Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease
In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that promptitude...
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| Formaat: | Online |
| Taal: | Engels |
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FAU University Press
2025
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| Online toegang: | ONIX_20251215T160010_9783961470839_40 |
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| _version_ | 1869521648557752320 |
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| author | Barth, Jens Gerhard |
| author_browse | Barth, Jens Gerhard |
| author_facet | Barth, Jens Gerhard |
| author_sort | Barth, Jens Gerhard |
| collection | Directory of Open Access Books |
| description | In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that promptitude which the will directs,...". Gait disorders still play an important role in PD since the diagnosis, the staging of the disease level, and also the assessment of therapeutic outcomes are based mainly on the rating of movement impairments. The state-of-the-art scores and scales to rate PD are based solely on subjective assessment of movement disorder specialists. A more objective rating of disease related impairments is therefore an urgent need to support clinical decision making. In this thesis the development of a mobile and unobtrusive system to rate gait impairments with wearable sensors is described. An inertial measurement system was used to provide standard gait parameters and a scoring that rates PD related gait impairments. This system supplies physicians and therapists of movement disorders with objective and complementary data and consequently improves clinical decision making. |
| format | Online |
| id | doab-20.500.12854ir-170165 |
| 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-1701652025-12-16T05:04:58Z Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease Barth, Jens Gerhard Instrumented Gait Score Ganganalyse Classification Parkinsonismus Bewegungsstörung Beschleunigungssensor Inertial Sensors Machine learning UPDRS thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::U Computing and Information Technology In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that promptitude which the will directs,...". Gait disorders still play an important role in PD since the diagnosis, the staging of the disease level, and also the assessment of therapeutic outcomes are based mainly on the rating of movement impairments. The state-of-the-art scores and scales to rate PD are based solely on subjective assessment of movement disorder specialists. A more objective rating of disease related impairments is therefore an urgent need to support clinical decision making. In this thesis the development of a mobile and unobtrusive system to rate gait impairments with wearable sensors is described. An inertial measurement system was used to provide standard gait parameters and a scoring that rates PD related gait impairments. This system supplies physicians and therapists of movement disorders with objective and complementary data and consequently improves clinical decision making. 2025-12-16T05:04:57Z 2025-12-16T05:04:57Z 2025-12-15T15:04:16Z 2018 book ONIX_20251215T160010_9783961470839_40 https://library.oapen.org/handle/20.500.12657/109160 9783961470839 9783961470822 https://directory.doabooks.org/handle/20.500.12854/170165 eng FAU Studien aus der Informatik open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/109160/1/9783961470839.pdf FAU University Press 10.25593/978-3-96147-083-9 10.25593/978-3-96147-083-9 2c600dea-eece-4066-87be-da335e323fdb 9783961470839 9783961470822 220 Erlangen open access |
| spellingShingle | Instrumented Gait Score Ganganalyse Classification Parkinsonismus Bewegungsstörung Beschleunigungssensor Inertial Sensors Machine learning UPDRS thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::U Computing and Information Technology Barth, Jens Gerhard Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title | Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title_full | Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title_fullStr | Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title_full_unstemmed | Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title_short | Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease |
| title_sort | development and validation of a mobile gait analysis system providing clinically relevant target parameters in parkinson s disease |
| topic | Instrumented Gait Score Ganganalyse Classification Parkinsonismus Bewegungsstörung Beschleunigungssensor Inertial Sensors Machine learning UPDRS thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::U Computing and Information Technology |
| topic_facet | Instrumented Gait Score Ganganalyse Classification Parkinsonismus Bewegungsstörung Beschleunigungssensor Inertial Sensors Machine learning UPDRS thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::U Computing and Information Technology |
| url | ONIX_20251215T160010_9783961470839_40 |
| work_keys_str_mv | AT barthjensgerhard developmentandvalidationofamobilegaitanalysissystemprovidingclinicallyrelevanttargetparametersinparkinsonsdisease |