Page 105 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

b. Median filter and Wiener filter
2. Reducing the number of colors in an image without dithering
3. Image segmentation using Snake algorithm
4. Linear regression of two variables
5. Add and remove noise from a simulated biosignal using singular value decomposition
6. Simulation and processing of respiration signal

TOTAL: 30 PERIODS
OUTCOMES:
On completion of the course students will be able to
• Implement image segmentation methods
• Generate and filter signals

REFERENCES:
1. http://cloud.scilab.in/
2. https://www.physionet.org/

LAB REQUIREMENTS FOR A SET OF 30 STUDENTS
30 systems installed with Scilab (open source software) with Internet.

BM17V13 INTRODUCTION TO R-LAB L T P C
0 0 2 1

LIST OF EXPERIMENTS
1. Calculate the average inflammation, mean, standard deviation per day across all patients
using arithmetic operators and plot the results.
2. For the given input data perform import operation and handle mixed data set on the spread
sheet.
3. Perform data import operations using read function for the following data formats: SPSS,
Stata, SAS, Octave, Minitab, Systat.
4. Perform standard deviation and enable plot operation for the imported data and represent it
graphically using scatter plot, box plot,ggplot2 operators
5. Exhibit Probability Distribution function and estimate the distribution to extract the amount
to diseased people on the given data.
6. Perform Time series and auto correlation operations on the CSV data using R
7. Using K-means Clustering perform multidimensional scaling to project the data into two
Dimension.

TOTAL: 30 PERIODS
LAB REQUIREMENTS FOR 30 STUDENTS

1. 30 computers with R programming software installed along with internet facility.

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 105