Low-Power Lossless ECG Encoder SOC Engine Design for Wireless Body Sensor
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 6)Publication Date: 2014-06-30
Authors : Dharitri Ray; B.P. Bhuvana; T.V.U. Kiran Kumar;
Page : 328-331
Keywords : Lossless ECG encoding algorithm; Adaptive fuzzy predictor; Two-stage Huffman encoder; golomb?rice encoder; FPGA..;
Abstract
To design an efficient VLSI architecture of a lossless ECG encoding circuit for wireless healthcare monitoring application.This system eventually helps in hospitals for easily to monitoring the patient ECG signal at 24 hour in house or healthcare.This technology can also be well utilized in all regions. For ECG signal compression andin order to save wireless transmission poweranovel lossless encoding algorithm is proposed. This algorithm containsa novel adaptive predictor which is based on fuzzy decision control, and a novel hybrid entropy encoder including both a two-stage Huffman and a Golomb-Rice coding. Compared to previous low-complexity and highperformance lossless ECG encoder studies, this design is expected to have a higher compression rate, lower power consumption and lower hardware cost than other VLSI designs.
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Last modified: 2014-07-04 19:59:05