Annus Paul, Samieipour Ali, Rist Marek, Ruiso Indrek, Krivoshei Andrei, Land Raul, Parve Toomas, Min Mart
Th. J. Seebeck Dept. of Electronics, Tallinn University of Technology, 19086 Estonia.
Stud Health Technol Inform. 2013;189:107-12.
The paper proposes a wearable multimodal data acquisition system for biological signals. The system enables logging of electrical bioimpedance signals from multiple electrodes, electrocardiographic signals (ECG), acceleration signals from multiple locations, and spirometric data from a moving object. Later it will be used to conduct field measurements for characterizing health of the object under investigation. Main goal is to acquire enough data for development, refinement, and simplification of signal processing algorithms. The system is center part of the new wearable compact data acquisition modules ZCardio. Those modules enable multichannel impedance spectroscopy by logging ECG signals and data from the spirometric sensor. Initial reference measurements were conducted. Alternatively, tests were performed using Plessey Semiconductors capacitive sensors. Acceleration signals are gathered.
本文提出了一种用于生物信号的可穿戴多模态数据采集系统。该系统能够记录来自多个电极的生物电阻抗电信号、心电图信号（ECG）、来自多个位置的加速度信号以及来自移动物体的肺活量数据。之后，它将用于进行现场测量，以表征被研究对象的健康状况。主要目标是获取足够的数据，用于信号处理算法的开发、优化和简化。该系统是新型可穿戴紧凑型数据采集模块ZCardio的核心部分。这些模块通过记录ECG信号和肺活量传感器的数据来实现多通道阻抗谱分析。进行了初始参考测量。此外，还使用了普莱西半导体电容式传感器进行测试。采集了加速度信号。
