High Performance Visually Imperceptible on-Skin Sensors and Electronics Based on Nanomaterials

本研究计划的目标是建立一个新的平台，用于开发可靠的和高性能的无线连接的身体上的柔软和可伸缩的传感器系统网络。这种传感器系统可以是下一代智能连接的非侵入性以及可植入传感器，应用于物联网（IoT），HMI和医疗保健。 我们将专注于解决目前最先进的皮肤可穿戴技术的一些主要缺点，例如从具有挑战性的皮肤界面（如多毛皮肤）进行可靠的长时间连续感测。一种干燥柔软的传感器，可以牢固地粘附在头发之间，无需粘合剂和凝胶，因此，避免运动伪影，将被开发用于多通道记录脑电活动（脑电图，EEG）。这种传感器将隐藏在头发之间，因此为用户在日常活动中提供视觉感知，隐私和精神舒适。我们还将研究解决方案，以解决基于2D材料的电子领域中应变诱导性能退化的巨大挑战。我们将应用该解决方案开发一种由新兴2D材料制成的可伸缩放大器电路，用于与拟议的EEG传感器集成。这将能够立即现场放大EEG信号，从而提高信噪比。 几个高素质的人员（HQP）将接受这一前沿研究的培训，并将获得纳米电子学和生物电子学领域的先进知识和技能。

The goal of this research program is to establish a novel platform for the development of reliable and high performance network of wirelessly connected soft and stretchable sensorsystems on body. Such sensor-systems can be the next generation of smart connected noninvasive as well as implantable sensors with applications in internet of things (IoT), HMI and health care. We will focus on addressing some of the major drawbacks of the current state of art on-skin wearable technology such as reliable long-time and continuous sensing from challenging skin interfaces such as hairy skin. A dry and soft sensor that can firmly adhere between hairs without adhesive and gels and therefore, avoid motion artifacts will be developed for multichannel recording of brain electrical activities (electroencephalography, EEG). Such sensors will be hidden between hairs, hence offer visual imperceptibility, privacy and mental comfort to users for sensing during daily activities. We will also investigate the solutions to address a grand challenge of strain-induced-performance-degradation in 2D materials based electronics field. We will apply this solution to develop an ultrathin and stretchable amplifier circuit made of emerging 2D materials for integration with the proposed EEG sensor. This will enable immediate onsite amplification of EEG signals, resulting in improving signal to noise ratio. Several highly qualified personnel (HQP) will be trained on this cutting edge research and will obtain advanced knowledge and skills in the fields of nanoelectronics and bioelectronics.