Acta Optica Sinica, Volume. 40, Issue 22, 2230002(2020)

fNIRS Signal Motion Correction Algorithm Based on Mathematical Morphology and Median Filter

Jie Zhao, Jirimutu Qiao*, Xuetong Ding, and Xiaomin Liang
Author Affiliations
  • College of Electronic Information Engineering, Hebei University, Baoding, Hebei 071002, China
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    Figures & Tables(10)
    fNIRS signal preprocessing flowchart using tMedMor algorithm
    Flow chart of Mor algorithm
    Unilateral power spectral density of noiseless OD signal
    Unilateral power spectral density of noiseless OD signal
    Waveform of simulation data after using tMedMor algorithm, the data in the figure was selected from OD signal with a wavelength of 830 nm in a certain channel. (a) OD signals contaminated by motion artifacts; (b) OD signal corrected by tMed algorithm; (c) OD signal corrected by Mor algorithm; (d) comparing OD signal corrected by tMedMor algorithm with OD signal without motion artifacts
    Evaluation indices calculated after correcting motion artifacts of simulated block-average HbO signal with different algorithms. (a) EMS; (b) RSN; (c) R2; (d) Ep
    Waveform of real data after using tMedMor algorithm, the data in the figure was selected from OD signal with a wavelength of 830 nm in a certain channel. (a) OD signals contaminated by motion artifacts; (b) OD signal corrected by tMed method; (c) OD signal corrected by Mor algorithm; (d) comparing OD signal corrected by tMedMor algorithm with OD signal without motion artifacts
    Evaluation indices calculated after correcting motion artifacts of true block-average HbO signal with different algorithms. (a) EMS; (b) RSN; (c) R2; (d) Ep
    • Table 1. EMS, RSN, R2 and Ep of simulated block-average HbO signal after processing by different algorithms

      View table

      Table 1. EMS, RSN, R2 and Ep of simulated block-average HbO signal after processing by different algorithms

      MethodEMS/10-15RSN/dBR2Ep
      Uncorrected3561.7±3182.1-24.57±3.810.53±0.4229136.8±43210.4
      MARA498.5±666.6-14.34±6.040.74±0.253933.7±4644.9
      TDDR38.4±24.4-5.44±2.450.75±0.24265.9±228.4
      Spline-SG125.3±110.1-9.67±4.970.68±0.271468.9±2258.0
      kWavelet1704.5±1414.4-19.97±6.400.49±0.2917613.0±27820.8
      tPCA3611.4±3844.7-24.24±3.890.57±0.3627700.4±31193.8
      Mor26.5±34.3-0.50±7.010.63±0.37227.9±381.3
      tMed3618.8±3917.1-23.95±4.220.40±0.3628697.4±50120.2
      tMedMor6.9±4.93.18±5.250.74±0.2660.5±78.0
    • Table 2. EMS, RSN, R2 and Ep of real block-average HbO signal after processing by different algorithms

      View table

      Table 2. EMS, RSN, R2 and Ep of real block-average HbO signal after processing by different algorithms

      MethodEMS /10-14RSN/dBR2Ep
      Uncorrected3006.9±2588.0-23.68±4.350.44±0.3220714.2±19455.8
      MARA76.4±72.5-6.01±7.190.77±0.20603.6±640.7
      TDDR11.9±13.51.60±5.740.88±0.1283.4±91.5
      Spline-SG23.6±30.4-1.37±5.310.86±0.10170.1±206.3
      kWavelet95.2±98.7-7.44±6.120.50±0.33566.7±622.3
      tPCA78.3±78.6-6.66±6.050.74±0.19613.8±777.0
      Mor1.7±1.58.21±3.430.83±0.178.2±14.9
      tMed2992.4±2580.1-23.67±4.320.44±0.3220270.2±19240.6
      tMedMor1.6±1.48.66±3.290.85±0.165.1±6.6
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    Jie Zhao, Jirimutu Qiao, Xuetong Ding, Xiaomin Liang. fNIRS Signal Motion Correction Algorithm Based on Mathematical Morphology and Median Filter[J]. Acta Optica Sinica, 2020, 40(22): 2230002

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    Paper Information

    Category: Spectroscopy

    Received: Jun. 5, 2020

    Accepted: Jul. 31, 2020

    Published Online: Oct. 25, 2020

    The Author Email: Qiao Jirimutu (1315225734@qq.com)

    DOI:10.3788/AOS202040.2230002

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