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A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU

Timely and reliable identification of control phases is functional to the control of a powered robotic lower-limb prosthesis. This study presents a commercial energy-store-and-release foot prosthesis instrumented with a multimodal sensory system comprising optoelectronic pressure sensors (PS) and IM...

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Autores principales: Fiumalbi, Tommaso, Martini, Elena, Papapicco, Vito, Dell’Agnello, Filippo, Mazzarini, Alessandro, Baldoni, Andrea, Gruppioni, Emanuele, Crea, Simona, Vitiello, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914932/
https://www.ncbi.nlm.nih.gov/pubmed/35270877
http://dx.doi.org/10.3390/s22051731
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author Fiumalbi, Tommaso
Martini, Elena
Papapicco, Vito
Dell’Agnello, Filippo
Mazzarini, Alessandro
Baldoni, Andrea
Gruppioni, Emanuele
Crea, Simona
Vitiello, Nicola
author_facet Fiumalbi, Tommaso
Martini, Elena
Papapicco, Vito
Dell’Agnello, Filippo
Mazzarini, Alessandro
Baldoni, Andrea
Gruppioni, Emanuele
Crea, Simona
Vitiello, Nicola
author_sort Fiumalbi, Tommaso
collection PubMed
description Timely and reliable identification of control phases is functional to the control of a powered robotic lower-limb prosthesis. This study presents a commercial energy-store-and-release foot prosthesis instrumented with a multimodal sensory system comprising optoelectronic pressure sensors (PS) and IMU. The performance was verified with eight healthy participants, comparing signals processed by two different algorithms, based on PS and IMU, respectively, for real-time detection of heel strike (HS) and toe-off (TO) events and an estimate of relevant biomechanical variables such as vertical ground reaction force ([Formula: see text]) and center of pressure along the sagittal axis ([Formula: see text]). The performance of both algorithms was benchmarked against a force platform and a marker-based stereophotogrammetric motion capture system. HS and TO were estimated with a time error lower than 0.100 s for both the algorithms, sufficient for the control of a lower-limb robotic prosthesis. Finally, the [Formula: see text] computed from the PS showed a Pearson correlation coefficient of 0.97 (0.02) with the same variable computed through the force platform.
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spelling pubmed-89149322022-03-12 A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU Fiumalbi, Tommaso Martini, Elena Papapicco, Vito Dell’Agnello, Filippo Mazzarini, Alessandro Baldoni, Andrea Gruppioni, Emanuele Crea, Simona Vitiello, Nicola Sensors (Basel) Article Timely and reliable identification of control phases is functional to the control of a powered robotic lower-limb prosthesis. This study presents a commercial energy-store-and-release foot prosthesis instrumented with a multimodal sensory system comprising optoelectronic pressure sensors (PS) and IMU. The performance was verified with eight healthy participants, comparing signals processed by two different algorithms, based on PS and IMU, respectively, for real-time detection of heel strike (HS) and toe-off (TO) events and an estimate of relevant biomechanical variables such as vertical ground reaction force ([Formula: see text]) and center of pressure along the sagittal axis ([Formula: see text]). The performance of both algorithms was benchmarked against a force platform and a marker-based stereophotogrammetric motion capture system. HS and TO were estimated with a time error lower than 0.100 s for both the algorithms, sufficient for the control of a lower-limb robotic prosthesis. Finally, the [Formula: see text] computed from the PS showed a Pearson correlation coefficient of 0.97 (0.02) with the same variable computed through the force platform. MDPI 2022-02-23 /pmc/articles/PMC8914932/ /pubmed/35270877 http://dx.doi.org/10.3390/s22051731 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fiumalbi, Tommaso
Martini, Elena
Papapicco, Vito
Dell’Agnello, Filippo
Mazzarini, Alessandro
Baldoni, Andrea
Gruppioni, Emanuele
Crea, Simona
Vitiello, Nicola
A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title_full A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title_fullStr A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title_full_unstemmed A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title_short A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU
title_sort multimodal sensory apparatus for robotic prosthetic feet combining optoelectronic pressure transducers and imu
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914932/
https://www.ncbi.nlm.nih.gov/pubmed/35270877
http://dx.doi.org/10.3390/s22051731
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