Implementation of heart rate variability analysis algorithm on FPGA platform
Recently, many studies have attempted to develop portable cardiac monitoring systems that can be used outside of a hospital setting. To achieve this objective, in this paper, a field-programmable gate array (FPGA) design and the implementation of an embedded electrocardiography (ECG) system using Sy...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Research India Publications
2016
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/71322/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989171890&partnerID=40&md5=681c9c55e9949b8ef55a27f52c7fbd61 |
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| 要約: | Recently, many studies have attempted to develop portable cardiac monitoring systems that can be used outside of a hospital setting. To achieve this objective, in this paper, a field-programmable gate array (FPGA) design and the implementation of an embedded electrocardiography (ECG) system using System-on-Chip (ECG-SoC) technology are proposed. The proposed system performs ECG pre-processing and heart rate variability (HRV) feature extraction that are suitable for remote homecare monitoring and rural health care applications. The development of ECG-SoC consists of four phases: the development of the hardware system, the Nios II-Linux embedded operating system (OS), the ECG-SoC software, and followed by system integration. The results of this study show that the developed ECG-SoC system is capable of compiling a raw ECG dataset, detecting QRS, computing R-R intervals, and displaying the FFT output and power spectrum analysis. The proposed system has the potential to be used in the future as a portable stand alone medical device for heart disease detection and monitoring. |
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