Research Article
Remote medical video region tamper detection system based on Wireless Sensor Network
@ARTICLE{10.4108/eetpht.v8i31.702, author={Sujuan Li and Shichen Huang}, title={Remote medical video region tamper detection system based on Wireless Sensor Network}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={8}, number={31}, publisher={EAI}, journal_a={PHAT}, year={2022}, month={7}, keywords={Wireless sensor network, Telemedicine, Video area, Tampering detection system, Sensor nodes, Suspicious movement point}, doi={10.4108/eetpht.v8i31.702} }- Sujuan Li
Shichen Huang
Year: 2022
Remote medical video region tamper detection system based on Wireless Sensor Network
PHAT
EAI
DOI: 10.4108/eetpht.v8i31.702
Abstract
INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection.
Copyright © 2022 Shichen Huang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
