Author : Shikha Mishra

Currently, several solutions are available for monitoring patient health using body sensors. In hospitals, healthcare wireless sensor networks (HWSNs) offer support to access these sensors to allow for continuous patient monitoring. Healthcare wireless sensor networks (HWSNs) are a specific field of wireless sensor networks when applied to healthcare solutions. In HWSNs it is important to have continuous access to the patients’ sensors. This feature allows for close control over the patients’ health. Then, if an abnormal behavior occurs in the monitored human parameters, the system can detect it and alert the medical staff immediately. In healthcare wireless sensor network, the sensors are attached to the patient for periodically monitoring of patient. In healthcare scenarios it is important that technology may be focused on the patients’ quality-of-life. The use of HWSNs improves patients health monitoring. These technologies can be used for patient monitoring in both a real-time and continuous manner. The health monitoring is simplified by using MATLAB software. Patient uses MATLAB software to diagnosis the disease and giving the precaution to the patient instantly without any effort or any other torcher to the patient. This is very important to the patient like, who cannot walk or stand for long time and mostly for the critical condition patient who can’t wait for a second. A smart healthcare service system based on the Internet-of-Things (IoT) has great usefulness for patients and business potential; however, a comprehensive platform is still missing. In this research, an intelligent, IoT based healthcare system, is proposed and analysed by MATLAB program. In particular, the platform involves intelligent observer of the patient with communication capability enabled by passive radio-frequency identification (RFID) and actuation capability enabled by functional materials, and flexible and wearable bio-medical sensor device (Bio-Patch) enabled by the state-of-the-art inkjet printing technology and system-on-chip. The proposed platform seamlessly fuses IoT devices (e.g., wearable sensors, intelligent medicine packages, etc.) with in a bed of the patient or home healthcare services for improved user experience and service efficiency. The feasibility of the implemented iHome Health-IoT platform has been proven in field trials.

Keywords: IoT, Wireless sensor network, RFID, frequency generator

Article published in International Journal of Current Engineering and Technology, Vol.7, No.2 (April-2017)