Ehrmann Guido, Blachowicz Tomasz, Homburg Sarah Vanessa, Ehrmann Andrea
Virtual Institute of Applied Research on Advanced Materials (VIARAM).
Institute of Physics-Center for Science and Education, Silesian University of Technology, 44-100 Gliwice, Poland.
Bioengineering (Basel). 2022 Feb 21;9(2):84. doi: 10.3390/bioengineering9020084.
To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.
使用集成在纺织品中甚至基于纺织品的电极以及小型化电子设备持续测量生物信号，对于在监测过程中为患者或运动员提供最大舒适度而言是理想之选。在过去，这通常是通过将专门的电子设备集成到服装中来解决的，这些服装要么连接到手持计算机，要么包括无线数据传输选项，而如今，越来越小的单电路板可供使用，例如各种形状和尺寸的单板计算机（如树莓派）或微控制器（如 Arduino）。本综述概述了近期科学文献中的研究，这些研究报告了通过单电路板对生物信号（如心电图、肌电图、汗液及其他与健康相关的参数）的测量，展示了 Arduino、树莓派等在移动长期采集生物信号方面提供的新可能性。该综述专注于电子设备，而非纺织电极，关于纺织电极已有多篇综述论文。
