Acta Optica Sinica, Volume. 40, Issue 22, 2230002(2020)
fNIRS Signal Motion Correction Algorithm Based on Mathematical Morphology and Median Filter
Fig. 5. 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
Fig. 6. Evaluation indices calculated after correcting motion artifacts of simulated block-average HbO signal with different algorithms. (a) EMS; (b) RSN; (c) R2; (d) Ep
Fig. 7. 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
Fig. 8. Evaluation indices calculated after correcting motion artifacts of true block-average HbO signal with different algorithms. (a) EMS; (b) RSN; (c) R2; (d) Ep
|
|
Get Citation
Copy Citation Text
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
Category: Spectroscopy
Received: Jun. 5, 2020
Accepted: Jul. 31, 2020
Published Online: Oct. 25, 2020
The Author Email: Qiao Jirimutu (1315225734@qq.com)