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https://doi.org/10.3390/s150819466
Title: | A high performance delta-sigma modulator for neurosensing | Authors: | Xu J. Zhao M. Wu X. Islam M.K. Yang Z. |
Keywords: | Analog integrated circuits CMOS integrated circuits Data acquisition Delta sigma modulation Electric discharges Electromagnetic pulse Operational amplifiers Signal to noise ratio Surface discharges Delta sigma modulator Dynamic range Quantizers Sensor interface Switched op-amp Modulators action potential analog digital converter animal computer simulation devices electricity epilepsy human neuroscience physiologic monitoring physiology procedures rat semiconductor signal noise ratio wireless communication Action Potentials Analog-Digital Conversion Animals Computer Simulation Electricity Epilepsy Humans Monitoring, Physiologic Neurosciences Rats Semiconductors Signal-To-Noise Ratio Wireless Technology |
Issue Date: | 2015 | Publisher: | MDPI AG | Citation: | Xu J., Zhao M., Wu X., Islam M.K., Yang Z. (2015). A high performance delta-sigma modulator for neurosensing. Sensors (Switzerland) 15 (8) : 19466-19486. ScholarBank@NUS Repository. https://doi.org/10.3390/s150819466 | Abstract: | Recorded neural data are frequently corrupted by large amplitude artifacts that are triggered by a variety of sources, such as subject movements, organ motions, electromagnetic interferences and discharges at the electrode surface. To prevent the system from saturating and the electronics from malfunctioning due to these large artifacts, a wide dynamic range for data acquisition is demanded, which is quite challenging to achieve and would require excessive circuit area and power for implementation. In this paper, we present a high performance Delta-Sigma modulator along with several design techniques and enabling blocks to reduce circuit area and power. The modulator was fabricated in a 0.18-µm CMOS process. Powered by a 1.0-V supply, the chip can achieve an 85-dB peak signal-to-noise-and-distortion ratio (SNDR) and an 87-dB dynamic range when integrated over a 10-kHz bandwidth. The total power consumption of the modulator is 13 µW, which corresponds to a figure-of-merit (FOM) of 45 fJ/conversion step. These competitive circuit specifications make this design a good candidate for building high precision neurosensors. © 2015 by the authors; licensee MDPI, Basel, Switzerland. | Source Title: | Sensors (Switzerland) | URI: | https://scholarbank.nus.edu.sg/handle/10635/175285 | ISSN: | 1424-8220 | DOI: | 10.3390/s150819466 |
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