Identification of electrocardiogram signals using internet of things based on combinatory classification

被引：1
作者：
Masouleh M.F. [1 ]
Kazemi M.A.A. [2 ]
Alborzi M. [1 ]
Eshlaghy A.T. [1 ]
机构：
[1] Information Technology Management Department, Science and Research Branch, Islamic Azad University, Tehran
[2] Information Technology Management Department, Central Branch, Islamic Azad University, Tehran
来源：
International Journal of Modeling, Simulation, and Scientific Computing | 2017年 / 8卷 / 03期
关键词：
Body wireless sensing system; classification; electronic health system; feature extraction; internet of things;
D O I：
10.1142/S1793962317500350
中图分类号：
学科分类号：
摘要：
Combination of computer sciences and electronics has resulted in one of the most remarkable technologies of the recent years called internet of things, considered as a challenge in electronic health systems for taking care of patients. Internet of things presents a promising paradigm for management of digital identification in the form of service customization. The effect of internet of things on healthcare is still in its preliminary stages and requires a substantial development. Various equipment and services are developed and utilized for health systems by providing different things to establish communication and information provision to users at any conditions or places. In this paper, attempts have been made to detect electrocardiogram (ECG) signal through a wireless simple sensing network of body using internet of things operating based on classification and feature extraction. © 2017 World Scientific Publishing Company.
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