Journal Article Behavior-level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-channel Biomedical Data Acquisition

ASANO, Tomohiro  ,  KAMATA, Takatsugu  ,  UEDA, Masayuki  ,  TANI, Sadahiro  ,  MATSUOKA, Toshimasa  ,  HIRAI, Yusaku  ,  KURATA, Toshifumi  ,  TATSUMI, Keiji

E100-A ( 10 )  , pp.2073 - 2085 , 2017-10-01 , 電子情報通信学会 , The Institute of Electronics, Information and Communication Engineers
In the present paper, we propose a novel high-resolution analog-to-digital converter (ADC) for low-power biomedical analog frontends, which we call the successive stochastic approximation ADC. The proposed ADC uses a stochastic flash ADC (SF-ADC) to realize a digitally controlled variable-threshold comparator in a successive-approximationregister ADC (SAR-ADC), which can correct errors originating from the internal digital-to-analog converter in the SAR-ADC. For the residual error after SAR-ADC operation, which can be smaller than thermal noise, the SF-ADC uses the statistical characteristics of noise to achieve high resolution. The SF-ADC output for the residual signal is combined with the SAR-ADC output to obtain high-precision output data using the supervised machine learning method.
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