Novel Design for Li-Fi Healthcare Monitoring System

Abstract

Patients who are in healthcare places need for continuous healthcare monitoring system for long periods to surveillance human body vital signs. This system should be secure, reliable, and guarantee not to interfere with available radio frequencies or sensitive electronic devises such MRI (magnetic resonance imaging) since it deals with human life. In this paper, we designed, implement and evaluate a prototype model for Li-Fi healthcare monitoring system over different propagation links as an integrated optical system. The key idea of the created system is to remove the optical background noise power and to ensure patient's mobility at distance up to 4 m and 2.5 m in Los (line of sight) and diffuser links respectively. The system is created to receive data from a fibre Bragg gratings sensor (FBG) that will be sent to the end receiver through different propagation links having 100 % accuracy. Also, it is particularized with low power consumption, low-cost components, and could be adapted to different other systems of sending or processing operation. The proposed system provides, much more accurate received data compared to previous related literature.

The Applications, Challenges and Future of LiFi

“…Suitability of li-Fi in hospital environment is due to its non-interference with RF based medical equipment such as MRI [30] [31]. In [30], researchers presented practical vitals monitoring system based on life that offers accepting only the required signals, filtering noise, and 100% accuracy of received signals along with the patient mobility. The proposed prototype uses a Fiber Bragg Grating (FBG) sensor carried by a patient and Li-Fi receiver may be installed in ceiling of room for wireless transfer of vital signs of patient to cloud [32] [33], central monitoring unit or anywhere hospital administration deems suitable.…”

Implementation and evaluation of a comprehensive Li-Fi system using Matlab/Simulink

“…The ambient light effects on the Li-Fi communication link and the performance of the receiver under ambient noise power due to different sources is evaluated through simulations. In [13], a prototype model for a Li-Fi health monitoring system is created to transmit data from a patient-held FBG sensor to an optical receiver installed in the patient's ceiling room via different propagation links. In [14], a model of a Li-Fi system for transmitting audio signals is considered and designed with a minimum number of electrical elements.…”