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1.
International Journal of Biomedical Engineering ; (6): 108-112, 2017.
Article in Chinese | WPRIM | ID: wpr-618425

ABSTRACT

Objective To develop a high-definition video display system for medical endoscope based on system on chip (SoC),and meet the requirement of high-resolution and real-time video display.Method A CMOS camera was used for video data capture.A SoC chip,integrated with a dual-core ARM Crotex-A9 processor and a field programmable gate array (FPGA),was employed as the kernel of the system.The HPS part of the SoC was used to build an embedded system to realize human-computer interaction,and the FPGA part was used to store and cache video data.The HPS and FPGA part were connected through a high-performance ARM AMBA AXI bus bridge broadband system,so as to achieve encoding of the cached video data and real-time display on screen.Results A high-definition video display system was built based on SoC.This system can achieve capture,processing and realtime display of high-definition video,as well as video freeze function.Conclusions The experimental results indicate that this system is feasible and effective,and possesses the advantages of customizability,multiple-exploitation and high performance of real-time video display.

2.
International Journal of Biomedical Engineering ; (6): 24-27,52, 2017.
Article in Chinese | WPRIM | ID: wpr-606654

ABSTRACT

Objective To study an image display method for portable medical endoscopes using intelligent mobile devices for solving the problem of lacking medical resources in remote areas and carrying inconvenience of endoscopic workstations.Method An high-definition camera was employed for image data acquisition,which was driven by the built-in Video4Linux drive program of a embedded Linux system.A wireless network card was used to establish a point-to-point network,and to build the LAN server.The mobile devices could acquire the collected image data through accessing the local area network,which could realize the real-time display on the LCD screen.Results The resolution of a collected image was 1 024×768 pixels,the bit depth was 24 bits,the frame rate was 30 frame/s,and the actual average transmission speed was about 2 MB/s.Conclusions The proposed method is effective and feasible.The collected image is clear,and the system has advantages of simple structure,low cost and easy to carry,which can save the manufacturing cost and meet the conditions of usage in remote areas.

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