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1,506 results on '"Song Lixin"'

1. Optimal Tai Chi forms in knee osteoarthritis: An exploration from biomechanical rationale to pain reduction.

Author

Yang, Feng, Gelfond, Jonathan, McGeary, Donald, Perkins, Allen, Song, Lixin, Escalante, Agustín, Liu, Wei, and Moore, Alison

Subjects
Knee joint biomechanics, Optimizing Tai Chi, Pain
Abstract

OBJECTIVES: Tai Chi (TC) shows some beneficial effects in reducing pain in knee osteoarthritis (OA). However, the selection of criteria TC forms in previous studies were unclear and inconsistent, possibly accounting for the varying outcomes and rendering the training effects suboptimal. We have selected four optimal TC (OTC) forms based on the knee joint load and its association with pain. This pilot study sought to examine the effect of the OTC forms on reducing knee pain in individuals with knee OA. METHODS: Fifteen knee OA participants were recruited. Their knee joint pain level was rated by using the Visual Analogue Scale before and after two weeks of OTC training and compared between these two assessments. RESULTS: The two-week OTC training course was well accepted by our participants. The knee OA pain showed a significant reduction (median pain score: 5 ​cm before training and 1 ​cm post-training, Wilcoxon p ​

Published
2024

2. Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare

Author

Monjur, Mahathir, Liu, Jia, Xu, Jingye, Zhang, Yuntong, Wang, Xiaomeng, Li, Chengdong, Park, Hyejin, Wang, Wei, Shieh, Karl, Munir, Sirajum, Wang, Jing, Song, Lixin, and Nirjon, Shahriar

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper examines the application of WiFi signals for real-world monitoring of daily activities in home healthcare scenarios. While the state-of-the-art of WiFi-based activity recognition is promising in lab environments, challenges arise in real-world settings due to environmental, subject, and system configuration variables, affecting accuracy and adaptability. The research involved deploying systems in various settings and analyzing data shifts. It aims to guide realistic development of robust, context-aware WiFi sensing systems for elderly care. The findings suggest a shift in WiFi-based activity sensing, bridging the gap between academic research and practical applications, enhancing life quality through technology.

Published
2024

4. Quasi-maximum likelihood estimator of Laplace (1, 1) for GARCH models

Author

Xuan Haiyan, Song Lixin, Amin Muhammad, and Shi Yongxia

Subjects
asymptotic normality, garch model, laplace (1,1), quasi-maximum likelihood estimator, strong consistency, 62m10, 91g70, Mathematics, QA1-939
Abstract

This paper studies the quasi-maximum likelihood estimator (QMLE) for the generalized autoregressive conditional heteroscedastic (GARCH) model based on the Laplace (1,1) residuals. The QMLE is proposed to the parameter vector of the GARCH model with the Laplace (1,1) firstly. Under some certain conditions, the strong consistency and asymptotic normality of QMLE are then established. In what follows, a real example with Laplace and normal distribution is analyzed to evaluate the performance of the QMLE and some comparison results on the performance are given. In the end the proofs of some theorem are presented.

Published
2017
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