National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : EC4716 : Analytical and Biomedical Instrumentation Laboratory { 0-0-2 / 1}

Subject Nature : Practical

Coordinator : Dr. Sudip Kundu

Syllabus

List of Experiments:


1. Develop a VI
a. To perform amplitude modulation of two signals
b. To perform auto correlation of a signal and cross correlation of different signals
c. To find FFT of a 50Hz sine wave
d. To showcase sampling and aliasing effects in a signal
e. To demonstrate Gibb’s phenomena

2. The data files ecg2x60.txt contains an ECG (Electrocardiogram) signal in mV sampled at 200Hz, with a significant amount of 60 Hz power-line artefacts (Artefact is an apparent
undesirable effect on the measured signal with a small frequency band). a) Develop a VI to remove this artefact (55 Hz to 65 Hz) using band stop filter. b) Effect of the filter should be observed by plotting the (FFT) magnitude spectrum of the signal with noise and after removing noise. Calculate R to R interval (average) from the noise removed ECG signal and calculate Heart Rate (HR). d) Find the difference between R and S in mV. e) Find the duration of T wave.
3. Using biomedical toolkit of LabVIEW, acquire non-invasive blood pressure (NIBP)
signal with different heart rate. Plot the graph of cuff pressure. Find systolic, diastolic
and mean arterial pressure (MAP)
4. Acquire audio signal from microphone using PC sound card as data acquisition system and save the sound in .WAV format as a sound file using LabVIEW. Find the FFT, Power spectral density and spectral density of a signal. Later read the .wav file and play the sound on speaker using LabVIEW.
5. Interface Vernier ECG sensor with LabVIEW using NI MyDAQ and acquire the real time ECG signal. Remove the noise and calculate R to R interval (average) from the noise removed ECG signal and calculate Heart Rate (HR). Find the difference between R and S in mV, the duration of T wave.
6. Interface Vernier Blood Pressure sensor with LabVIEW using NI MyDAQ and measure the blood pressure . Find out the systolic and diastolic pressure, and compare whether the blood pressure is Normal, High BP or Hypersensitive.
7. Interface Vernier Hand Dynamometer sensor with LabVIEW using NI USB 6008 and measure the muscle strength of your hand. Calibrate the signal into force of different unit like Newton, Kgf and Pound. Plot them in one chart. Calculate the maximum and average force.
8. Interface Vernier Hand Grip sensor with LabVIEW using NI USB 6008 and measure the heart rate.

Course Objectives

  • To enable Students to acquire biopotentials signals like ECG, EEG and EMG, analyse them and design instrumentation system for the same and learn different techniques on analytical instrumentation.

Course Outcomes

After completion of this course the students will be: <br /> <br />CO1: Able to carry out research and development in the area of biomedical and analytical Instrumentation. <br />CO2: well versed with the NI LabVIEW and MATLAB simulation environment. <br />CO3: Able to acquire, simulate and analyze the bio-signals. <br />CO4: Able to acquire, simulate and analyze the blood pressure signals. <br />CO5: Able to write the experimental report.

Essential Reading

  • Surekha Bhanot, Process Control: Principles and Applications, University press
  • J. G. Webster, Medical Instrumentation: Application and Design, Wiley

Supplementary Reading

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