Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Isuru Senadheera"'
1
Akademický článek
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Autor: Isuru Senadheera, Prasad Hettiarachchi, Brendon Haslam, Rashmika Nawaratne, Jacinta Sheehan, Kylee J. Lockwood, Damminda Alahakoon, Leeanne M. Carey
Publikováno v: Sensors, Vol 24, Iss 20, p 6585 (2024)
Stroke is a leading cause of long-term disability worldwide. With the advancements in sensor technologies and data availability, artificial intelligence (AI) holds the promise of improving the amount, quality and efficiency of care and enhancing the
Externí odkaz: https://doaj.org/article/c13417e4a54d472bbcb38969e0723b97
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2
Akademický článek
Profiling Somatosensory Impairment after Stroke: Characterizing Common 'Fingerprints' of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb
Autor: Isuru Senadheera, Beverley C. Larssen, Yvonne Y. K. Mak-Yuen, Sarah Steinfort, Leeanne M. Carey, Damminda Alahakoon
Publikováno v: Brain Sciences, Vol 13, Iss 9, p 1253 (2023)
Altered somatosensory function is common among stroke survivors, yet is often poorly characterized. Methods of profiling somatosensation that illustrate the variability in impairment within and across different modalities remain limited. We aimed to
Externí odkaz: https://doaj.org/article/1b7ef476f511410dbc07f747fda5d134
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3
Akademický článek
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI.
Autor: Senadheera, Isuru1,2 (AUTHOR) b.haslam@latrobe.edu.au, Hettiarachchi, Prasad1,2 (AUTHOR) j.sheehan@latrobe.edu.au, Haslam, Brendon2,3 (AUTHOR) k.lockwood@latrobe.edu.au, Nawaratne, Rashmika1 (AUTHOR) b.nawaratne@latrobe.edu.au, Sheehan, Jacinta2 (AUTHOR), Lockwood, Kylee J.2 (AUTHOR), Alahakoon, Damminda1 (AUTHOR) d.alahakoon@latrobe.edu.au, Carey, Leeanne M.2,3 (AUTHOR) l.carey@latrobe.edu.au
Publikováno v: Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6585. 32p.
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4
Akademický článek
Profiling Somatosensory Impairment after Stroke: Characterizing Common "Fingerprints" of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb.
Autor: Senadheera, Isuru1,2 (AUTHOR) blarssen@student.ubc.ca, Larssen, Beverley C.2,3 (AUTHOR) y.mak-yuen@latrobe.edu.au, Mak-Yuen, Yvonne Y. K.2,4,5 (AUTHOR) s.steinfort@latrobe.edu.au, Steinfort, Sarah2,4 (AUTHOR) l.carey@latrobe.edu.au, Carey, Leeanne M.2,4 (AUTHOR), Alahakoon, Damminda1 (AUTHOR) d.alahakoon@latrobe.edu.au
Publikováno v: Brain Sciences (2076-3425). Sep2023, Vol. 13 Issue 9, p1253. 25p.
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