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...
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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 |
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