Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia

Christine F. Martindale; Martin Strauss; Heiko Gassner; Julia List; Meinard Muller; Jochen Klucken; Zacharias Kohl; Bjoern M. Eskofier

doi:10.1109/EMBC.2017.8037062

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia

Christine F. Martindale^*, Martin Strauss, Heiko Gassner, Julia List, Meinard Muller, Jochen Klucken, Zacharias Kohl, Bjoern M. Eskofier

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Gait analysis is an important tool for diagnosis, monitoring and treatment of neurological diseases. Among these are hereditary spastic paraplegias (HSPs) whose main characteristic is heterogeneous gait disturbance. So far HSP gait has been analysed in a limited number of studies, and within a laboratory set up only. Although the rarity of orphan diseases often limits larger scale studies, the investigation of these diseases is still important, not only to the affect population, but also for other diseases which share gait characteristics.

Original language	English
Title of host publication	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1266-1269
Number of pages	4
ISBN (Electronic)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037062
Publication status	Published - 13 Sept 2017
Externally published	Yes
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	11/07/17 → 15/07/17

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10.1109/EMBC.2017.8037062

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Martindale, C. F., Strauss, M., Gassner, H., List, J., Muller, M., Klucken, J., Kohl, Z., & Eskofier, B. M. (2017). Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 1266-1269). Article 8037062 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037062

Martindale, Christine F. ; Strauss, Martin ; Gassner, Heiko et al. / Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1266-1269 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia",

abstract = "Gait analysis is an important tool for diagnosis, monitoring and treatment of neurological diseases. Among these are hereditary spastic paraplegias (HSPs) whose main characteristic is heterogeneous gait disturbance. So far HSP gait has been analysed in a limited number of studies, and within a laboratory set up only. Although the rarity of orphan diseases often limits larger scale studies, the investigation of these diseases is still important, not only to the affect population, but also for other diseases which share gait characteristics.",

author = "Martindale, {Christine F.} and Martin Strauss and Heiko Gassner and Julia List and Meinard Muller and Jochen Klucken and Zacharias Kohl and Eskofier, {Bjoern M.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",

year = "2017",

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doi = "10.1109/EMBC.2017.8037062",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Martindale, CF, Strauss, M, Gassner, H, List, J, Muller, M, Klucken, J, Kohl, Z & Eskofier, BM 2017, Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037062, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 1266-1269, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 11/07/17. https://doi.org/10.1109/EMBC.2017.8037062

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. / Martindale, Christine F.; Strauss, Martin; Gassner, Heiko et al.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1266-1269 8037062 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Muller, Meinard

AU - Klucken, Jochen

AU - Kohl, Zacharias

AU - Eskofier, Bjoern M.

PY - 2017/9/13

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AB - Gait analysis is an important tool for diagnosis, monitoring and treatment of neurological diseases. Among these are hereditary spastic paraplegias (HSPs) whose main characteristic is heterogeneous gait disturbance. So far HSP gait has been analysed in a limited number of studies, and within a laboratory set up only. Although the rarity of orphan diseases often limits larger scale studies, the investigation of these diseases is still important, not only to the affect population, but also for other diseases which share gait characteristics.

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Martindale CF, Strauss M, Gassner H, List J, Muller M, Klucken J et al. Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1266-1269. 8037062. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2017.8037062

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia

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