Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications
Overview
Affiliations
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.
Wu J, Lin Y, Lee S, Chen C, Cheng S, Cheng C Glob Chall. 2024; 8(12):2400124.
PMID: 39679287 PMC: 11637777. DOI: 10.1002/gch2.202400124.
Next-Generation swimming pool drowning prevention strategy integrating AI and IoT technologies.
Kao W, Fan Y, Hsu F, Shen C, Liao L Heliyon. 2024; 10(18):e35484.
PMID: 39309814 PMC: 11416264. DOI: 10.1016/j.heliyon.2024.e35484.
An Embedded Electromyogram Signal Acquisition Device.
Lu C, Xu X, Liu Y, Li D, Wang Y, Xian W Sensors (Basel). 2024; 24(13).
PMID: 39000885 PMC: 11244330. DOI: 10.3390/s24134106.
Ku C, Wang Y, Chang C, Wu M, Dai S, Liao L Heliyon. 2022; 8(11):e11698.
PMID: 36458306 PMC: 9706696. DOI: 10.1016/j.heliyon.2022.e11698.
EpiBOX: An Automated Platform for Long-Term Biosignal Collection.
Carmo A, Abreu M, Fred A, da Silva H Front Neuroinform. 2022; 16:837278.
PMID: 35676972 PMC: 9168798. DOI: 10.3389/fninf.2022.837278.