Design of a Memory-based FFT for Real-Time Heart Rate Estimation System

• Main Authors: Lan, Chi-Jen, 藍啟仁
• Other Authors: Tsai, Shang-Ho
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/36496748683228894629

碩士 === 國立交通大學 === 電控工程研究所 === 99 === This thesis presents a memory-based fast Fourier transform (FFT) for a real time heart rate estimation system for wearable textile sensors. The electrocardiogram (ECG) is seriously affected by loose contact between biopotential electrodes and skin, and body movement. Also, it has baseline wander interference. For the baseline wander interference, we use the subspace approach to remove the baseline wander component, then uses the absolute operation for heart rate estimate. The method of heart rate estimation applies the correlation technique to find the R-R interval and estimates the heart rate. For the requirement of real time, we use rank one adaptive algorithm to find dominant eigenvalue by the power method. For the heart rate estimator, we use FFT and IFFT to achieve the correlation technique. In the hardware implementation, we use FPGA implementation to achieve the signal processing and heart rate estimation. In the proposed FFT, we adopt memory-based architecture to reduce area and power dissipation since heart rate estimation system is a low frequency system. The resulting design are compiled and download to the Altera EP2C35F672 Cyclone II FPGA device for real-time verification.