Step Prediction During Perturbed Standing Using Center Of Pressure Measurements

The development of a sensor that can measure balance during quiet standing and predict stepping response in the event of perturbation has many clinically relevant applica- tions, including closed-loop control of a neuroprothesis for standing. This study investigated the feasibility of an algorithm t...

Full description

Bibliographic Details
Main Authors: Milos R. Popovic, Kei Masani, Xavier Tortolero
Format: Article
Language:English
Published: MDPI AG 2007-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/7/4/459/
id doaj-0c0a130ee9d444898864cc18baa79d17
record_format Article
spelling doaj-0c0a130ee9d444898864cc18baa79d172020-11-25T01:32:30ZengMDPI AGSensors1424-82202007-04-017445947210.3390/s7040459Step Prediction During Perturbed Standing Using Center Of Pressure MeasurementsMilos R. PopovicKei MasaniXavier TortoleroThe development of a sensor that can measure balance during quiet standing and predict stepping response in the event of perturbation has many clinically relevant applica- tions, including closed-loop control of a neuroprothesis for standing. This study investigated the feasibility of an algorithm that can predict in real-time when an able-bodied individual who is quietly standing will have to make a step to compensate for an external perturbation. Anterior and posterior perturbations were performed on 16 able-bodied subjects using a pul- ley system with a dropped weight. A linear relationship was found between the peak center of pressure (COP) velocity and the peak COP displacement caused by the perturbation. This result suggests that one can predict when a person will have to make a step based on COP velocity measurements alone. Another important feature of this finding is that the peak COP velocity occurs considerably before the peak COP displacement. As a result, one can predict if a subject will have to make a step in response to a perturbation sufficiently ahead of the time when the subject is actually forced to make the step. The proposed instability detection algorithm will be implemented in a sensor system using insole sheets in shoes with minitur- ized pressure sensors by which the COPv can be continuously measured. The sensor system will be integrated in a closed-loop feedback system with a neuroprosthesis for standing in the near future.http://www.mdpi.com/1424-8220/7/4/459/PostureBalance ControlCenter of PressureNeuroprosthesisFunctional Elec- trical StimulationFunctional Neuromuscular Stimulation
collection DOAJ
language English
format Article
sources DOAJ
author Milos R. Popovic
Kei Masani
Xavier Tortolero
spellingShingle Milos R. Popovic
Kei Masani
Xavier Tortolero
Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
Sensors
Posture
Balance Control
Center of Pressure
Neuroprosthesis
Functional Elec- trical Stimulation
Functional Neuromuscular Stimulation
author_facet Milos R. Popovic
Kei Masani
Xavier Tortolero
author_sort Milos R. Popovic
title Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
title_short Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
title_full Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
title_fullStr Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
title_full_unstemmed Step Prediction During Perturbed Standing Using Center Of Pressure Measurements
title_sort step prediction during perturbed standing using center of pressure measurements
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2007-04-01
description The development of a sensor that can measure balance during quiet standing and predict stepping response in the event of perturbation has many clinically relevant applica- tions, including closed-loop control of a neuroprothesis for standing. This study investigated the feasibility of an algorithm that can predict in real-time when an able-bodied individual who is quietly standing will have to make a step to compensate for an external perturbation. Anterior and posterior perturbations were performed on 16 able-bodied subjects using a pul- ley system with a dropped weight. A linear relationship was found between the peak center of pressure (COP) velocity and the peak COP displacement caused by the perturbation. This result suggests that one can predict when a person will have to make a step based on COP velocity measurements alone. Another important feature of this finding is that the peak COP velocity occurs considerably before the peak COP displacement. As a result, one can predict if a subject will have to make a step in response to a perturbation sufficiently ahead of the time when the subject is actually forced to make the step. The proposed instability detection algorithm will be implemented in a sensor system using insole sheets in shoes with minitur- ized pressure sensors by which the COPv can be continuously measured. The sensor system will be integrated in a closed-loop feedback system with a neuroprosthesis for standing in the near future.
topic Posture
Balance Control
Center of Pressure
Neuroprosthesis
Functional Elec- trical Stimulation
Functional Neuromuscular Stimulation
url http://www.mdpi.com/1424-8220/7/4/459/
work_keys_str_mv AT milosrpopovic steppredictionduringperturbedstandingusingcenterofpressuremeasurements
AT keimasani steppredictionduringperturbedstandingusingcenterofpressuremeasurements
AT xaviertortolero steppredictionduringperturbedstandingusingcenterofpressuremeasurements
_version_ 1725081669595037696