Lin Chin-Teng, Wang Chen-Yu, Huang Kuan-Chih, Horng Shi-Jinn, Liao Lun-De
Institute of Electrical Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Brain Research Center, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Emerg Med Int. 2021 Jun 10;2021:9954669. doi: 10.1155/2021/9954669. eCollection 2021.
For emergency or intensive-care units (ICUs), patients with unclear consciousness or unstable hemodynamics often require aggressive monitoring by multiple monitors. Complicated pipelines or lines increase the burden on patients and inconvenience for medical personnel. Currently, many commercial devices provide related functionalities. However, most devices measure only one biological signal, which can increase the budget for users and cause difficulty in remote integration. In this study, we develop a wearable device that integrates electrocardiography (ECG), electroencephalography (EEG), and blood oxygen machines for medical applications with the hope that it can be applied in the future. We develop an integrated multiple-biosignal recording system based on a modular design. The developed system monitors and records EEG, ECG, and peripheral oxygen saturation (SpO) signals for health purposes simultaneously in a single setting. We use a logic level converter to connect the developed EEG module (BR8), ECG module, and SpO module to a microcontroller (Arduino). The modular data are then smoothly encoded and decoded through consistent overhead byte stuffing (COBS). This developed system has passed simulation tests and exhibited proper functioning of all modules and subsystems. In the future, the functionalities of the proposed system can be expanded with additional modules to support various emergency or ICU applications.
对于急诊室或重症监护病房(ICU),意识不清或血流动力学不稳定的患者通常需要通过多个监测器进行积极监测。复杂的管道或线路增加了患者的负担以及医护人员的不便。目前,许多商业设备提供相关功能。然而,大多数设备仅测量一种生物信号,这会增加用户的预算并导致远程集成困难。在本研究中,我们开发了一种可穿戴设备,其集成了用于医疗应用的心电图(ECG)、脑电图(EEG)和血氧仪,希望其能在未来得到应用。我们基于模块化设计开发了一种集成多生物信号记录系统。所开发的系统在单一设置下同时监测和记录用于健康目的的EEG、ECG和外周血氧饱和度(SpO)信号。我们使用逻辑电平转换器将所开发的EEG模块(BR8)、ECG模块和SpO模块连接到微控制器(Arduino)。然后,模块化数据通过一致的开销字节填充(COBS)进行平滑编码和解码。所开发的系统已通过模拟测试,并且所有模块和子系统均运行正常。未来,所提出系统的功能可通过附加模块进行扩展,以支持各种急诊或ICU应用。