Biomedical Engineering Desk Reference by by Buddy D. Ratner ... [et al.] edited by Mike Tooley

By by Buddy D. Ratner ... [et al.] edited by Mike Tooley

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Variable M contains the sampled data, that is, two signals, one in each column of the array. The sampling frequency is stored in a separate MATLAB variable, sfreq. For the given sample, the sampling rate was 360. If the subject’s heart rate was 60 bpm, at the given sample rate, 4 QRS complexes would be captured in 1440 samples. Displaying the first 1440 samples of the first channel, as shown in Fig. 2–6, plot(M(1:1440,1)) shows that the real heart rate is greater than 60 bpm. Now that the data is in a MATLAB variable, the true heart rate can be easily computed by finding the R waves (the peaks) and computing the R–R interval.

A more realistic signal will still have more realistic frequency content. 2 Reading PhysioBank data To solve some of the problems, one may have to access the PhysioBank archives using the Chart-O-Matic Web browser (which uses the PhysioToolkit function rdsamp). The instructions are to download a text file and write a MATLAB script that would read the text file. There are also MATLAB scripts available to read the raw PhysioBank data files directly. 2 Read and visualize PhysioBank signals and annotations.

If the sum is less than 20, then go to step 3. Introduction to computing 3. Generate a random number and add it to the sum. Add 1 to the count of random numbers generated. Go to step 2 to check the sum. 2 For loops There are variations of iterative control structures, just as there were variations of the control structures for conditional execution. end, in MATLAB) is a repetition structure where the block is repeated a fixed number of times, once for each value of a control variable. Typically, the execution of the block changes with the control variabledfor example, accessing a different element of an array.

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