HARDWARE APPROACH OF A NOVEL ALGORITHM OF R-PEAK DETECTION FOR THE SIMULTANEOUS MEASUREMENT OF FETAL AND MATERNAL HEART RATES DURING PREGNANCY

被引：0

作者：

Hasan, Muhammad Asraful ^{[1
]}

Mamun, Md ^{[2
]}

Marufuzzaman, Mohd ^{[2
]}

机构：

[1] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia

[2] Univ Kebangsaan Malaysia, Smart Engn Syst Res Grp, Ukm Bangi 43600, Selangor, Malaysia

来源：

REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE | 2012年 / 57卷 / 04期

关键词：

Field-programmable gate arrays (FPGA); Electrocardiogram; Very high speed integrated circuit hardware description language (VHDL); Digital signal processing (DSP); Fetal heart rate; QUANTIFICATION; SIGNAL;

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：

Fetal condition may change abruptly during the pregnancy period. Therefore, continuous fetal electrocardiogram (FECG) monitoring will ease the fetal well-being. An algorithm has been developed to detect R-peak for the simultaneous measurement of the fetal and maternal heart rates during pregnancy. The algorithm is based on cross-correlation, adaptive threshold and statistical properties in the time domain. The performance achieved for the R-peak detection for the heart rate measurements shows that the model can extract R-peak for both maternal and fetal utilizing a single-lead configuration. The algorithm has been implemented into Altera's Stratix EP1S10. Test case results showed an error percentage of around +/- 0.3% and +/- 0.5% for the R-peak detection of maternal and fetal respectively. The system is capable to run at a maximum clock frequency of 48.56 MHz, and consumed 9 633 logic elements.

引用

页码：432 / 443

页数：12

共 8 条

[1] Hardware Approach of R-Peak Detection for the Measurement of Fetal and Maternal Heart Rates
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JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY, 2012, 10 : 835 - 844
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[6] Fetal Electrocardiogram Extraction and R-Peak Detection for Fetal Heart Rate Monitoring using Artificial Neural Network and Correlation
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[7] Hierarchical Probabilistic Framework for Fetal R-Peak Detection, Using ECG Waveform and Heart Rate Information
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[8] DESIGN OF A MICROCONTROLLER-BASED REAL-TIME HEART RATE VARIABILITY MEASUREMENT SYSTEM USING A LOW-COMPLEXITY R-PEAK DETECTION ALGORITHM
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