Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/18420
Title: Low power low noise analog front-end IC design for biomedical sensor interface
Authors: ZOU XIAODAN
Keywords: low-noise amplifier, biomedical circuits, low power system, multi-channel recording, pseudo-resistor, integrated circuits
Issue Date: 18-Jan-2010
Source: ZOU XIAODAN (2010-01-18). Low power low noise analog front-end IC design for biomedical sensor interface. ScholarBank@NUS Repository.
Abstract: In the ageing society, the focus of the future healthcare services is moving from treatment to prevention. Wearable health monitoring system is a possible solution to build the prevention-oriented, consumer-driven model for future healthcare system. This thesis presents the design of the low-power, low-noise analog front-end ICs for biomedical sensor interface. A cross-domain optimization technique that balances the power consumption between analog and digital blocks was explored. The technique was applied to the design of several sensor interface chips, which include a 445nW fully integrated programmable ECG chip, a 32-channel 22uW implantable EEG chip and a 16-channel 60uW neural recording chip. The outstanding performances of these chips verify the developed algorithm successfully. Low noise front-end amplifiers developed in this thesis achieve low noise efficiency factor (NEF) from 2.16 to 3.26, which are among the lowest numbers reported to date and indicate optimum noise to power trade-off. A fully balanced tunable MOS-bipolar active pseudo-resistor structure was proposed in this project, where a THD of 0.6% at rail-to-rail output swing was achieved. Many biomedical applications require multi-channel recording, which imposes more rigid requirement for chip area and power. An innovative system architecture proposed in this thesis solves the dilemma among the system bandwidth, input referred noise and chip area, providing an optimum solution for multi-channel biomedical recording ICs.
URI: http://scholarbank.nus.edu.sg/handle/10635/18420
Appears in Collections:Ph.D Theses (Open)

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