Title :
Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications
Author :
Dongsoo Kim ; Goldstein, B. ; Wei Tang ; Sigworth, F.J. ; Culurciello, Eugenio
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
In this paper, we report on the noise analysis of low current measurement systems for biomedical applications and their fundamental limits. We analyzed resistive feedback, capacitive feedback and current amplifier circuits for low current measurement systems. Detailed noise analysis for different biomedical applications are presented and matched with measurement data using a 0.5-μm fabrication process. Based on the theoretical analysis and the corresponding measurement results, the capacitive feedback system provides better noise performance for the measurement of low current than the others. The capacitive feedback circuit is capable of measuring 750 fA RMS at a 10 kHz sampling rate, whereas the resistive feedback provides 4 pA and the current conveyor provides 600 pA at the same bandwidth. This paper provides design guidelines to maximize the performance of low current measuring system for biomedical instrumentation and to provide the best performance available with CMOS technologies.
Keywords :
CMOS integrated circuits; bioelectric phenomena; biomedical electronics; biomedical measurement; current conveyors; noise; operational amplifiers; CMOS technologies; biomedical applications; biomedical instrumentation; capaciitive feedback circuit; capacitive feedback system; current amplifier circuits; current conveyor; fabrication process; frequency 10 kHz; low current measurement systems; measurement data; noise analysis; noise performance; performance comparison; resistive feedback; Biomedical measurements; Current measurement; DNA; Integrated circuit modeling; Nanobioscience; Noise; Noise measurement; Biomedical measurements; capacitive feedback; current conveyor; current measurement; integrator; low current measurement system (LCMS); low noise circuit; noise analysis; resistive feedback; Biomedical Engineering; Electric Capacitance; Models, Theoretical; Signal-To-Noise Ratio;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2012.2192273