IEEE Trans Biomed Circuits Syst. 2015 Dec;9(6):758-66. doi: 10.1109/TBCAS.2015.2504959. Epub 2016 Jan 6.
A multimodal mental management system in the shape of the wearable headband and earplugs is proposed to monitor electroencephalography (EEG), hemoencephalography (HEG) and heart rate variability (HRV) for accurate mental health monitoring. It enables simultaneous transcranial electrical stimulation (tES) together with real-time monitoring. The total weight of the proposed system is less than 200 g. The multi-loop low-noise amplifier (MLLNA) achieves over 130 dB CMRR for EEG sensing and the capacitive correlated-double sampling transimpedance amplifier (CCTIA) has low-noise characteristics for HEG and HRV sensing. Measured three-physiology domains such as neural, vascular and autonomic domain signals are combined with canonical correlation analysis (CCA) and temporal kernel canonical correlation analysis (tkCCA) algorithm to find the neural-vascular-autonomic coupling. It supports highly accurate classification with the 19% maximum improvement with multimodal monitoring. For the multi-channel stimulation functionality, after-effects maximization monitoring and sympathetic nerve disorder monitoring, the stimulator is designed as reconfigurable. The 3.37 × 2.25 mm(2) chip has 2-channel EEG sensor front-end, 2-channel NIRS sensor front-end, NIRS current driver to drive dual-wavelength VCSEL and 6-b DAC current source for tES mode. It dissipates 24 mW with 2 mA stimulation current and 5 mA NIRS driver current.
提出了一种可穿戴式头带和耳塞形式的多模态心理管理系统,用于监测脑电图(EEG)、脑血流图(HEG)和心率变异性(HRV),以进行准确的心理健康监测。它能够实现经颅电刺激(tES)的同时实时监测。该系统总重量小于 200 克。多环路低噪声放大器(MLLNA)实现了超过 130 dB 的 EEG 感应共模抑制比(CMRR),而电容相关双采样跨阻放大器(CCTIA)具有用于 HEG 和 HRV 感应的低噪声特性。所测量的三个生理域,即神经、血管和自主域信号与典型相关分析(CCA)和时间核典型相关分析(tkCCA)算法相结合,以找到神经-血管-自主耦合。它支持高度精确的分类,使用多模态监测可提高 19%的最大精度。对于多通道刺激功能、后效最大化监测和交感神经紊乱监测,刺激器被设计为可重构的。该 3.37×2.25mm²芯片具有 2 通道 EEG 传感器前端、2 通道 NIRS 传感器前端、NIRS 电流驱动器以驱动双波长 VCSEL 和用于 tES 模式的 6-b DAC 电流源。它在 2 mA 刺激电流和 5 mA NIRS 驱动器电流下消耗 24 mW。