title: Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective.
abstract: The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.
authors.affiliation: Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India.
authors.forename: Munish
authors.initials: M
authors.lastname: Bhatia
authors.affiliation: Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India. san1198@gmail.com.
authors.forename: Sandeep K
authors.initials: SK
authors.lastname: Sood
mesh_terms: D000067917:Cloud Computing; D006801:Humans; D007362:Intensive Care Units / Q000458:organization & administration*; D008991:Monitoring, Physiologic / Q000379:methods*; D058998:Remote Sensing Technology / Q000379:methods; D017216:Telemedicine / Q000458:organization & administration*; D013997:Time Factors
keywords: ICU; Internet of things (IoT); M-Health; Remote patient monitoring; Temporal associative granulation (TAG)