Efficient Hardware Implementation of ECG Derived Respiration (EDR) System, Applied to Body Area Network (BAN)

Shayei, Ali | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45099 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Shabany, Mahdi
  7. Abstract:
  8. The rapid growth in the health care technology, has made the Body Area Network (BAN) as an attracting topic for research and design development. BAN devices have restrictions on their size and power consumption. Monitoring the respiratory signal is crucial in many medical applications and is normally part of a BAN system. Traditional methods for the respiration measurement are normally based on measuring the volume of air inhaled and exhaled by lungs (like a spirometer) or oxygen saturation in blood. However, these methods have numerous drawbacks including their high cost and limited accessibility. In this thesis, a novel scheme is proposed to derive the respiratory signal from the Electrocardiography (ECG) signal. The proposed scheme uses the cubic spline interpolation (CSI) of R-waves in the ECG to derive the respiratory signal. The CSI technique is also used in order to estimate and remove the baseline wander, which is one of the most challenging problems in the ECG processing. The CSI algorithm is made efficient with respect to ECG features in order to reduce the latency and the complexity of calculations. In addition, an efficient hardware architecture for real-time and low-power applications is proposed and implemented to be the first reported hardware to-date. The proposed architecture is implemented both on FPGA for real-time verifications as well as synthesized using an 180nm CMOS process. Operating at 1.8V supply, the design consumes an ultra low power of 1.23mW occupying 3.4mm2 of silicon area
  9. Keywords:
  10. Hardware Implementation ; Electrocardiography ; Fetal Electrocardiagram (ECG)Signals

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