Toward Automated Analysis of Electrocardiogram Big Data by Graphics Processing Unit for Mobile Health Application

	Toward Automated Analysis of Electrocardiogram Big Data by Graphics Processing Unit for Mobile Health Application
	Xiaomao Fan; Runge Chen; Chengguang He; Yunpeng Cai; Pu wang; Ye Li
刊名	IEEE Access
	2017
文献子类	期刊论文
英文摘要	With the rapid development of mobile health technologies and applications in recent years, large amounts of electrocardiogram (ECG) signals that need to be processed timely have been produced. Although the CPU-based sequential automated ECG analysis algorithm (CPU-AECG) designed for identifying seven types of heartbeats has been in use for years, it is single-threaded and handling lots of concurrent ECG signals still poses a severe challenge. In this paper, we propose a novel GPU-based automated ECG analysis algorithm (GPU-AECG) to effectively shorten the program executing time. A new concurrency-based GPU-AECG, named cGPU-AECG, is also developed to handle multiple concurrent signals. Compared with the CPU-AECG, our cGPU-AECG achieves a 35 times speedup when handling 24-h-long ECG data, without reducing the classification accuracy. With cGPU-AECG, we can handle 24-h-ECG signals from thousands of users in a few seconds and provide prompt feedback, which not only greatly improves the user experience of mobile health services, but also reduces the economic cost of building healthcare platforms.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12617]
专题	深圳先进技术研究院_数字所
作者单位	IEEE Access
推荐引用方式 GB/T 7714	Xiaomao Fan,Runge Chen,Chengguang He,et al. Toward Automated Analysis of Electrocardiogram Big Data by Graphics Processing Unit for Mobile Health Application[J]. IEEE Access,2017.
APA	Xiaomao Fan,Runge Chen,Chengguang He,Yunpeng Cai,Pu wang,&Ye Li.(2017).Toward Automated Analysis of Electrocardiogram Big Data by Graphics Processing Unit for Mobile Health Application.IEEE Access.
MLA	Xiaomao Fan,et al."Toward Automated Analysis of Electrocardiogram Big Data by Graphics Processing Unit for Mobile Health Application".IEEE Access (2017).