数码产品
柔性电子器件
制作
可伸缩电子设备
蓝牙
可靠性(半导体)
无线
导电体
可穿戴技术
材料科学
可穿戴计算机
计算机科学
电子工程
电气工程
嵌入式系统
纳米技术
工程类
功率(物理)
电信
量子力学
病理
替代医学
物理
医学
作者
Daoyan Zhao,Jun Zhao,Lili Liu,Wei Guo,Kanhao Zhu,Ganguang Yang,Zhuo Li,Hao Wu
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2021-10-02
卷期号:69 (4): 1340-1348
被引量:9
标识
DOI:10.1109/tbme.2021.3115464
摘要
On-skin electronics are promising in human motion and vital sign monitoring, disease diagnosis and treatment. On-skin systems are soft and stretchable, and can maintain electrical performances during bending, stretching or twisting, etc. However, current integrated circuit based fabrication processes are not compatible with stretchable substrate, and recently proposed flexible hybrid integration methods typically involve complicated fabrication processes or structural design, and do not support high integration density. Herein, we report a series of flexible hybrid integration strategies which endow the on-skin electronics with advantages of high integration density of electric components, facile fabrications, high stretchability and reliability. Proposed strategies include: 1. High I/O density with highly stretchable and conductive composite materials as interconnects; 2. Multi-layer structures enabled by stretchable and conductive via-holes; 3. High reliability approach for chip attachment onto stretchable substrate; 4. Design and fabrication of strain separation structure. Based on these methods, an on-skin flexible hybrid electronic system (FHES) is fabricated to collect electrocardiogram (ECG) and acceleration data, wirelessly transmit and display the data in real time on a mobile phone application through Bluetooth communication. We also verify the accuracy and stability of the FHES through the measurements of ECG and acceleration data from human skin under various conditions. The flexible hybrid integration schemes proposed can be adopted for the development of a variety of on-skin systems for biomedical applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI