⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一种直接数字化前端，采用Delta放大技术来增强动态范围和能效，适用于神经接口应用。通过将第一级放大器带宽设置在奈奎斯特率以下，有效防止热噪声和输入干扰的混叠，实现了3.47的NEF和175.2dB的FOMS。
University of Pittsburgh, Pittsburgh, PA In addition, the first-stage amplifier bandwidth is set slightly below the Nyquist rate (100kHz), preventing aliasing of thermal noise and input interference. Therefore, the inputreferred noise is derived as IRNtot (μVrms) = %(IRNAFE2+ 4kT/(CDAC·OSR·A2) + Qnoise2/A2 ), where Qnoise is NS-SAR quantization noise and A is the gain of the amplifier. CDAC is chosen at 3.6pF for the kT/C noise requirement. Since all NS-SAR noise is divided by A, the amplifier’s IRN becomes the dominant noise source. With an amplifier NEF of 1.7, the structure achieves a lower noise level than conventional delta-sigma ADCs. 1 2 Bio-signal monitoring systems have recently been widely applied to implantable and wearable devices for healthcare applications. However, they require extremely low-noise front-end circuits to ensure reliable recording while receiving a very small signal (e.g., the
Kyeongwon Jeong1, Can Livanelioglu1, Jiawei Liao1, Inhee Lee2, Taekwang Jang1
ETH Zürich, Zürich, Switzerland