Simplified Logic Design Methodology for Fuzzy Membership Function based Robust Detection of Maternal Modulus Maxima Location : a Low Complexity Fetal ECG Extraction Architecture for Mobile Health Monitoring Systems

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Description/Abstract

This paper proposes a simplified logic design methodology for the fuzzy membership function used for robust and reliable detection of modulus-maxima locations in wavelet domain for fetal ECG extraction from the abdominal composite ECG signal. This simplification is achieved by exploiting the inherent time-position information of the wavelet coefficients decomposed at different resolution levels. Subsequently, a low complexity VLSI architecture for Fetal ECG extraction is presented which is designed using the recently proposed memory-efficient, multiplierless Discrete Wavelet Transform method. The generic memory model within this architecture will provide the flexibility to configure the on-chip memory with any type of orthonormal wavelets suitable for different applications. Total synthesized cell area of the proposed architecture is 14.2 mm^2 and power consumption is 101.5 uW at 1.2V @1 MHz frequency using 0.13 um standard cell technology. The proposed architecture is targeted for the personalized health monitoring applications within a mobile home-care medical device in the resource constrained environment.