Abstract
This paper presents a Laboratory Virtual Instrument Engineering Workbench (LabVIEW) and Internet of Things (IoT)-based eHealth monitoring system called LI-Care to facilitate the diagnosis of the health condition cost-effectively. The system measures the heart rate, body temperature, blood pressure, oxygen level, and breathing rate, and provides an electrocardiogram (ECG). The required sensors are integrated on a web-based application that keeps track of the essential parameters and gives an alarm indication if one or more physiological parameters go beyond the safe level. It also employs a webcam to obtain the patient view at any time. LabVIEW enables the effortless interfacing of various biomedical sensors with the computer and provides high-speed data acquisition and interactive visualizations. It also provides a web publishing tool to access the interactive window remotely through a web browser. The web-based application is accessible to doctors who are experts in that particular field. They can obtain the real-time reading and directly perform a diagnosis. The parameters measured by the proposed system were validated using the traditional measurement systems, and the Root Mean Square (RMS) errors were obtained for the various parameters. The maximum RMS error as a percentage was 0.159%, which was found in the temperature measurement, and its power consumption is 1 Watt/h. The other RMS errors were 0.05% in measurement of systolic pressure, 0.029% in measurement of diastolic pressure, 0.059% in measurement of breathing rate, 0.002% in measurement of heart rate, 0.076% in measurement of oxygen level, and 0.015% in measurement of ECG. The low RMS errors and ease of deployment make it an attractive alternative for traditional monitoring systems. The proposed system has potential applications in hospitals, nursing homes, remote monitoring of the elderly, non-contact monitoring, etc.
Highlights
Electronic health monitoring systems are receiving increasing interest from the research community, due to the COVID-19 pandemic
LI-Care, a monitoring system based on the rich graphical user interface (GUI) features provided by Laboratory Virtual Instrument Engineering Workbench (LabVIEW) and the integration of Internet of Things (IoT) sensors, is discussed
The acquired data are communicated to the wireless server and viewed using the designed LabVIEW graphical interface, which provides the facilities of a real monitoring tool
Summary
Electronic health (eHealth) monitoring systems are receiving increasing interest from the research community, due to the COVID-19 pandemic. This paper presents a real-time patient monitoring system (referred to as the LI-care system) that combines IoT and LabVIEW for practical online health monitoring. It employs a real-time high-speed data acquisition module (5 × 105 samples per second) and necessary sensors to obtain the physiological. The LabVIEW tool efficiently accesses these parameters generated by the IoT devices and provides an interactive visual interpretation that assists the doctors to Electronics 2021, 10, x FOR PEER REVIEWand quickly comprehend the findings, thereby reducing the response time and im3porfo1v6ing the quality of treatment. FigureF5ig. uSernes5o.rsS:e(na)sowresb: c(aam) waenbdctahme 1a6n×d2thLeC1D6 a×rra2nLgCemDeanrt;ra(bn)gbelmooedntp;r(ebss)ubrleoosednsporre;s(scu) rEeCsGenesleocrt;ro(cd)eEs;C(dG) PPG and oxeilmecettreordseens;so(dr;)(eP)PtGheramndistooxritmemetpeerrasteunrseosre;n(seo)rtphreorbme.istor temperature sensor probe
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