I-CARES: advancing health diagnosis and medication through IoT

Internet of Things (IoT) is changing the way many sectors operate and special attention is paid to promoting healthy living by employing IoT based technologies. In this paper, a novel approach is developed with IoT prototype of Wireless Sensor Network and Cloud based system to provide continuous mon...

Full description

Saved in:
Bibliographic Details
Published in:Wireless networks 2020-05, Vol.26 (4), p.2375-2389
Main Authors: Latif, Ghazanfar, Shankar, Achyut, Alghazo, Jaafar M., Kalyanasundaram, V., Boopathi, C. S., Arfan Jaffar, M.
Format: Article
Language:English
Subjects:
Artificial intelligence
Communications Engineering
Computer Communication Networks
Diagnosis
Diagnostic systems
Electrical Engineering
Emergency medical services
Engineering
Internet of Things
IT in Business
Lifesaving
Networks
Physicians
Prototypes
Side effects
Telemedicine
Wireless networks
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Internet of Things (IoT) is changing the way many sectors operate and special attention is paid to promoting healthy living by employing IoT based technologies. In this paper, a novel approach is developed with IoT prototype of Wireless Sensor Network and Cloud based system to provide continuous monitoring of a patient’s health status, ensuring timely scheduled and unscheduled medicinal dosage based on real-time patient vitals measurement, life-saving emergency prediction and communication. The designed integrated prototype consists of a wearable expandable health monitoring system, Smart Medicine Dispensing System, Cloud-based Big Data analytical diagnostic and Artificial Intelligence (AI) based reporting tool. A working prototype was developed and tested on few persons to ensure that it is working according to expected standards. Based on the initial experiments, the system fulfilled intended objectives including continuous health monitoring, scheduled timely medication, unscheduled emergency medication, life-saving emergency reporting, life-saving emergency prediction and early stage diagnosis. In addition, based on the analysis reports, physicians can diagnose/decide, view medication side effects, medication errors and prescribe medication accordingly. The proposed system exhibited the ability to achieve objectives it was designed using IoT to alleviate the pressure on hospitals due to crowdedness in hospital care and to reduce the healthcare service delays.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-019-02165-6