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Titlebook: Digital Health Transformation, Smart Ageing, and Managing Disability; 20th International C Kim Jongbae,Mounir Mokhtari,Lee Seungbok Confere

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樓主: 母牛膽小鬼
51#
發(fā)表于 2025-3-30 12:14:49 | 只看該作者
52#
發(fā)表于 2025-3-30 13:15:45 | 只看該作者
Application of Performance Test Method in Korea for LED Optical Medical Device Samplesnstructions from healthcare providers. Among them, representative personal phototherapy devices include those that use LED. Such devices are known to have effects such as pain and inflammation relief, scar healing, and skin regeneration according to previous studies [.]. With the progress of researc
53#
發(fā)表于 2025-3-30 18:03:00 | 只看該作者
How to Assess the Effectiveness of Arm Support: A Systematic Reviews. Assessment area included performance, function, usability, satisfaction, and psychosocial impact. And more than half of the studies measured performance and function. There were various assessment methods to measure the effectiveness including assessment tools, kinematics, physical examination, q
54#
發(fā)表于 2025-3-30 22:59:17 | 只看該作者
The Internalization of Accountabilityhy subjects, and were used to train four tree-based regression models. The predicted and reference values were compared by Bland-Altman analysis and regression model’s performance was evaluated by the mean absolute error (MAE). The best result was obtained by the XGBoost model with a MAE of 2.6. Bla
55#
發(fā)表于 2025-3-31 02:34:55 | 只看該作者
56#
發(fā)表于 2025-3-31 08:13:49 | 只看該作者
Restructuring the Welfare Statenstructions from healthcare providers. Among them, representative personal phototherapy devices include those that use LED. Such devices are known to have effects such as pain and inflammation relief, scar healing, and skin regeneration according to previous studies [.]. With the progress of researc
57#
發(fā)表于 2025-3-31 12:31:45 | 只看該作者
58#
發(fā)表于 2025-3-31 16:13:33 | 只看該作者
59#
發(fā)表于 2025-3-31 19:44:37 | 只看該作者
Real-time Pilates Posture Recognition System Using Deep Learning Modelsearchers have conducted pose recognition studies for exercise posture correction, the study on Pilates exercise is only one case on static images. Therefore, for the purpose of exercise monitoring, we propose a real-time Pilates posture recognition system on a smartphone for exercise monitoring. We
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