{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:35:19Z","timestamp":1787027719351,"version":"build-2736575974"},"reference-count":50,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biomimetics"],"abstract":"<jats:p>Population aging and rising rehabilitation demands highlight the need for advanced assistive devices to improve mobility in individuals with motor impairments. Existing back-support lifting nursing beds often lack adequate human\u2013machine adaptability, safety, and emotional consideration. This study presents a human-centered, data-driven optimization pipeline that integrates behavior\u2013emotion dual recognition, simulation verification, and parameter optimization with user demand mining, biomechanical simulation, and sustainable practices. The design utilizes GreenAI, focusing on low-power algorithms and eco-friendly materials, ensuring energy-efficient AI models and reducing the environmental footprint. A dual-channel data fusion method was developed, combining movement parameters from sit-to-lie transitions with emotional needs extracted from e-commerce reviews using the Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) models. The fuzzy Kano model prioritized design objectives, identifying multi-position adjustment, joint protection, armrest optimization, and interaction comfort as key targets. An AnyBody-based human\u2013device model quantified muscle (erector spinae, rectus abdominis, trapezius) and hip joint loads during posture changes. Simulations verified the design\u2019s ability to improve load distribution, reduce joint stress, and enhance comfort. The optimized nursing bed demonstrated improved adaptability across user profiles while maintaining functional reliability. This framework offers a scalable paradigm for intelligent rehabilitation equipment design, with potential extension toward AI-driven adaptive control and clinical validation. This sustainable methodology ensures that the device not only meets rehabilitation goals but also contributes to a more environmentally responsible healthcare solution, aligning with global sustainability efforts.<\/jats:p>","DOI":"10.3390\/biomimetics10110764","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T14:37:52Z","timestamp":1763131072000},"page":"764","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Design Methodology for a Backrest-Lifting Nursing Bed Based on Dual-Channel Behavior\u2013Emotion Data Fusion and Biomechanical Simulation: A Human-Centered and Data-Driven Optimization Approach"],"prefix":"10.3390","volume":"10","author":[{"given":"Xiaochan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Design, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheolhee","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Design, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyuan","family":"Ge","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Design, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,12]]},"reference":[{"key":"ref_1","first-page":"tre-02-42-195-1","article-title":"Movement Disorders after Stroke in Adults: A Review","volume":"2","author":"Bansil","year":"2012","journal-title":"Tremor Other Hyperkinetic Mov."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"272","DOI":"10.4103\/0028-3886.314574","article-title":"Post-stroke movement disorders: Clinical spectrum, pathogenesis, and management","volume":"69","author":"Tater","year":"2021","journal-title":"Neurol. 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