Li Ding, Cui Tianrui, Xu Zigan, Xu Shuoyan, Dong Zirui, Tao Luqi, Liu Houfang, Yang Yi, Ren Tian-Ling
School of Integrated Circuit, Tsinghua University, Beijing, China.
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China.
Research (Wash D C). 2024 Aug 9;7:0424. doi: 10.34133/research.0424. eCollection 2024.
Research on the flexible hybrid epidermal electronic system (FHEES) has attracted considerable attention due to its potential applications in human-machine interaction and healthcare. Through material and structural innovations, FHEES combines the advantages of traditional stiff electronic devices and flexible electronic technology, enabling it to be worn conformally on the skin while retaining complex system functionality. FHEESs use multimodal sensing to enhance the identification accuracy of the wearer's motion modes, intentions, or health status, thus realizing more comprehensive physiological signal acquisition. However, the heterogeneous integration of soft and stiff components makes balancing comfort and performance in designing and implementing multimodal FHEESs challenging. Herein, multimodal FHEESs are first introduced in 2 types based on their different system structure: all-in-one and assembled, reflecting totally different heterogeneous integration strategies. Characteristics and the key design issues (such as interconnect design, interface strategy, substrate selection, etc.) of the 2 multimodal FHEESs are emphasized. Besides, the applications and advantages of the 2 multimodal FHEESs in recent research have been presented, with a focus on the control and medical fields. Finally, the prospects and challenges of the multimodal FHEES are discussed.
柔性混合表皮电子系统(FHEES)的研究因其在人机交互和医疗保健领域的潜在应用而备受关注。通过材料和结构创新,FHEES结合了传统刚性电子器件和柔性电子技术的优点,使其能够贴合皮肤佩戴,同时保留复杂的系统功能。FHEES利用多模态传感来提高对佩戴者运动模式、意图或健康状况的识别准确性,从而实现更全面的生理信号采集。然而,软硬组件的异构集成使得在设计和实现多模态FHEES时平衡舒适性和性能具有挑战性。在此,基于不同的系统结构,多模态FHEES首先被分为一体化和组装式两种类型进行介绍,这反映了完全不同的异构集成策略。重点阐述了这两种多模态FHEES的特点和关键设计问题(如互连设计、接口策略、基板选择等)。此外,还介绍了这两种多模态FHEES在近期研究中的应用和优势,重点关注控制和医疗领域。最后,讨论了多模态FHEES的前景和挑战。