ECG (electrocardiogram) is a test that measures the electrical activity of the heart. An efficient and low power VLSI implementation of compression algorithm has been presented in this concept. To improve the performance, the proposed VLSI design uses bit shifting operations as a replacement for the different arithmetic operations. ECG compression algorithm comprises two parts: an adaptive linear prediction technique and content-adaptive Golomb Rice code. Further this project is enhanced by Fuzzy-based PSO technique. Proposed coding is efficient technique which allows a compact representation of data by electively reducing the error between the data itself and information “predicted” from past observations. The prediction techniques build an estimate x'(n) for a given sample x(n) of the signal by using past two samples with low power and less area.