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Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements
The linearity of soft robotic sensors (SRS) was recently validated for movement angle assessment using a rigid body structure that accurately depicted critical movements of the foot–ankle complex. The purpose of this study was to continue the validation of SRS for joint angle movement capture on 10...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719149/ https://www.ncbi.nlm.nih.gov/pubmed/31405180 http://dx.doi.org/10.3390/s19163509 |
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author | Saucier, David Luczak, Tony Nguyen, Phuoc Davarzani, Samaneh Peranich, Preston Ball, John E. Burch, Reuben F. Smith, Brian K. Chander, Harish Knight, Adam Prabhu, R. K. |
author_facet | Saucier, David Luczak, Tony Nguyen, Phuoc Davarzani, Samaneh Peranich, Preston Ball, John E. Burch, Reuben F. Smith, Brian K. Chander, Harish Knight, Adam Prabhu, R. K. |
author_sort | Saucier, David |
collection | PubMed |
description | The linearity of soft robotic sensors (SRS) was recently validated for movement angle assessment using a rigid body structure that accurately depicted critical movements of the foot–ankle complex. The purpose of this study was to continue the validation of SRS for joint angle movement capture on 10 participants (five male and five female) performing ankle movements in a non-weight bearing, high-seated, sitting position. The four basic ankle movements—plantar flexion (PF), dorsiflexion (DF), inversion (INV), and eversion (EVR)—were assessed individually in order to select good placement and orientation configurations (POCs) for four SRS positioned to capture each movement type. PF, INV, and EVR each had three POCs identified based on bony landmarks of the foot and ankle while the DF location was only tested for one POC. Each participant wore a specialized compression sock where the SRS could be consistently tested from all POCs for each participant. The movement data collected from each sensor was then compared against 3D motion capture data. R-squared and root-mean-squared error averages were used to assess relative and absolute measures of fit to motion capture output. Participant robustness, opposing movements, and gender were also used to identify good SRS POC placement for foot–ankle movement capture. |
format | Online Article Text |
id | pubmed-6719149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67191492019-09-10 Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements Saucier, David Luczak, Tony Nguyen, Phuoc Davarzani, Samaneh Peranich, Preston Ball, John E. Burch, Reuben F. Smith, Brian K. Chander, Harish Knight, Adam Prabhu, R. K. Sensors (Basel) Article The linearity of soft robotic sensors (SRS) was recently validated for movement angle assessment using a rigid body structure that accurately depicted critical movements of the foot–ankle complex. The purpose of this study was to continue the validation of SRS for joint angle movement capture on 10 participants (five male and five female) performing ankle movements in a non-weight bearing, high-seated, sitting position. The four basic ankle movements—plantar flexion (PF), dorsiflexion (DF), inversion (INV), and eversion (EVR)—were assessed individually in order to select good placement and orientation configurations (POCs) for four SRS positioned to capture each movement type. PF, INV, and EVR each had three POCs identified based on bony landmarks of the foot and ankle while the DF location was only tested for one POC. Each participant wore a specialized compression sock where the SRS could be consistently tested from all POCs for each participant. The movement data collected from each sensor was then compared against 3D motion capture data. R-squared and root-mean-squared error averages were used to assess relative and absolute measures of fit to motion capture output. Participant robustness, opposing movements, and gender were also used to identify good SRS POC placement for foot–ankle movement capture. MDPI 2019-08-10 /pmc/articles/PMC6719149/ /pubmed/31405180 http://dx.doi.org/10.3390/s19163509 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Saucier, David Luczak, Tony Nguyen, Phuoc Davarzani, Samaneh Peranich, Preston Ball, John E. Burch, Reuben F. Smith, Brian K. Chander, Harish Knight, Adam Prabhu, R. K. Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title | Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title_full | Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title_fullStr | Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title_full_unstemmed | Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title_short | Closing the Wearable Gap—Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements |
title_sort | closing the wearable gap—part ii: sensor orientation and placement for foot and ankle joint kinematic measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719149/ https://www.ncbi.nlm.nih.gov/pubmed/31405180 http://dx.doi.org/10.3390/s19163509 |
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