A study applying time series analysis to examine the positive effects of music therapy on sleep quality

Sleep disorders have become a more common problem in the current society, and music therapy, as a kind of auxiliary treatment without adverse reactions and able to improve the quality of sleep, is gradually recognized by experts. In this paper, through the somatosensory sound wave physiotherapy technology, the low-frequency signals in music are transformed into precise audible vibrations and transmitted to the human body through bone conduction and other effects to play a role in improving sleep. Using polysomnography, a series of indicators of the human sleep state can be detected. The Fast Fourier Transform is used to convert the EEG signal from the time domain to the frequency domain. The topological map structure of polysomnography is constructed using phase-locked values to analyze multiple signal sources. Staging of sleep is performed using the method of temporal information learning. After somatosensory sound wave physiotherapy, the subjects’ sleep quality improved, and each score of the total PSQI score was reduced after eight weeks of intervention compared with four weeks of intervention. Meanwhile, the subjects’ DBAS-16 total score improved from 57.89 to 64.95, and the difference was statistically significant (p<0.05).