Implementation and evaluation of ECG signal processing algorithms on embedded architectures

被引：0

作者：

Mejhoudi, Safa ^{[1
]}

Latif, Rachid ^{[1
]}

Toumanari, Ahmed ^{[1
]}

Jenkal, Wissam ^{[1
]}

Elouardi, Abdelhafid ^{[2
]}

机构：

[1] Ibn Zohr Univ, Lab Syst Engn & Informat Technol LiSTi, Agadir, Morocco

[2] Paris Saclay Univ, Univ Paris Sud, Digiteo Labs, SATIE, Orsay, France

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT 2017) | 2017年

关键词：

ECG; FPGA; Real-time processing; embedded architectures; QRS COMPLEX DETECTION; NOISE REMOVAL; FILTER; FPGA;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a survey and evaluation of the implementation of ECG signal processing algorithms on embedded architectures. ECG signal analysis and extraction of various features as QRS complex are important tasks in either clinical or biomedical practice. To this end, our work aims at developing a system for real-time monitoring of cardiac data based on an embedded architecture, which guarantees an accurate analysis without loss of information and allowing the extraction of all the necessary characteristics for an effective and fast diagnosis of patient's cardiac status.

引用

页数：6

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