School of Life Science and TechnologyUniversity of Electronic Science and Technology of China Chengdu 610054 China.
School of EngineeringThe University of Edinburgh EH8 9YL Edinburgh U.K.
IEEE J Transl Eng Health Med. 2023 Feb 24;11:211-222. doi: 10.1109/JTEHM.2023.3248621. eCollection 2023.
A novel in-home sleep monitoring system with an 8-channel biopotential acquisition front-end chip is presented and validated via multilevel data analyses and comparision with advanced polysomnography.
The chip includes a cascaded low-noise programmable gain amplifier (PGA) and 24-bit [Formula: see text]-[Formula: see text] analog-to-digital converter (ADC). The PGA is based on three op-amp structure while the ADC adopts cascade of integrator feedforward and feedback (CIFF-B) architecture. An innovative chopper-modulated input-scaling-down technique enhances the dynamic range. The proposed system and commercial polysomnography were used for in-home sleep monitoring of 20 healthy participants. The consistency and significance of the two groups' data were analyzed.
Fabricated in 180 nm BCD technology, the input-referred noise, input impedance, common-mode rejection ratio, and dynamic range of the acquisition front-end chip were [Formula: see text]Vpp, 1.25 GN), 113.9 dB, and 119.8 dB. The kappa coefficients between the sleep stage labels of the three scorers were 0.80, 0.76, and 0.79. The consistency of the slowing index, multiscale entropy, and percentile features between the two devices reached 0.958, 0.885, and 0.834. The macro sleep architecture characteristics of the two devices were not significantly different (all p [Formula: see text] 0.05).
The proposed chip was applied to develop an in-home sleep monitoring system with significantly reduced size, power, and cost. Multilevel analyses demonstrated that this system collects stable and accurate in-home sleep data.
The proposed system can be applied for long-term in-home sleep monitoring outside of laboratory environments and sleep disorders screening that with low cost.
本文提出并验证了一种具有 8 通道生物电位采集前端芯片的新型家庭睡眠监测系统，该系统通过多层次数据分析，并与先进的多导睡眠图进行比较。
该芯片包括级联低噪声可编程增益放大器（PGA）和 24 位[Formula: see text]-[Formula: see text]模数转换器（ADC）。PGA 基于三运放结构，而 ADC 采用积分器前馈和反馈（CIFF-B）架构的级联结构。创新的斩波调制输入缩放技术提高了动态范围。该系统和商业多导睡眠图用于 20 名健康参与者的家庭睡眠监测。分析了两组数据的一致性和显著性。
该采集前端芯片采用 180nm BCD 工艺制造，其输入参考噪声、输入阻抗、共模抑制比和动态范围分别为[Formula: see text]Vpp、1.25 GN）、113.9 dB 和 119.8 dB。三位评分者的睡眠阶段标签之间的kappa 系数分别为 0.80、0.76 和 0.79。两种设备的减速指数、多尺度熵和百分位数特征的一致性分别达到 0.958、0.885 和 0.834。两种设备的宏观睡眠结构特征无显著差异（均 p [Formula: see text] 0.05）。
所提出的芯片已应用于开发具有显著减小尺寸、功率和成本的家庭睡眠监测系统。多层次分析表明，该系统可采集稳定准确的家庭睡眠数据。
该系统可应用于实验室环境外的长期家庭睡眠监测和睡眠障碍筛查，成本低。
