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Fatigue Detection System Using Enhanced So and Chan Method

机译:使用增强型So and Chan方法的疲劳检测系统

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The key objective of the ECG monitoring system is QRS complex detection. An Enhanced So and Chan Method is proposed in this paper to improve the So and Chan method. It can effectively reduce the fail detection rate. Compared to the original So and Chan method, the accuracy increases from 94.61% to 99.16%. A FPGA board is used to verify our algorithm. Then we take the RRI data into PC for power spectral density analysis to get LF / HF. The results can be used to determine the driver's state.
机译:ECG监测系统的关键目标是QRS复杂检测。本文提出了增强的所以和陈方法,以改善所以和陈方法。它可以有效降低故障检测率。与原来的SO和CHAN方法相比,精度从94.61 \%增加到99.16 \%。 FPGA板用于验证我们的算法。然后我们将RRI数据带入PC以获得功率谱密度分析以获得LF / HF。结果可用于确定驾驶员状态。

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