Energy efficient VLSI decoder chip with reduced PAPR in FECG monitoring

Abstract

ABSTRACT Medical data transmission is a major challenge in wireless communication to preserve their integrity and coherence. Orthogonal frequency division multiplexing (OFDM) has emerged as a modulation scheme that can achieve high data rates over frequency selective fading channel by multipath effects. As the foetal ECG (FECG) signal is large to process, the dimensionality of the data is reduced by linear discriminant analysis (LDA) and is then sent through the space time block coded (STBC) multiple input multiple output (MIMO) upon using cockroach swarm pptimisation algorithm as a classifier to demarcate the FECG signal from noise. This paper also proposes decoder design for STBC transmission over frequency-selective time-variant channels with data recovery at the receiver by using proposed error prediction and correction adders (EPD) to achieve reduced peak to average power ration (PAPR). The simulation results prove that the PAPR reduces by 1.3 dB and the sensitivity of classifier is 96.4%. The implementations are carried out over 200 data sets taken from MIT-BIH arrhythmia using simulation tools such as MATLAB 2013b, ModelSim 10.0b and Cadence Virtuoso under 65 nm. The finally fabricated and tested decoder chip consumes an average power of 0.64 µW.