Low Power Fault Tolerant System For Ballistocardiogram Signal

Ballisto-CardioGram is an upcoming technique to detect the health of the heart. Basically it measures the force in the blood vessels. It is one of the noninvasive technique for producing a graphical representation of repetitive motions of the human body arising from the sudden ejection of blood into the great vessels with each heartbeat. The paper proposes an efficient architecture for BCG signal filtering using different types of FIR filter architecture such as direct form FIR, Transposed form of FIR, LMS adaptive filter and DLMS adaptive filter. Different filter architectures are implemented to minimize the power consumption. Performance parameters like mean square error (MSE), Mean Absolute Error (MAE) and Power Supply Rejection Ratio (PSRR) are considered for evaluation. The architecture is implemented for 2, 3, 4, 5, 6-Tap filtering scheme using Xilinx ISE simulator. The paper concludes with comparing the results of different sensors and also able to achieve different peaks of BCG signal. With the results obtained, the author concludes that minimum three sensors are required to detect all the peaks of the BCG signal and to state whether the signal is normal or abnormal.