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Traditional sleep aid methods, such as pharmacological treatments and standard sleep aid music, offer some relief but come with inherent limitations, including potential side effects and variations due to individual differences. To address this more effectively, this study introduces a strategy model that integrates self-attention with time-domain features, aiming to produce more personalized sleep aid music. Utilizing deep learning techniques, the model can adjust the audio strategy in real-time based on the physiological responses of the participants, thereby generating sleep aid music tailored to individual needs. Through a series of experimental validations, we found that compared to traditional strategy models, our proposed model demonstrates significant advantages in promoting relaxation and sleep for participants, especially in the scores across various dimensions of the PSQI. This research offers new theoretical insights and practical considerations for the study and application of sleep aid music.<\/jats:p>","DOI":"10.1177\/14727978251317829","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T02:56:56Z","timestamp":1739156216000},"page":"312-323","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Personalized sleep aid audio strategy model based on self-attention and time-domain analysis"],"prefix":"10.1177","volume":"25","author":[{"given":"Yafeng","family":"Zhou","sequence":"first","affiliation":[{"name":"Nanjing Vocational College of Information Technology"}]},{"given":"Fan","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanjing Vocational College of Information Technology"}]},{"given":"Fangfang","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing Vocational College of Information Technology"}]}],"member":"179","published-online":{"date-parts":[[2025,2,9]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2008.06.014"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.aax5440"},{"issue":"5","key":"e_1_3_2_4_2","first-page":"574","article-title":"A randomized controlled trial of bedtime music for insomnia disorder","volume":"24","author":"Jespersen KV","year":"2015","unstructured":"Jespersen KV, Otto MS, Kringelbach ML, et al. 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