An efficient lossless data compression method based on exponential-Golomb coding for biomedical information and its implementation using ASIP technology

Abstract

This paper proposes an efficient lossless data compression method, based on exponential-Golomb coding, that takes advantage of the characteristics of biomedical information, and an instruction set and implementation of an application domain specific instruction set processor (ASIP) for biomedical information compression. Simulation results, using intravesical pressure and rectum pressure data as benchmarks, show that the data compression ratio of the proposed method is about 77%, and execution cycles and energy consumption are reduced about 28% and 27%, respectively, compared to those by a conventional RISC processor.