Key result
The FPGA-based R-peak detection algorithm achieved an error percentage of approximately ±0.3% for maternal and ±0.5% for fetal heart rate measurements compared to the software implementation.
An FPGA-based hardware implementation of an R-peak detection algorithm can accurately and efficiently extract maternal and fetal heart rates from abdominal ECG signals.
FPGA-based R-peak detection maintains low error versus software; leaves open clinical validation before real-time maternal-fetal monitoring adoption.
Fetal heart rate (FHR) monitoring is a routine for obtaining significant information about the fetal condition duringpregnancy and labour. Fetal condition may change abruptly during the pregnancy period. Therefore, a continuousfetal electrocardiogram (FECG) monitoring will ease the fetal well-being. An algorithm has been developed to detectR-peak for the simultaneous measurement of the fetal and maternal hearts rates during pregnancy and labor for fetalmonitoring. The algorithm is based on a cross-correlation, adaptive threshold and statistical properties in the timedomain. The performance achieved for the R-peak detection for the heart rate measurements shows that the modelcan extract R-peak for both, mother and fetus utilizing a single-lead configuration. The algorithm has beenimplemented in the field of propagation gate array (FPGA). The design was synthesized and fitted into Altera’s StratixEP1S10 using the Quartus II platform because of its enhanced DSP capability. Test case results showed an errorpercentage of around ±0.3% and ±0.5% for the R-peak detection of maternal and fetal mortality respectively. Thesystem is capable of running at a maximum clock frequency of 48.56MHz, and consumes 9633 logic elements,101616 memory space and 4 units of DSP blocks.
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Muhammad A. Hasan (2012) studied Pregnancy (fetal and maternal heart rate monitoring) (n=48). FPGA-based R-peak detection algorithm vs. Visual C++ software implementation was evaluated on Error percentage for R-peak detection. The FPGA-based R-peak detection algorithm achieved an error percentage of approximately ±0.3% for maternal and ±0.5% for fetal heart rate measurements compared to the software implementation.
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