Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.
STMicroelectronics, 20864 Agrate Brianza, Italy.
Sensors (Basel). 2022 Mar 27;22(7):2566. doi: 10.3390/s22072566.
In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-living conditions, with data recording on an SD or wireless transmission to an external elaborator. Thanks to the wide horizon of applications, research is very active in this field, and in the last few years, some devices have been introduced on the market. The main problem with those devices is that their operation is time-limited, so they do not match the growing demand for long monitoring, which is a must-have feature in diagnosing specific diseases. Furthermore, their versatility is hampered by the fact that they have been designed to record just one type of signal. Using ST-Qvar sensors, we acquired an electrocardiogram trace and single-channel scalp electroencephalogram from the frontal lobes, together with an electrooculogram. Excellent results from all three types of acquisition tests were obtained. The power consumption is very low, demonstrating that, thanks to the MEMS technology, a continuous acquisition is feasible for several days.
在这项工作中,我们提出了一种通过 MEMS 技术实现的电荷转移静电传感器采集多种生物电势的无线可穿戴系统。该系统设计用于低功耗和低侵入性,因此适合在自由生活条件下进行长时间监测,并将数据记录在 SD 卡上或通过无线传输到外部处理器。由于应用前景广阔,该领域的研究非常活跃,近年来已经有一些设备推向市场。这些设备的主要问题是它们的操作是有限的,因此不符合对长时间监测的日益增长的需求,这是诊断特定疾病的必备功能。此外,由于它们被设计用来记录一种信号,因此它们的通用性受到限制。我们使用 ST-Qvar 传感器从额叶采集了心电图轨迹和单通道头皮脑电图以及眼电图。三种采集测试都取得了非常好的结果。功耗非常低,证明了由于 MEMS 技术,连续采集几天是可行的。