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Li-Fi Based Automated Patient Healthcare Monitoring System


Affiliations
1 PG Scholar, Dept. of ECE, IFET College of Engineering,, India
2 2Assistant Professor, Dept. of CSE, IFET College of Engineering, India
     

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Context: Now a days, patient healthcare monitoring systems have realized lots of consideration. This monitoring system repeatedly peer the patient health for the earlier recognition of any physical fall in health. In previous days, Wi-Fi technology was used to transmit the data regarding patient health which cause some health disorders due to its harmful radio waves. To overcome this hazardous problem, Li-Fi (Light Fidelity) is proposed which has no harmful radiation effect with fast and secure communication than Wi-Fi. For more secure, bastion algorithm is used to make the data more immune to attacks by the encryption of data using block cipher encryption and proficient linear post processing to the ciphertext. In the proposed work, the data’s are obtained using Arduino and then the statistical data’s are manipulated using deep learning algorithms for sending the emergency alert to the doctor.

Keywords

Patient Monitoring, Li-Fi, Bastion Algorithm, Secure Li-Fi, Healthcare VLC.
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  • Li-Fi Based Automated Patient Healthcare Monitoring System

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Authors

B. Srimathi
PG Scholar, Dept. of ECE, IFET College of Engineering,, India
T. Ananthkumar
2Assistant Professor, Dept. of CSE, IFET College of Engineering, India

Abstract


Context: Now a days, patient healthcare monitoring systems have realized lots of consideration. This monitoring system repeatedly peer the patient health for the earlier recognition of any physical fall in health. In previous days, Wi-Fi technology was used to transmit the data regarding patient health which cause some health disorders due to its harmful radio waves. To overcome this hazardous problem, Li-Fi (Light Fidelity) is proposed which has no harmful radiation effect with fast and secure communication than Wi-Fi. For more secure, bastion algorithm is used to make the data more immune to attacks by the encryption of data using block cipher encryption and proficient linear post processing to the ciphertext. In the proposed work, the data’s are obtained using Arduino and then the statistical data’s are manipulated using deep learning algorithms for sending the emergency alert to the doctor.

Keywords


Patient Monitoring, Li-Fi, Bastion Algorithm, Secure Li-Fi, Healthcare VLC.



DOI: https://doi.org/10.37506/v11%2Fi2%2F2020%2Fijphrd%2F194832