TY  - JOUR
TI  - Critical Care Monitoring with Event Priorization Using IoT
AU  - A. Rumana
AU  -  J. Padmavathi
AU  -  K. Saru Priya
AU  -  A. Nida Mahnaaz
AU  -  R. Suvarna
AU  -  S. Surya
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833436
VL  - 3
IS  - 3
SP  - 978	
EP  - 986
AB  - The Internet of Things (IoT) provides an efficient and new life to the healthcare field. It also has a rapid development of many fields. The impact of the IoT on the evolution towards next generation smart environments will largely depend on the efficient integration of IoT and cloud computing technologies. But the more important are real in the field of Medical. Existing related research works on sensor cloud have primarily focused on the ideology and the challenges that wireless sensor network (WSN)-based applications typically encounter. However, none of the works has addressed theoretical characterization and analysis, which can be used for building models for solving different problems to be encountered in using sensor cloud. One of the better ways, the doctors are capable to certainly and quickly right to use the relevant patient information’s and including the patient medical history. Through the Internet of Things, tremendously improves the quality of information and the patient care in the Medical field. So, Internet of Things offers an actual platform to interconnect the all the resources. However, the diversity of the objects in IoT causes the heterogeneity problem of the data format in IoT platform. Meanwhile, the use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult and challenging. The proposed system presents the architectural review of smart health care system using Internet of Things to provide Quality Health Care by validating the measure patient’s body parameters. Based on the evaluation model, decision model is applied and the system prioritizes the critical data by checking the critical level of sensed information and the report is generated & provided to the doctor, caregiver and relatives to the patient. Passive monitoring and active monitoring system are applied to validate the criticalness of the patient.