A Code-Recombination Algorithm-Based ADC With Feature Extraction for WBSN Applications
A Code-Recombination Algorithm-Based ADC With Feature Extraction for WBSN Applications
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DOI：
10.1109/tvlsi.2021.3128166
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发表时间：
2021-11-30
影响因子：
2.8
通讯作者：
Ning, Ning
中科院分区：
文献类型：
--
作者：
Zhang, Zhong;Yu, Qi;Ning, Ning
针对无线人体传感器网络(WBSN)中的可穿戴式心电传感器，提出了一种具有通用特征提取功能的低功耗编码重组(CR)模数转换器。CR ADC具有前向搜索过程(SFP)和后向搜索过程(SBP)，以寻找减少位周期和功耗的部分量化步骤。此外，CR ADC输出名为K DATA的数字流作为压缩特征。采用0.13微米的工艺制作了一个原型芯片，其中包括一个所提出的模数转换器。在0.6V电源电压和10kS/S采样率下，所测得的信噪比失真范围和无杂散动态范围分别为58.34和70.2dB。当输入残差在ADC分辨率和参考电压定义的预测范围内时，ADC仅消耗40-NW的功率，实现6.2 fJ/转换步长的品质因数(FOM)。数据K占原始数据的2/5，用于对心血管疾病进行分类，准确率至少为96%。
This article presents a low-power code-recombination (CR) analog-to-digital converter (ADC) with generic feature extraction for wearable electrocardiogram (ECG) sensors in wireless body sensor network (WBSN) applications. The CR ADC features a search forward procedure (SFP) and a search backward procedure (SBP) to hunt for part of the quantization steps cutting down bitcycle and power consumption. Also, CR ADC outputs a digital stream named K data served as a compressed feature. A prototyped chip including a proposed ADC is fabricated in a 0.13-mu m CMOS process. With a 0.6-V supply voltage and a 10-kS/s sampling rate, the measured signal-to-noise-distortion range (SNDR) and spurious-free dynamic range (SFDR) are 58.34 and 70.2 dB, respectively. The ADC consumes only 40-nW power when input residue is within the prediction range defined by ADC's resolution and the reference voltage, achieving a figure-of-merit (FoM) of 6.2 fJ/conversion-step. The data K occupy 2/5 of the raw data and are conducted to categorize cardiovascular diseases illustrating at least 96% accuracy.