» Articles » PMID: 34221510

Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications

Overview
Journal Emerg Med Int
Publisher Wiley
Specialty Emergency Medicine
Date 2021 Jul 5
PMID 34221510
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

IoT-Based Hand Hygiene Compliance Monitoring System and Validation of Its Effectiveness in Hospital Environments.

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.


Noninvasive blood oxygen, heartbeat rate, and blood pressure parameter monitoring by photoplethysmography signals.

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.


References
1.
Lin C, Liu C, Wang P, King J, Liao L . Design and Verification of a Dry Sensor-Based Multi-Channel Digital Active Circuit for Human Brain Electroencephalography Signal Acquisition Systems. Micromachines (Basel). 2019; 10(11). PMC: 6915493. DOI: 10.3390/mi10110720. View

2.
Rezayi S, Safaei A, Mohammadzadeh N . Requirement Specification and Modeling a Wearable Smart Blanket System for Monitoring Patients in Ambulance. J Med Signals Sens. 2019; 9(4):234-244. PMC: 6839437. DOI: 10.4103/jmss.JMSS_55_18. View

3.
Zhu H, Cheng C, Yin H, Li X, Zuo P, Ding J . Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study. Lancet Digit Health. 2020; 2(7):e348-e357. DOI: 10.1016/S2589-7500(20)30107-2. View

4.
Yu Y, Lu S, Liao L, Lin C . Design, Fabrication, and Experimental Validation of Novel Flexible Silicon-Based Dry Sensors for Electroencephalography Signal Measurements. IEEE J Transl Eng Health Med. 2016; 2:2700307. PMC: 4848051. DOI: 10.1109/JTEHM.2014.2367518. View

5.
Hasanin A, Karam N, Mukhtar A, Habib S . The ability of pulse oximetry-derived peripheral perfusion index to detect fluid responsiveness in patients with septic shock. J Anesth. 2021; 35(2):254-261. DOI: 10.1007/s00540-021-02908-w. View