial terms. A sawtooth wave represented by a successively larger sum of trigonometric terms. For functions that are not periodic, the Fourier series is replaced by the Fourier transform. For functions of two variables that are periodic in both variables, the trigonometric basis in the Fourier series is replaced by the spherical harmonics. The Fourier series, as well as its generalizations, are essential throughout the physical sciences since the trigonometric functions are eigenfunctions of the Laplacian, which appears in many physical equations. Real-life applications: Signal Processing . It may be the best application of Fourier analysis. Approximation Theory . We use Fourier series to write a function as a trigonometric polynomial. Control Theory . The F