A novel user scenario and behavior sequence recognition approach based on vision-context fusion architecture

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103161 - 103161

Published: Feb. 6, 2025

Language: Английский

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Enhancing long-term adherence in elderly stroke rehabilitation through a digital health approach based on multimodal feedback and personalized intervention

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

Multimodal digital health technologies aim to improve long-term adherence in stroke patients through personalized feedback and psychological monitoring. However, the interactive effects of physiological factors on rehabilitation remain unclear. This study evaluates feedback, factors, their independent synergistic optimize elderly patients. was designed as a longitudinal study, with data collected from 180 participants across two central hospitals between March September 2024. A linear mixed model (LMM) used analyze impact monitoring, mechanisms patient adherence. Data were gathered structured questionnaires, resulting final sample size 540 points. The time effect has significant positive compliance. plan completion rate (A1) increases by 1.25 (t = 34.25) 2.28 units 62.56) mid-term follow-up (T2) (T3) respectively; self-reported compliance score (A2) 1.12 31.39) 2.3 points 64.27) at T2 T3 specific activities (A3) 1.37 50.34) 2.34 86.26); number interruptions (A4) decreases 0.89 -17.31) 2.11 times -41.17) respectively. In high-quality (D2) significantly promotes (β 0.0318, t 2.08), while excessively frequent (D1) showes negative (β=-0.0914, t=-1.93 ). terms emotion (C3) 0.1572, 2.695), depressed (C1) reduces interruption behavior (β=-0.0885). interaction is not significant, indicating that influence relatively independent. demonstrates support, are essential for enhancing High-quality, relevant improves adherence, ineffective may have adverse effects. Positive emotions within promote whereas depressive hinder recovery, underscoring importance support. Although lack effects, influences merit attention optimization interventions.

Language: Английский

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Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students

International Journal of Decision Support System Technology, Journal Year: 2024, Volume and Issue: 16(1), P. 1 - 18

Published: Nov. 9, 2024

This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students neck and shoulder diseases. Ninety were randomly assigned to receive either alone or therapy. Visual analogue scale (VAS), disability index (NDI), cervical range motion, electromyography (EMG), soft tissue parameters assessed pre- post-treatment. Both groups showed improved VAS NDI scores post-treatment, greater enhancements therapy group. Cervical EMG values, also favored Statistical analysis revealed significant differences (P<0.05) between groups. Static effectively improves function, reduces pain, enhances rehabilitation outcomes compared alone. approach shows promise for optimizing similar musculoskeletal conditions.

Language: Английский

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Technical assessment of solar energy storage investments with recommender system-enhanced quantum picture fuzzy rough sets

International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 163, P. 110361 - 110361

Published: Nov. 10, 2024

Language: Английский

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