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June 06, 2022Research Article

Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia: A Cross-Sectional Multicenter Clinical Study

View ORCID ProfileMartin Regensburger, Imke Tabea Spatz, Malte Ollenschläger, Christine F Martindale, Philipp Lindeburg, Zacharias Kohl, View ORCID ProfileBjörn Eskofier, Jochen Klucken, Rebecca Schüle, Stephan Klebe, Jürgen Winkler, View ORCID ProfileHeiko Gaßner
First published June 6, 2022, DOI: https://doi.org/10.1212/WNL.0000000000200819
Martin Regensburger
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
2Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
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  • ORCID record for Martin Regensburger
  • For correspondence: martin.regensburger@uk-erlangen.de
Imke Tabea Spatz
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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Malte Ollenschläger
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
3Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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Christine F Martindale
3Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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Philipp Lindeburg
4Department of Neurology, University Hospital Essen, Essen, Germany
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Zacharias Kohl
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
2Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
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Björn Eskofier
3Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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  • ORCID record for Björn Eskofier
Jochen Klucken
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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Rebecca Schüle
5Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
6German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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Stephan Klebe
4Department of Neurology, University Hospital Essen, Essen, Germany
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Jürgen Winkler
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
2Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
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Heiko Gaßner
1Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
2Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
7Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany
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Citation
Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia: A Cross-Sectional Multicenter Clinical Study
Martin Regensburger, Imke Tabea Spatz, Malte Ollenschläger, Christine F Martindale, Philipp Lindeburg, Zacharias Kohl, Björn Eskofier, Jochen Klucken, Rebecca Schüle, Stephan Klebe, Jürgen Winkler, Heiko Gaßner
Neurology Jun 2022, 10.1212/WNL.0000000000200819; DOI: 10.1212/WNL.0000000000200819

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Abstract

Background and objectives: Hereditary spastic paraplegia (HSP) causes progressive spasticity and weakness of the lower limbs. As neurological examination and the clinical Spastic Paraplegia Rating Scale (SPRS) are subject to potential patient- and clinician-dependent bias, instrumented gait analysis bears the potential to objectively quantify impaired gait. The aim of the present study was to investigate gait cyclicity parameters by application of a mobile gait analysis system in a cross sectional cohort of HSP patients and a longitudinal fast progressing subcohort.

Methods: Using wearable sensors attached to the shoes, HSP patients and controls performed a 4x10 meters walking test during regular visits in three outpatient centers. Patients were also rated according to the SPRS and in a subset, questionnaires on quality of life and fear of falling were obtained. An unsupervised segmentation algorithm was employed to extract stride parameters and respective coefficients of variation.

Results: Mobile gait analysis was performed in a total of 112 ambulatory HSP patients and 112 age and gender matched controls. While swing time was unchanged compared to controls, there were significant increases in the duration of the total stride phase and the duration of the stance phase, both regarding absolute values and coefficients of variation values. While stride parameters did not correlate to age, weight or height of the patients, there were significant associations of absolute stride parameters to single SPRS items reflecting impaired mobility (|r| > 0.50), to patients’ quality of life (|r| > 0.44), and notably to disease duration (|r| > 0.27). Sensor-derived coefficients of variation, on the other hand, were associated with patient-reported fear of falling (|r| > 0.41) and cognitive impairment (|r| > 0.40). In a small 1-year follow-up analysis of patients with complicated HSP and fast progression, absolute values of mobile gait parameters had significantly worsened compared to baseline.

Discussion: The presented wearable sensor system provides parameters of stride characteristics which appear clinically valid to reflect gait impairment in HSP. Due to the feasibility with regard to time, space and costs, the present study forms the basis for larger scale longitudinal and interventional studies in HSP.

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  • Received January 17, 2022.
  • Accepted in final form April 19, 2022.
  • © 2022 American Academy of Neurology

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