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APPLICATION OF DSP IN BIOMEDICAL ENGINEERING

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DSP IS NOW A MAJOR BRANCH OF ENGINEERING AND OFTEN USED IN MANY FIELDS. THE PRESENTATION DEALS WITH APPLICATION OF DSP IN BIOMEDICAL ENGINEERING FIELD.

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APPLICATION OF DSP IN BIOMEDICAL ENGINEERING

  1. 1. APPLICATION OF DSP IN BIOMEDICAL ENGINEERING BY: 14ES38(GL),14ES112,14ES28,14ES72,14ES44
  2. 2. AGENDA • BACKGROUND INFOMATION • INTRODUCTION • APPLICATION OF DSP IN BIOMEDICAL ENGINEERING • ECG • HEARING AID • MRI • MEDICINE • CONCLUSION • REFERENCES
  3. 3. BACKGROUND INFORMATION • A historical trend of the last half-century is the replacement of analog signals by digital signals. • [1] It was in the 1960s that a discipline of digital signal processing began to form. • Two very important advantages to digital signals: i. Digital signals can be reproduced exactly ii. Digital signals can be manipulated easily. • Today digital signal processing is a major branch of engineering.
  4. 4. INTRODUCTION • DSP SYSTEM: • Without DSP, it would not be easy to analyze and visualize data and perform their design, and so on. • DSP is very often used method in a biomedical engineering research. • Medical instruments would be less efficient for precise diagnoses if there were no digital electrocardiography (ECG) analyzers or digital x-rays and medical image systems.
  5. 5. APPLICATION OF DSP IN BIOMEDICAL ENGINEERING DSP APPLICATIONS EEGMEDICINEMRI HEARING AID
  6. 6. HEARING AID • A hearing aid is simply an electronic sound amplifier. • You've seen people on stage speak into a microphone and have their voices hugely amplified by giant loudspeaker so crowds can hear them. • A hearing aid works exactly the same way, except that the micro phone, amplifier, and loudspeaker (and the battery that powers them) are built into a small, discreet, plastic package worn behind the ear. • Types: Analog Hearing Aid and Digital Hearing Aid
  7. 7. ANALOG HEARING AID
  8. 8. DIGITAL HEARING AID(DSP OR DIGITAL SIGNAL PROCESSOR)
  9. 9. ADVANTAGES ANALOG HEARING AID • Generally cost less than digital hearing aids • Are sometimes more powerful than digital hearing aids • Long time hearing aid users sometimes prefer analog over digital DIGITAL HEARING AID • Can be programmed with noise reduction algorithms to help reduce background noise • Highly programmable for various listening environments • Most flexible and adjustable for specific user needs
  10. 10. MRI  A real-time-time cardiac magnetic resonance imaging (MRI) system has been implement using digital signal processing (DSP) technology.  The system enables real-time acquisition, processing and display of cardiac movies at moderate video rates of 20 images/sec.
  11. 11. WHAT IS MRI  Hydrogen atom nucleus (proton) is acting as micro magnet.  Human body is full of proton in every organ and tissues but with different concentration in different structure. “That’s where the “M” agnetic of MRI comes from”
  12. 12.  Each proton is rotating around its axis as 63,000,000 rotation per second  now we need to capture the emitted energy from RF coil. When the RF power is sent (at 63MHz), protons from whole body respond. It is needed to select certain “slice” to image
  13. 13. Now the 63MHz RF pulse excites only the 63MHz slice that’s the “R”esonance of MRI comes from Remember human body is 3D, slice direction can be determined by using any of three(x,y,z) gradient i:e. Axial, Sagittal, Coronal
  14. 14. MEDICINE
  15. 15. WHAT IS BLOOD PRESSURE? Description: • Blood pressure is one of physiological variables, • Sphygmomanometer, which determines the blood pressure with other means ,such as heart signals. • BP indicates the force with which blood is driven through the heart. • It is divided into two sections i)Systole ii)Diastole
  16. 16. THE ACQUISITION OF A BLOOD PRESSURE SIGNAL • A blood pressure (BP) signal contains clinically relevant components up to about 20 Hz. • The signal is contaminated by noise at the mains frequency (50Hz) and other noise (mainly below 50 Hz) may also be present. • Now ,what should be sampling rate?
  17. 17. EEG  EEG stand for electro-encephalo-graph  Recording of electrical signals from human brain  signal's parameters and patterns indicate the health of the brain  EEG is the key area of biomedical data analysis  DSP functions are used to analyze the EEG signals
  18. 18. CHARACTERISTICS AND ORIGIN OF BRAIN WAVES
  19. 19. DSP BASED ANALYTICAL METHODS  Spectral estimation  Periodogram  Maximum entropy method  AR method  ARMA method  Maximum likelihood method
  20. 20. CONCLUSION • The importance of DSP in biomedical engineering is quite clear now. • Without DSP, it would not be convenient for doctors to give proper treatment to patient. • Results would be uncertain without DSP. • Efficiency of medical instruments is enhanced using DSP.
  21. 21. REFERENCES  http://ethw.org/Digital_Signal_Processing [1]  https://www.ncbi.nlm.nih.gov/pubmed/10504098  citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.595.4711&rep=rep1...  http://www.slideshare.net/kanusinghal3/medical-applications-of- dsp?next_slideshow=1  https://www.isip.uni-luebeck.de/uploads/tx_wapublications/EEG_DWT_01.pdf  http://www.eeherald.com/section/design-guide/dg100008.html

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