SmartphoneBasedIoTHealthcareMonitoringSystemforVitalSignalAnalysisandRemotePatientCare

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Authors: Dr.R.Sofia, Mr.R.Sambathkumar
Cited by: 0

Abstract

Advancementsininformationandcommunicationtechnologieshavebroughtaboutaprofoundtransformation inthe realm of healthcare. The downsizing of signal acquisition devices hasfacilitatedgreaterportability,yetthisdevelopmenthasalsopresentedchallengesintermsofpowerconsumption.Tosurmountthis,asolutionthatislightweightandpowerefficientbecomesimperative.Onesuchsolutioninvolvesharnessingthecapabilitiesofsmartphonestocollectandanalyzevitalsignals.LeveragingInternetofThings(IoT)technologyenablestheremotemonitoringofdiversepatientparameters, accessible through a range of devices suchas computers and smartphones,facilitatedbycloudserviceslikeThingSpeak.Divergingfromconventionaltests,modernsensors,encompassingmetricslikeheartrate,temperature,andSPO2,providedailyreadingsthatempowerdoctorstoremotelyprescribetreatmentsandexercises,therebyelevatingthequalityoflifeforpatients.Thisinnovativesystemoffersinstantaneoussensing,preciseprognostications,andswiftresponses,culminatinginstreamlinedhealthcarepracticesthatalleviatetheburdenonmedicalpractitioners.Instances ofanomaliesprompt alerts to caregivers. The trajectory ofthisapproachportendsfurtherenhancements,encompassingadditionalmodulessuchasbloodpressuremonitoringanddentalscreening, to engender a comprehensive, real-time patient care continuum. This paradigmrepresents anotablestridetowardstheaugmentationof patientcaresystems.

Fields of Study & Subjects

Non-Invasive Vital Sign Monitoring Internet of Things and AI Wireless Sensor Networks for Data Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
22 January 2026