{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T18:43:25Z","timestamp":1769453005489,"version":"3.49.0"},"reference-count":20,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>As the global population ages, non-pharmacological interventions such as personalized music therapy show promise for wellbeing in older adults. We propose the Fusion-Attentive Temporal Network (FAT-Net). This dual-stream model processes minute level heart-rate and music on\/off data alongside daily summary features to predict a composite health score.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from 92 participants over 45 \u00b1 10 days were augmented fourfold using jittering, time-warping, magnitude scaling, and SMOTE. The temporal stream uses Conv1D, BiLSTM, and self-attention pooling. The summary stream uses a three-layer MLP. Cross-modal attention fuses both embeddings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Over ten runs, FAT-Net achieved RMSE = 0.35 \u00b1 0.005 (22.7% reduction vs. Random Forest), MAE = 0.28 \u00b1 0.005 (19.5% reduction), and\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.87 \u00b1 0.008 (17.3% improvement). Pearson's\n                      <jats:italic>r<\/jats:italic>\n                      between predictions and true values was 0.93.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>FAT-Net's attention-based fusion provides a robust, interpretable approach for forecasting daily wellbeing in older adults.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1633924","type":"journal-article","created":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T08:39:16Z","timestamp":1769416756000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Study on the path of combining music and digital health technology to promote the health of older adult groups"],"prefix":"10.3389","volume":"13","author":[{"given":"Chuang","family":"Ma","sequence":"first","affiliation":[{"name":"School of Music, Southwest University","place":["Chongqing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Hu","sequence":"additional","affiliation":[{"name":"Guang'anmen Hospital South Campus, China Academy of Chinese Medical Sciences","place":["Beijing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shixue","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, The First Affiliated Hospital of Chongqing Medical University","place":["Chongqing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomei","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Music, Southwest University","place":["Chongqing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,1,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1093\/pubmed\/fdaa123","article-title":"More music, more health! J Public Health","volume":"43","author":"Raglio","year":"2021"},{"key":"B2","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.archger.2018.02.012","article-title":"Impact of group-singing on older adult health in senior living communities: a pilot study","volume":"76","author":"Fu","year":"2018","journal-title":"Arch Gerontol Geriatr"},{"key":"B3","doi-asserted-by":"publisher","first-page":"426","DOI":"10.7326\/0003-4819-154-6-201103150-00009","article-title":"Music lessons: what musicians can teach doctors (and other health professionals)","volume":"154","author":"Davidoff","year":"2011","journal-title":"Ann Intern Med"},{"key":"B4","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1002\/anzf.1268","article-title":"Rhythm2Recovery: a model of practice combining rhythmic music with cognitive reflection for social and emotional health within trauma recovery","volume":"38","author":"Faulkner","year":"2017","journal-title":"Austral N Zeal J Fam Ther"},{"key":"B5","doi-asserted-by":"publisher","first-page":"998451","DOI":"10.3389\/fpsyg.2022.998451","article-title":"Analysis and research on the influence of music on students' mental health under the background of deep learning","volume":"13","author":"Wang","year":"2022","journal-title":"Front Psychol"},{"key":"B6","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.ijcard.2012.03.119","article-title":"How accurate is pulse rate variability as an estimate of heart rate variability?","volume":"166","author":"Sch\u00e4fer","year":"2013","journal-title":"Int J Cardiol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2022.3171078","article-title":"Artificial intelligence-based cyber-physical system for severity classification of chikungunya disease","volume":"10","author":"Singh","year":"2022","journal-title":"IEEE J Transl Eng Health Med"},{"key":"B8","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"key":"B9","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1145\/2939672.2939785","article-title":"Xgboost: a scalable tree boosting system","author":"Chen","year":"2016","journal-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"},{"key":"B10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-3-642-24797-2_4","article-title":"Long short-term memory","author":"Graves","year":"2012","journal-title":"Supervised Sequence Labelling With Recurrent Neural Networks"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1803.01271","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv Preprint arXiv:180301271"},{"key":"B12","doi-asserted-by":"publisher","first-page":"729213","DOI":"10.3389\/fpsyg.2021.729213","article-title":"Applying the cloud intelligent classroom to the music curriculum design of the mental health education","volume":"12","author":"Liang","year":"2021","journal-title":"Front Psychol"},{"key":"B13","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1037\/\/0022-3514.54.6.1063","article-title":"Development and validation of brief measures of positive and negative affect: the PANAS scales","volume":"54","author":"Watson","year":"1988","journal-title":"J Pers Soc Psychol"},{"key":"B14","doi-asserted-by":"publisher","first-page":"612602","DOI":"10.3389\/fphar.2021.612602","article-title":"From precision metapharmacology to patient empowerment: delivery of self-care practices for epilepsy, pain, depression and cancer using digital health technologies","volume":"12","author":"Bulaj","year":"2021","journal-title":"Front Pharmacol"},{"key":"B15","doi-asserted-by":"publisher","first-page":"2100284","DOI":"10.1002\/aisy.202100284","article-title":"Efficient and explainable deep neural networks for airway symptom detection in support of wearable health technology","volume":"4","author":"Groh","year":"2022","journal-title":"Adv Intell Syst"},{"key":"B16","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s11036-024-02366-0","article-title":"Impact of music teaching on student mental health using IoT, recurrent neural networks, and big data analytics","author":"Jia","year":"2024","journal-title":"Mobile Netw Applic"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-024-02401-0","article-title":"assessing psychological health and emotional expression of musical education using Q-learning","author":"Na","year":"2024","journal-title":"Mobile Netw Applic"},{"key":"B18","first-page":"446","article-title":"Bio-feedback Based In-flight Music System Design to Promote Heart Health","volume-title":"Proceedings of 2009 International Conference on Machine Learning and Computing (IACSIT ICMLC 2009)","author":"Liu","year":"2009"},{"key":"B19","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1080\/10401330902791248","article-title":"Creative expressive encounters in health ethics education: teaching ethics as relational engagement","volume":"21","author":"Milligan","year":"2009","journal-title":"Teach Learn Med"},{"key":"B20","first-page":"914","article-title":"Arts in health: using the arts in undergraduate nursing education to foster critical thinking skills","volume-title":"4th International Technology, Education and Development Conference (INTED 2010).","author":"Carter","year":"2010"}],"container-title":["Frontiers in Public Health"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2025.1633924\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T08:39:18Z","timestamp":1769416758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2025.1633924\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,26]]},"references-count":20,"alternative-id":["10.3389\/fpubh.2025.1633924"],"URL":"https:\/\/doi.org\/10.3389\/fpubh.2025.1633924","relation":{},"ISSN":["2296-2565"],"issn-type":[{"value":"2296-2565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,26]]},"article-number":"1633924"}}