A Highly Integrated Biomedical Multiprocessor SoC Design for a Wireless Bedside Monitoring System

Abstract

This paper presents a highly integrated multiprocessor system-on-chip (SoC) design, enabling real-time processing of multi-biomedical signals in a wireless bedside monitoring system. This system includes a real-time online recursive independent component analysis (ORICA) processor to automatically remove brain electroencephalogram (EEG) artifacts signals, a heart rate variability (HRV) analysis processor for monitoring electrocardiogram (ECG) signals, and a basic biomedical signal processor for monitoring common physiological data such as oxygen saturation, blood pressure, or body temperature. The multiprocessor chip is fabricated using TSMC 90 nm CMOS technology, and occupies a core area of 1,600 x 1,600 um(2). Simulated power consumption is 15.89 mW under the conditions of 1.0V core supply voltage and 64 MHz clock operation frequency.