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Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors
The purpose of this study was to evaluate the use of compressible soft robotic sensors (C-SRS) in determining plantar pressure to infer vertical and shear forces in wearable technology: A ground reaction pressure sock (GRPS). To assess pressure relationships between C-SRS, pressure cells on a BodiTr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982705/ https://www.ncbi.nlm.nih.gov/pubmed/31905941 http://dx.doi.org/10.3390/s20010208 |
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author | Luczak, Tony Burch V, Reuben F. Smith, Brian K. Carruth, Daniel W. Lamberth, John Chander, Harish Knight, Adam Ball, J.E. Prabhu, R.K. |
author_facet | Luczak, Tony Burch V, Reuben F. Smith, Brian K. Carruth, Daniel W. Lamberth, John Chander, Harish Knight, Adam Ball, J.E. Prabhu, R.K. |
author_sort | Luczak, Tony |
collection | PubMed |
description | The purpose of this study was to evaluate the use of compressible soft robotic sensors (C-SRS) in determining plantar pressure to infer vertical and shear forces in wearable technology: A ground reaction pressure sock (GRPS). To assess pressure relationships between C-SRS, pressure cells on a BodiTrak(TM) Vector Plate, and Kistler(TM) Force Plates, thirteen volunteers performed three repetitions of three different movements: squats, shifting center-of-pressure right to left foot, and shifting toes to heels with C-SRS in both anterior–posterior (A/P) and medial–lateral (M/L) sensor orientations. Pearson correlation coefficient of C-SRS to BodiTrak(TM) Vector Plate resulted in an average R-value greater than 0.70 in 618/780 (79%) of sensor to cell comparisons. An average R-value greater than 0.90 was seen in C-SRS comparison to Kistler(TM) Force Plates during shifting right to left. An autoregressive integrated moving average (ARIMA) was conducted to identify and estimate future C-SRS data. No significant differences were seen in sensor orientation. Sensors in the A/P orientation reported a mean R(2) value of 0.952 and 0.945 in the M/L sensor orientation, reducing the effectiveness to infer shear forces. Given the high R values, the use of C-SRSs to infer normal pressures appears to make the development of the GRPS feasible. |
format | Online Article Text |
id | pubmed-6982705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69827052020-02-28 Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors Luczak, Tony Burch V, Reuben F. Smith, Brian K. Carruth, Daniel W. Lamberth, John Chander, Harish Knight, Adam Ball, J.E. Prabhu, R.K. Sensors (Basel) Article The purpose of this study was to evaluate the use of compressible soft robotic sensors (C-SRS) in determining plantar pressure to infer vertical and shear forces in wearable technology: A ground reaction pressure sock (GRPS). To assess pressure relationships between C-SRS, pressure cells on a BodiTrak(TM) Vector Plate, and Kistler(TM) Force Plates, thirteen volunteers performed three repetitions of three different movements: squats, shifting center-of-pressure right to left foot, and shifting toes to heels with C-SRS in both anterior–posterior (A/P) and medial–lateral (M/L) sensor orientations. Pearson correlation coefficient of C-SRS to BodiTrak(TM) Vector Plate resulted in an average R-value greater than 0.70 in 618/780 (79%) of sensor to cell comparisons. An average R-value greater than 0.90 was seen in C-SRS comparison to Kistler(TM) Force Plates during shifting right to left. An autoregressive integrated moving average (ARIMA) was conducted to identify and estimate future C-SRS data. No significant differences were seen in sensor orientation. Sensors in the A/P orientation reported a mean R(2) value of 0.952 and 0.945 in the M/L sensor orientation, reducing the effectiveness to infer shear forces. Given the high R values, the use of C-SRSs to infer normal pressures appears to make the development of the GRPS feasible. MDPI 2019-12-30 /pmc/articles/PMC6982705/ /pubmed/31905941 http://dx.doi.org/10.3390/s20010208 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 Luczak, Tony Burch V, Reuben F. Smith, Brian K. Carruth, Daniel W. Lamberth, John Chander, Harish Knight, Adam Ball, J.E. Prabhu, R.K. Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title | Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title_full | Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title_fullStr | Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title_full_unstemmed | Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title_short | Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors |
title_sort | closing the wearable gap—part v: development of a pressure-sensitive sock utilizing soft sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982705/ https://www.ncbi.nlm.nih.gov/pubmed/31905941 http://dx.doi.org/10.3390/s20010208 |
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