Multi-parameter vital sign telemedicine system using web socket for covid-19 pandemics

Simple item page
dc.contributor.authorPintavirooj, Chuchart
dc.contributor.authorKeatsamarn, Tanapon
dc.contributor.authorTreebupachatsakul, Treesukon
dc.date.accessioned2026-08-06T10:32:02Z
dc.date.available2026-08-06T10:32:02Z
dc.date.issued2021-03-01
dc.description.abstractTelemedicine has become an increasingly important part of the modern healthcare infras-tructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.
dc.identifier.citationHealthcare Switzerland, 9(3), 2021
dc.identifier.doi10.3390/healthcare9030285
dc.identifier.issn22279032
dc.identifier.other2-s2.0-85104450722
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/11881
dc.sourceHealthcare Switzerland
dc.subjectCloud platform
dc.subjectECG
dc.subjectNIBP
dc.subjectPatient monitor
dc.subjectPlethysmogram
dc.subjectVital sign
dc.titleMulti-parameter vital sign telemedicine system using web socket for covid-19 pandemics
dc.typeArticle

Files

Collections

Research