Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems
Knee osteoarthritis is a progressive disease characterized by the degeneration of articular cartilage of the knee joint. To understand the causes and effects of pathological gait symptoms and to optimize intervention management, refined methods for the quantitative assessment of gait and its impairm...
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| Fformat: | Online |
| Iaith: | Saesneg |
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FAU University Press
2025
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| Mynediad Ar-lein: | ONIX_20251215T160010_9783961471799_44 |
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Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869529308974809088 |
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| author | Kluge, Felix |
| author_browse | Kluge, Felix |
| author_facet | Kluge, Felix |
| author_sort | Kluge, Felix |
| collection | Directory of Open Access Books |
| description | Knee osteoarthritis is a progressive disease characterized by the degeneration of articular cartilage of the knee joint. To understand the causes and effects of pathological gait symptoms and to optimize intervention management, refined methods for the quantitative assessment of gait and its impairment are necessary. However, objective functional gait measures are commonly not assessed in clinical practice. This thesis presents the application of state-of-the-art methods of human gait analysis using infrared cinematography to investigate the fundamentals of gait and the effect of non-invasive interventions in osteoarthritis. Although cinematography is considered the gold standard in movement analysis, its use for gait assessment in clinical routine is limited due to high costs and operational efforts. Therefore, a mobile sensorbased system was validated and then applied to a population of osteoarthritis patients undergoing total knee arthroplasty. The system achieved high discriminative ability and a highly accurate prediction of whether patients‘ gait improved or aggravated after surgery was possible based on pre-operative gait parameters. The findings are beneficial for the domain of intervention research and for the integration of objective and ambulatory gait analysis into clinical practice. |
| format | Online |
| id | doab-20.500.12854ir-170200 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | FAU University Press |
| publisherStr | FAU University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1702002025-12-16T05:18:59Z Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems Kluge, Felix Motion Capturing Maschinelles Lernen Bewegungsstörung Beschleunigungssensor Gelenkkrankheit Ganganalyse thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology::MFGV Biomechanics, human kinetics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Knee osteoarthritis is a progressive disease characterized by the degeneration of articular cartilage of the knee joint. To understand the causes and effects of pathological gait symptoms and to optimize intervention management, refined methods for the quantitative assessment of gait and its impairment are necessary. However, objective functional gait measures are commonly not assessed in clinical practice. This thesis presents the application of state-of-the-art methods of human gait analysis using infrared cinematography to investigate the fundamentals of gait and the effect of non-invasive interventions in osteoarthritis. Although cinematography is considered the gold standard in movement analysis, its use for gait assessment in clinical routine is limited due to high costs and operational efforts. Therefore, a mobile sensorbased system was validated and then applied to a population of osteoarthritis patients undergoing total knee arthroplasty. The system achieved high discriminative ability and a highly accurate prediction of whether patients‘ gait improved or aggravated after surgery was possible based on pre-operative gait parameters. The findings are beneficial for the domain of intervention research and for the integration of objective and ambulatory gait analysis into clinical practice. 2025-12-16T05:18:57Z 2025-12-16T05:18:57Z 2025-12-15T15:04:27Z 2019 book ONIX_20251215T160010_9783961471799_44 https://library.oapen.org/handle/20.500.12657/109164 9783961471799 9783961471782 https://directory.doabooks.org/handle/20.500.12854/170200 eng FAU Studien aus der Informatik open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/109164/1/9783961471799.pdf FAU University Press 10.25593/978-3-96147-179-9 10.25593/978-3-96147-179-9 2c600dea-eece-4066-87be-da335e323fdb 9783961471799 9783961471782 241 Erlangen open access |
| spellingShingle | Motion Capturing Maschinelles Lernen Bewegungsstörung Beschleunigungssensor Gelenkkrankheit Ganganalyse thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology::MFGV Biomechanics, human kinetics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Kluge, Felix Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title | Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title_full | Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title_fullStr | Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title_full_unstemmed | Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title_short | Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems |
| title_sort | instrumented gait analysis in osteoarthritis from lab towards ambulatory systems |
| topic | Motion Capturing Maschinelles Lernen Bewegungsstörung Beschleunigungssensor Gelenkkrankheit Ganganalyse thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology::MFGV Biomechanics, human kinetics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Motion Capturing Maschinelles Lernen Bewegungsstörung Beschleunigungssensor Gelenkkrankheit Ganganalyse thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology::MFGV Biomechanics, human kinetics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20251215T160010_9783961471799_44 |
| work_keys_str_mv | AT klugefelix instrumentedgaitanalysisinosteoarthritisfromlabtowardsambulatorysystems |