Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales
The evaluation of local divergence exponent (LDE) has been proposed as a common gait stability measure in people with multiple sclerosis (PwMS). However, differences in methods of determining LDE may lead to different results. Therefore, the purpose of the current study was to determine the effect o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/12/4001 |
| _version_ | 1797530693865046016 |
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| author | Roy Müller Lucas Schreff Lisa-Eyleen Koch Patrick Oschmann Daniel Hamacher |
| author_facet | Roy Müller Lucas Schreff Lisa-Eyleen Koch Patrick Oschmann Daniel Hamacher |
| author_sort | Roy Müller |
| collection | DOAJ |
| description | The evaluation of local divergence exponent (LDE) has been proposed as a common gait stability measure in people with multiple sclerosis (PwMS). However, differences in methods of determining LDE may lead to different results. Therefore, the purpose of the current study was to determine the effect of different sensor locations and LDE measures on the sensitivity to discriminate PwMS. To accomplish this, 86 PwMS and 30 healthy participants were instructed to complete a six-minute walk wearing inertial sensors attached to the foot, trunk and lumbar spine. Due to possible fatigue effects, the LDE short (~50% of stride) and very short (~5% of stride) were calculated for the remaining first, middle and last 30 strides. The effect of group (PwMS vs. healthy participants) and time (begin, mid, end) and the effect of Expanded Disability Status Scale (EDSS) and time were assessed with linear random intercepts models. We found that perturbations seem to be better compensated in healthy participants on a longer time scale based on trunk movements and on a shorter time scale (almost instantaneously) according to the foot kinematics. Therefore, we suggest to consider both sensor location and time scale of LDE when calculating local gait stability in PwMS. |
| first_indexed | 2024-03-10T10:33:38Z |
| format | Article |
| id | doaj.art-d4fa8b49d71c477d9f9e10b9b9af35e6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:33:38Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d4fa8b49d71c477d9f9e10b9b9af35e62023-11-21T23:29:50ZengMDPI AGSensors1424-82202021-06-012112400110.3390/s21124001Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time ScalesRoy Müller0Lucas Schreff1Lisa-Eyleen Koch2Patrick Oschmann3Daniel Hamacher4Department of Orthopedic Surgery, Klinikum Bayreuth GmbH, 95445 Bayreuth, GermanyDepartment of Orthopedic Surgery, Klinikum Bayreuth GmbH, 95445 Bayreuth, GermanyDepartment of Orthopedic Surgery, Klinikum Bayreuth GmbH, 95445 Bayreuth, GermanyDepartment of Neurology, Klinikum Bayreuth GmbH, 95445 Bayreuth, GermanyDepartment of Sports Science, Friedrich Schiller University Jena, 07749 Jena, GermanyThe evaluation of local divergence exponent (LDE) has been proposed as a common gait stability measure in people with multiple sclerosis (PwMS). However, differences in methods of determining LDE may lead to different results. Therefore, the purpose of the current study was to determine the effect of different sensor locations and LDE measures on the sensitivity to discriminate PwMS. To accomplish this, 86 PwMS and 30 healthy participants were instructed to complete a six-minute walk wearing inertial sensors attached to the foot, trunk and lumbar spine. Due to possible fatigue effects, the LDE short (~50% of stride) and very short (~5% of stride) were calculated for the remaining first, middle and last 30 strides. The effect of group (PwMS vs. healthy participants) and time (begin, mid, end) and the effect of Expanded Disability Status Scale (EDSS) and time were assessed with linear random intercepts models. We found that perturbations seem to be better compensated in healthy participants on a longer time scale based on trunk movements and on a shorter time scale (almost instantaneously) according to the foot kinematics. Therefore, we suggest to consider both sensor location and time scale of LDE when calculating local gait stability in PwMS.https://www.mdpi.com/1424-8220/21/12/4001MS6-min walk25-foot walklocal dynamic stabilityLyapunov exponentfatigue |
| spellingShingle | Roy Müller Lucas Schreff Lisa-Eyleen Koch Patrick Oschmann Daniel Hamacher Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales Sensors MS 6-min walk 25-foot walk local dynamic stability Lyapunov exponent fatigue |
| title | Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales |
| title_full | Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales |
| title_fullStr | Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales |
| title_full_unstemmed | Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales |
| title_short | Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales |
| title_sort | measuring gait stability in people with multiple sclerosis using different sensor locations and time scales |
| topic | MS 6-min walk 25-foot walk local dynamic stability Lyapunov exponent fatigue |
| url | https://www.mdpi.com/1424-8220/21/12/4001 |
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