Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Bernard X W Liew"'
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
Wearable sensors like inertial measurement units (IMUs), and those available as smartphone or smartwatch applications, are increasingly used to quantify lumbar mobility. Currently, wearable sensors have to be placed on the back to measure lumbar mobi
Externí odkaz:
https://doaj.org/article/39c7b963b4c5471aaba5c4322a41298e
Autor:
Bernard X. W. Liew, Ben Darlow
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
ObjectivesThe current study used a network analysis approach to explore the complexity of attitudes and beliefs held in people with and without low back pain (LBP). The study aimed to (1) quantify the adjusted associations between individual items of
Externí odkaz:
https://doaj.org/article/01a8157543ce4422868f4b81af45cbab
Publikováno v:
BMJ Open, Vol 13, Iss 11 (2023)
Introduction Attributing musculoskeletal (MSK) pain to normal and commonly occurring imaging findings, such as tendon, cartilage and spinal disc degeneration, has been shown to increase people’s fear of movement, reduce their optimism about recover
Externí odkaz:
https://doaj.org/article/0dab0c51fcaf49389697dcb73a42ac95
Autor:
Carlos Gevers-Montoro, Bernard X. W. Liew, Zoha Deldar, Francisco Miguel Conesa-Buendia, Arantxa Ortega-De Mues, Deborah Falla, Ali Khatibi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Psychological stress, social isolation, physical inactivity, and reduced access to care during lockdowns throughout a pandemic negatively impact pain and function. In the context of the first COVID-19 lockdown in Spain, we aimed to investiga
Externí odkaz:
https://doaj.org/article/c7606475127c4fd5bd2aa78b3a5a483f
Autor:
Bernard X. W. Liew, David Rügamer, Qichang Mei, Zainab Altai, Xuqi Zhu, Xiaojun Zhai, Nelson Cortes
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Alterations in joint contact forces (JCFs) are thought to be important mechanisms for the onset and progression of many musculoskeletal and orthopaedic pain disorders. Computational approaches to JCFs assessment represent the only non-invasive means
Externí odkaz:
https://doaj.org/article/cbad7015b2b84340a78c5ebe0efb3418
Autor:
Zainab Altai, Issam Boukhennoufa, Xiaojun Zhai, Andrew Phillips, Jason Moran, Bernard X. W. Liew
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Joint moment measurements represent an objective biomechemical parameter in joint health assessment. Inverse dynamics based on 3D motion capture data is the current 'gold standard’ to estimate joint moments. Recently, machine learning combined with
Externí odkaz:
https://doaj.org/article/613465c97ca043fb9b55c7357ef4bcff
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284754 (2023)
BackgroundAlthough low back pain (LBP) beliefs have been well investigated in mainstream healthcare discipline students, the beliefs within sports-related study students, such as Sport and Exercise Science (SES), Sports Therapy (ST), and Sport Perfor
Externí odkaz:
https://doaj.org/article/fbd426c3eed44b7f9facfc858425b77c
Autor:
Issam Boukhennoufa, Zainab Altai, Xiaojun Zhai, Victor Utti, Klaus D McDonald-Maier, Bernard X. W. Liew
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Knee joint moments are commonly calculated to provide an indirect measure of knee joint loads. A shortcoming of inverse dynamics approaches is that the process of collecting and processing human motion data can be time-consuming. This study aimed to
Externí odkaz:
https://doaj.org/article/05c8410ecf884cb5ad3abfbc76c99ada
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276983 (2022)
PurposePain-free adults in the general population have been shown to possess unhelpful beliefs that certain movements and postures are harmful to the spine, potentially reinforcing fear-avoidance behaviour. Whether such beliefs occur in individuals u
Externí odkaz:
https://doaj.org/article/a40abeee1bc14723bb83045bd42515be
Publikováno v:
PLoS ONE, Vol 17, Iss 2, p e0263574 (2022)
PurposeThe Oswestry Disability Index (ODI) is a common aggregate measure of disability for people with Low Back Pain (LBP). Scores on individual items and the relationship between items of the ODI may help understand the complexity of low back disord
Externí odkaz:
https://doaj.org/article/c94caf3e52a04aec86b798481ffb1439