An Effective QRS Detection Algorithm for Wearable ECG in Body Area Network

@article{Zhang2007AnEQ,
  title={An Effective QRS Detection Algorithm for Wearable ECG in Body Area Network},
  author={Fei Zhang and Junzhong Tan and Yong Lian},
  journal={2007 IEEE Biomedical Circuits and Systems Conference},
  year={2007},
  pages={195-198}
}
A novel QRS detection algorithm for wearable ECG devices and its FPGA implementation are presented in this paper. The proposed algorithm utilizes the hybrid opening- closing mathematical morphology filtering to suppress the impulsive noise and remove the baseline drift and uses modulus accumulation to enhance the signal. The proposed algorithm achieves an average QRS detection rate of 99.53%, a sensitivity of 99.82% and a positive prediction of 99.71% against the MIT/BIH Arrhythmia Database. It… CONTINUE READING

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SHOWING 1-10 OF 17 REFERENCES

Detecting and tracking dim moving point target in IR image sequences

  • F. Zhang, C. Li., L. Shi
  • Infrared Phys. and Technol. , vol. 46, pp.323-328…
  • 2005
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