SmartphoneBasedIoTHealthcareMonitoringSystemforVitalSignalAnalysisandRemotePatientCare
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