A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning

A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning

This paper presents a high-precision biomedical sensor system with a novel analog-frontend (AFE) IC and error correction by machine learning. The AFE IC embeds an analog-to-digital converter (ADC) architecture called successive stochastic approximation ADC. The proposed ADC integrates a stochastic f...

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Bibliographic Details
Main Authors: Yusaku Hirai, Toshimasa Matsuoka, Sadahiro Tani, Shodai Isami, Keiji Tatsumi, Masayuki Ueda, Takatsugu Kamata
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical sensor
ECG
error correction
machine learning
SAR-ADC
stochastic A/D conversion
Online Access:https://ieeexplore.ieee.org/document/8636959/

Internet

https://ieeexplore.ieee.org/document/8636959/

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