Realization of efficient low power encoding methodology for ECG biomedical signal processing system

Abstract

Contribution of Digital signal processing in the field of Biomedical is undisputable DSP processors are employed to sample and process the analog inputs acquired from a human organ DSP processor are the most area and power consuming electronic units due to its multidimensional data processing nature Portable Biomedical devices are the state of art important development in this digital era of electronic gadgets Electrocardiogram ECG unit is one of the vastly used biomedical device which operations are very crucial in preserving a human life Portable ECG devices are introduced in later 90s and is still being researched for both signal processing and electronics design improvisations To achieve power and area efficiency the individual computational components of DSP unit is integrated into a single chip called System on Chip SoC design This research work proposes various power and area reduction strategies in the design of Biomedical DSP devices Data transfer between SoC and other units can be done using serial parallel data buses which often is the major power consuming area A hybrid approach of utilizing Shift Invert Bus encoding strategy is introduced to reduce the unnecessary switching activities during data transfer The problem of two separate indication bit is reduced by using a Phase encoded Shift invert Bus encoding method which embeds the two bit indication lines into a single bit encoded line The proposed method PESHINV method is compared with existing newline