NDLI: An FPGA-Assisted Cloud Framework for Massive ECG Signal Processing

Content Provider	IEEE Xplore Digital Library
Author	Shengyan Zhou Yongxin Zhu Chaojun Wang Xiaoqi Gu Jun Yin Jiang Jiang Guoguang Rong
Copyright Year	2014
Description	Author affiliation: Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai, China (Shengyan Zhou; Yongxin Zhu; Chaojun Wang; Xiaoqi Gu; Jun Yin; Jiang Jiang; Guoguang Rong)
Abstract	Current aging society has seen huge increases in portable devices sending massive volume of signals to medical servers. To address inefficient and unscalable signal processing on generic servers and clients, in this paper, we present an FPGA(field programmable gate array)-assisted cloud system providing an efficient framework for electrocardiogram (ECG) telemedicine including real-time data acquisition, transmission and analyzing over the Internet. We explore the requirements of massive cloud signal processing supporting a large number of connections or channels from cloud clients. A prototype system was composed of a client-server platform and an FPGA hardware system with PCI-E endpoint and ECG R-peak detection modules. A streaming micro-architecture for hardware system is proposed to detect ECG pattern from scalable number of channels. Evaluation results show that our streaming system design has good performance in terms of real-time, scalability and latency.
Sponsorship	IEEE Comput. Soc.
Starting Page	208
Ending Page	213
File Size	513440
Page Count	6
File Format	PDF
e-ISBN	9781479950799
DOI	10.1109/DASC.2014.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Cloud computing FPGA Cloud Electrocardiography ECG Hardware Servers Field programmable gate arrays R-peak detection
Content Type	Text
Resource Type	Article

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