A Study on Smart ICU

  • Pooja S. Sonar Student, Department of Computer Engineering, LGNSCOE, Nashik, Maharashtra, India.

Abstract

Intensive care Unit or ICU is where the patients who are critically ill are admitted for treatment. For such critical conditions the Doctors need to have an all- time update patient’s health related parameters like their blood pressure, heart pulse and temperature, feet detection, oxygen level. To do manually, this is too tedious a task and also for multiple patients it becomes close to impossible. Intended for this type of conditions this IOT based system can convey about an automation that can preserve the doctors reorganized all time over internet. IOT based ICU patient Monitoring System is IOT based system which collect patient’s information to the internet. There is admin can add ICU supervisor and doctor. The ICU supervisor can add patient and assign kit and specific doctor for patient and stay update of that patient. The ICU supervisor can only view the current sensor value of patient who admitted in ICU. The Doctor can view patient with their profile and all medical history. Sensor can sense and get statistics graph according to age group and disease wise which is show by doctor.  According to statistics graph the doctor can predict the health of patient based on sensor value and history. Doctor can view the current value of sensor valve and doctor can also get auto MSG on patient health seriousness (threshold). Thus, the doctor can get access from anywhere over the world. In this way IOT Based ICU Patient Monitoring System is improved system that supports in monitoring ICU Patients deprived of any physical intervention.


How to cite this article:


Sonar PS, Badhe HB, Agrawal a AA et al. A Study on Smart ICU. J Adv Res Embed Sys 2020; 7(2):14-18

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Published
2020-07-29
How to Cite
SONAR, Pooja S.. A Study on Smart ICU. Journal of Advanced Research in Embedded System, [S.l.], v. 7, n. 2, p. 14-18, july 2020. ISSN 2395-3802. Available at: <http://thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/214>. Date accessed: 30 dec. 2024.