Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2017 |
| Outros Autores: | , , , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | http://hdl.handle.net/10451/54378 |
Resumo: | Copyright: © 2017 Pham, Elshehabi, Haertner, Del Din, Srulijes, Heger, Synofzik, Hobert, Faber, Hansen, Salkovic, Ferreira, Berg, Sanchez-Ferro, van Dieën, Becker, Rochester, Schmidt and Maetzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower backParkinson’s diseaseAccelerometerGait analysishome-like activitiesOder adultsTurningCopyright: © 2017 Pham, Elshehabi, Haertner, Del Din, Srulijes, Heger, Synofzik, Hobert, Faber, Hansen, Salkovic, Ferreira, Berg, Sanchez-Ferro, van Dieën, Becker, Rochester, Schmidt and Maetzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Introduction: Inertial measurement units (IMUs) positioned on various body locations allow detailed gait analysis even under unconstrained conditions. From a medical perspective, the assessment of vulnerable populations is of particular relevance, especially in the daily-life environment. Gait analysis algorithms need thorough validation, as many chronic diseases show specific and even unique gait patterns. The aim of this study was therefore to validate an acceleration-based step detection algorithm for patients with Parkinson's disease (PD) and older adults in both a lab-based and home-like environment. Methods: In this prospective observational study, data were captured from a single 6-degrees of freedom IMU (APDM) (3DOF accelerometer and 3DOF gyroscope) worn on the lower back. Detection of heel strike (HS) and toe off (TO) on a treadmill was validated against an optoelectronic system (Vicon) (11 PD patients and 12 older adults). A second independent validation study in the home-like environment was performed against video observation (20 PD patients and 12 older adults) and included step counting during turning and non-turning, defined with a previously published algorithm. Results: A continuous wavelet transform (cwt)-based algorithm was developed for step detection with very high agreement with the optoelectronic system. HS detection in PD patients/older adults, respectively, reached 99/99% accuracy. Similar results were obtained for TO (99/100%). In HS detection, Bland-Altman plots showed a mean difference of 0.002 s [95% confidence interval (CI) -0.09 to 0.10] between the algorithm and the optoelectronic system. The Bland-Altman plot for TO detection showed mean differences of 0.00 s (95% CI -0.12 to 0.12). In the home-like assessment, the algorithm for detection of occurrence of steps during turning reached 90% (PD patients)/90% (older adults) sensitivity, 83/88% specificity, and 88/89% accuracy. The detection of steps during non-turning phases reached 91/91% sensitivity, 90/90% specificity, and 91/91% accuracy. Conclusion: This cwt-based algorithm for step detection measured at the lower back is in high agreement with the optoelectronic system in both PD patients and older adults. This approach and algorithm thus could provide a valuable tool for future research on home-based gait analysis in these vulnerable cohorts.The study was supported by the EU project FAIR-PARK II, funded under the Horizon2020 Program of the European commission (grant no. 633190, PHC13 2014–2015; NCT02655315) and by Lundbeck. The funding sources did not have any role in conception and design of the study, acquisition, analysis, and interpretation of data, and in writing of the manuscript. The authors acknowledge financial support by Land Schleswig-Holstein within the funding program Open Access Publikationsfonds. SD and LR are supported by the Newcastle Biomedical Research Centre (BRC) and Unit (BRU) based at Newcastle upon Tyne and Newcastle University. They are also supported by the NIHR/Wellcome Trust Clinical Research Facility (CRF) infrastructure at Newcastle upon Tyne Hospitals NHS Foundation Trust. KS and MS received financial support from the Forschungskolleg Geriatrie of the Robert Bosch Foundation, Stuttgart, Germany.FrontiersRepositório da Universidade de LisboaPham, Minh H.Elshehabi, MoradHaertner, LindaDel Din, SilviaSrulijes, KarinHeger, TanjaSynofzik, MatthisHobert, Markus A.Faber, Gert S.Hansen, ClintSalkovic, DinaFerreira, Joaquim JBerg, DanielaSanchez-Ferro, Álvarovan Dieën, Jaap H.Becker, ClemensRochester, LynnSchmidt, GerhardMaetzler, Walter2022-09-08T13:19:44Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/54378engFront Neurol. 2017 Sep 4;8:45710.3389/fneur.2017.004571664-2295info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:00:12Zoai:repositorio.ul.pt:10451/54378Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:04:55.226451Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| title |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| spellingShingle |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back Pham, Minh H. Parkinson’s disease Accelerometer Gait analysis home-like activities Oder adults Turning |
| title_short |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| title_full |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| title_fullStr |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| title_full_unstemmed |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| title_sort |
Validation of a step detection algorithm during straight walking and turning in patients with Parkinson’s disease and older adults using an inertial measurement unit at the lower back |
| author |
Pham, Minh H. |
| author_facet |
Pham, Minh H. Elshehabi, Morad Haertner, Linda Del Din, Silvia Srulijes, Karin Heger, Tanja Synofzik, Matthis Hobert, Markus A. Faber, Gert S. Hansen, Clint Salkovic, Dina Ferreira, Joaquim J Berg, Daniela Sanchez-Ferro, Álvaro van Dieën, Jaap H. Becker, Clemens Rochester, Lynn Schmidt, Gerhard Maetzler, Walter |
| author_role |
author |
| author2 |
Elshehabi, Morad Haertner, Linda Del Din, Silvia Srulijes, Karin Heger, Tanja Synofzik, Matthis Hobert, Markus A. Faber, Gert S. Hansen, Clint Salkovic, Dina Ferreira, Joaquim J Berg, Daniela Sanchez-Ferro, Álvaro van Dieën, Jaap H. Becker, Clemens Rochester, Lynn Schmidt, Gerhard Maetzler, Walter |
| author2_role |
author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
| dc.contributor.author.fl_str_mv |
Pham, Minh H. Elshehabi, Morad Haertner, Linda Del Din, Silvia Srulijes, Karin Heger, Tanja Synofzik, Matthis Hobert, Markus A. Faber, Gert S. Hansen, Clint Salkovic, Dina Ferreira, Joaquim J Berg, Daniela Sanchez-Ferro, Álvaro van Dieën, Jaap H. Becker, Clemens Rochester, Lynn Schmidt, Gerhard Maetzler, Walter |
| dc.subject.por.fl_str_mv |
Parkinson’s disease Accelerometer Gait analysis home-like activities Oder adults Turning |
| topic |
Parkinson’s disease Accelerometer Gait analysis home-like activities Oder adults Turning |
| description |
Copyright: © 2017 Pham, Elshehabi, Haertner, Del Din, Srulijes, Heger, Synofzik, Hobert, Faber, Hansen, Salkovic, Ferreira, Berg, Sanchez-Ferro, van Dieën, Becker, Rochester, Schmidt and Maetzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z 2022-09-08T13:19:44Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/54378 |
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http://hdl.handle.net/10451/54378 |
| dc.language.iso.fl_str_mv |
eng |
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eng |
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Front Neurol. 2017 Sep 4;8:457 10.3389/fneur.2017.00457 1664-2295 |
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Frontiers |
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