Edge Computing and Dynamic Vision Sensing for Low Delay Access to Visual Medical Information

2017/11/10 by Ziyang Chen, Chen, Ziyang, Tamanna Shikh-Bahaei +3
Computer Science · Social Sciences · #Advanced Computing and Algorithms #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #IoT and Edge/Fog Computing #Parallel #Visual Attention and Saliency Detection #and Cluster Computing (cs.DC) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1711.10556

openalex publication_date 2017/11/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing (DVS) technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

Citations

• A 128×128 120 dB 15 μs Latency Asynchronous Temporal Contrast Vision Sensor

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