In response to the current limitations of neck pulse monitoring devices, such as being inconvenient to carry and having complex signal processing, a fiber Bragg grating (FBG) based neck pulse monitoring device was designed. The device monitored two volunteers in three states (resting, exercise, and vigorous exercise) while sitting and lying down for 10 s each. Fourier transform was applied to process the data, and the frequency error between the neck pulse device, the wristband, and the pulse oximeter was found to be less than 10%. Pearson correlation analysis was conducted on the periods of different states, with the correlation coefficient exceeding 0.9. Random forest was used for predictive analysis, and the results showed good prediction performance. The analysis indicates that the neck pulse monitoring device is capable of effectively monitoring the pulse in the neck region of the human body.