VLSI –Fuzzy Decision Controller Based ECG Encoder

The electrocardiogram (ECG) is an important biomedical signal and widely used to monitor the function of heart. Continuous remote monitoring of ECG signal of the patients has become necessary nowadays. Since ECG sensors produces large amount of data continuously, it is difficult to store and transmit ECG records. Hence VLSI based data compression techniques are used for low power wireless transmission and transmit more data with limited bandwidth. In this perspective, a novel VLSI (Very Large Scale Integration) based data compression algorithm using fuzzy based decision controller is proposed in which four second order prediction equations had been mathematically formulated based on the present and past 2 samples. In order to select the appropriate equation based on the present, difference of the past samples and slope directions of sample, a fuzzy based decision controller is implemented for encoding. The difference between predicted and original data is encoded and listed in the lookup table. The lookup table maintains a variable length code at every instant to represents a shorter code length for frequently occurring difference values and longer code length for less probable difference values. The proposed method shows an improvement of 2.667 compression ratio, delay, time period and power consumption than the existing system with compromise in the number of logical elements.