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http://hdl.handle.net/1942/32615
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DC Field | Value | Language |
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dc.contributor.author | Filtjens, Benjamin | - |
dc.contributor.author | Nieuwboer, Alice | - |
dc.contributor.author | D'cruz, Nicholas | - |
dc.contributor.author | SPILDOOREN, Joke | - |
dc.contributor.author | SLAETS, Leen | - |
dc.contributor.author | VANRUMSTE, Bart | - |
dc.date.accessioned | 2020-11-16T15:01:55Z | - |
dc.date.available | 2020-11-16T15:01:55Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-09-09T13:26:13Z | - |
dc.identifier.citation | GAIT & POSTURE, 80 , p. 130 -136 | - |
dc.identifier.uri | http://hdl.handle.net/1942/32615 | - |
dc.description.abstract | Background: Manual annotation of initial contact (IC) and end contact (EC) is a time consuming process. There are currently no robust techniques available to automate this process for Parkinson's disease (PD) patients with freezing of gait (FOG). Objective: To determine the validity of a data-driven approach for automated gait event detection. Methods: 15 freezers were asked to complete several straight-line and 360 degree turning trials in a 3D gait laboratory during the off-period of their medication cycle. Trials that contained a freezing episode were indicated as freezing trials (FOG) and trials without a freezing episode were termed as functional gait (FG). Furthermore, the highly varied gait data between onset and termination of a FOG episode was excluded. A Temporal Convolutional Neural network (TCN) was trained end-to-end with lower extremity kinematics. A Bland-Altman analysis was performed to evaluate the agreement between the results of the proposed model and the manual annotations. Results: For FOG-trials, F1 scores of 0.995 and 0.992 were obtained for IC and EC, respectively. For FG-trials, F1 scores of 0.997 and 0.999 were obtained for IC and EC, respectively. The Bland-Altman plots indicated excellent timing agreement, with on average 39% and 47% of the model predictions occurring within 10 ms from the manual annotations for FOG-trials and FG-trials, respectively. Significance: These results indicate that our data-driven approach for detecting gait events in PD patients with FOG is sufficiently accurate and reliable for clinical applications. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER IRELAND LTD | - |
dc.rights | 2020 Elsevier B.V. All rights reserved. | - |
dc.subject.other | Gait event detection | - |
dc.subject.other | Parkinson's disease | - |
dc.subject.other | Freezing of gait | - |
dc.subject.other | Deep learning | - |
dc.subject.other | CNN | - |
dc.subject.other | Arti ficial intelligence | - |
dc.title | A data-driven approach for detecting gait events during turning in people with Parkinson's disease and freezing of gait | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 136 | - |
dc.identifier.spage | 130 | - |
dc.identifier.volume | 80 | - |
local.format.pages | 7 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Filtjens, B (corresponding author), Katholieke Univ Leuven, eMedia Res Lab STADIUS, Dept Elect Engn ESAT, Andreas Vesaliusstr 13, B-3000 Leuven, Belgium. | - |
dc.description.notes | benjamin.filtjens@kuleuven.be | - |
dc.description.other | Filtjens, B (corresponding author), Katholieke Univ Leuven, eMedia Res Lab STADIUS, Dept Elect Engn ESAT, Andreas Vesaliusstr 13, B-3000 Leuven, Belgium. benjamin.filtjens@kuleuven.be | - |
local.publisher.place | ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, IRELAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.gaitpost.2020.05.026 | - |
dc.identifier.pmid | 32504940 | - |
dc.identifier.isi | WOS:000548457100024 | - |
dc.contributor.orcid | D'Cruz, Nicholas/0000-0002-5306-5903; Filtjens, | - |
dc.contributor.orcid | Benjamin/0000-0003-2609-6883; Vanrumste, Bart/0000-0002-9409-935X | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Filtjens, Benjamin; Vanrumste, Bart] Katholieke Univ Leuven, eMedia Res Lab STADIUS, Dept Elect Engn ESAT, Andreas Vesaliusstr 13, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Filtjens, Benjamin; Slaets, Peter] Katholieke Univ Leuven, Intelligent Mobile Platform Res Grp, Dept Mech Engn, Andreas Vesaliusstr 13, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Nieuwboer, Alice; D'cruz, Nicholas] Katholieke Univ Leuven, Res Grp Neurorehabil eNRGy, Dept Rehabil Sci, Tervuursevest 101, B-3001 Heverlee, Belgium. | - |
local.description.affiliation | [Spildooren, Joke] Hasselt Univ, Rehabil Res Ctr REVAL, Dept Rehabil Sci, Agoralaan Gebouw A, B-3590 Diepenbeek, Belgium. | - |
item.validation | ecoom 2021 | - |
item.accessRights | Open Access | - |
item.fullcitation | Filtjens, Benjamin; Nieuwboer, Alice; D'cruz, Nicholas; SPILDOOREN, Joke; SLAETS, Leen & VANRUMSTE, Bart (2020) A data-driven approach for detecting gait events during turning in people with Parkinson's disease and freezing of gait. In: GAIT & POSTURE, 80 , p. 130 -136. | - |
item.fulltext | With Fulltext | - |
item.contributor | Filtjens, Benjamin | - |
item.contributor | Nieuwboer, Alice | - |
item.contributor | D'cruz, Nicholas | - |
item.contributor | SPILDOOREN, Joke | - |
item.contributor | SLAETS, Leen | - |
item.contributor | VANRUMSTE, Bart | - |
crisitem.journal.issn | 0966-6362 | - |
crisitem.journal.eissn | 1879-2219 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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filtjens.pdf Restricted Access | Published version | 1.16 MB | Adobe PDF | View/Open Request a copy |
Gait_Posture_Revision (no highlight).pdf | Peer-reviewed author version | 176.1 kB | Adobe PDF | View/Open |
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