In order to effectively reduce the motion artifacts generated by the pulse wave signal in the severe environment, the pulse signal collected by the photoelectric sensor composed of photonic devices in the mimic database was used, and the gyro signal and the three-axis acceleration complementary filtering were used to correct the three-axis acceleration. Singular spectrum analysis was used to group the corrected three-axis acceleration signals into signals with different frequency components, which were used as the reference signal of the three-stage fast transverse recursive least square (FTRLS) algorithm to adaptively eliminate motion artifacts. Compared and analyzed with the least mean square algorithm and recursive least square method, the signal-to-noise ratio increased by 12.2% and 6.7%, the root mean square error was reduced by 30% and 11%, respectively, and the calculation speed was increased. The experimental results show that this research is helpful to remove the pulse wave motion interference spectrum peak in the frequency domain and retain the information of the heavy wave.