Identification of the unstable human postural control system
Maintaining upright bipedal posture requires a control system that continually adapts to changing environmental conditions, such as different support surfaces. Behavioral changes associated with different support surfaces, such as the predominance of an ankle or hip strategy, is considered to reflec...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-03-01
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| Series: | Frontiers in Systems Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnsys.2016.00022/full |
| _version_ | 1811262694123110400 |
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| author | Sungjae eHwang Peter eAgada Tim eKiemel John J Jeka John J Jeka |
| author_facet | Sungjae eHwang Peter eAgada Tim eKiemel John J Jeka John J Jeka |
| author_sort | Sungjae eHwang |
| collection | DOAJ |
| description | Maintaining upright bipedal posture requires a control system that continually adapts to changing environmental conditions, such as different support surfaces. Behavioral changes associated with different support surfaces, such as the predominance of an ankle or hip strategy, is considered to reflect a change in the control strategy. However, tracing such behavioral changes to a specific component in a closed loop control system is challenging. Here we used the joint input-output (JIO) method of closed-loop system identification to identify the musculoskeletal and neural feedback components of the human postural control loop. The goal was to establish changes in the control loop corresponding to behavioral changes observed on different support surfaces. Subjects were simultaneously perturbed by two independent mechanical and two independent sensory perturbations while standing on a normal or short support surface. The results show a dramatic phase reversal between visual input and body kinematics due to the change in surface condition from trunk leads legs to legs lead trunk with increasing frequency of the visual perturbation. Through decomposition of the control loop, we found that behavioral change is not necessarily due to a change in control strategy, but in the case of different support surfaces, is linked to changes in properties of the plant. The JIO method is an important tool to identify the contribution of specific components within a closed loop control system to overall postural behavior and may be useful to devise better treatment of balance disorders. |
| first_indexed | 2024-04-12T19:31:16Z |
| format | Article |
| id | doaj.art-e6679e4078814c979c0b1d70f369c440 |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-04-12T19:31:16Z |
| publishDate | 2016-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-e6679e4078814c979c0b1d70f369c4402022-12-22T03:19:21ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372016-03-011010.3389/fnsys.2016.00022168654Identification of the unstable human postural control systemSungjae eHwang0Peter eAgada1Tim eKiemel2John J Jeka3John J Jeka4Temple UniversityTemple UniversityUniversity of MarylandTemple UniversityTemple UniversityMaintaining upright bipedal posture requires a control system that continually adapts to changing environmental conditions, such as different support surfaces. Behavioral changes associated with different support surfaces, such as the predominance of an ankle or hip strategy, is considered to reflect a change in the control strategy. However, tracing such behavioral changes to a specific component in a closed loop control system is challenging. Here we used the joint input-output (JIO) method of closed-loop system identification to identify the musculoskeletal and neural feedback components of the human postural control loop. The goal was to establish changes in the control loop corresponding to behavioral changes observed on different support surfaces. Subjects were simultaneously perturbed by two independent mechanical and two independent sensory perturbations while standing on a normal or short support surface. The results show a dramatic phase reversal between visual input and body kinematics due to the change in surface condition from trunk leads legs to legs lead trunk with increasing frequency of the visual perturbation. Through decomposition of the control loop, we found that behavioral change is not necessarily due to a change in control strategy, but in the case of different support surfaces, is linked to changes in properties of the plant. The JIO method is an important tool to identify the contribution of specific components within a closed loop control system to overall postural behavior and may be useful to devise better treatment of balance disorders.http://journal.frontiersin.org/Journal/10.3389/fnsys.2016.00022/fullFeedbackplantsystem identificationposture controlSensory reweightingDirect effect |
| spellingShingle | Sungjae eHwang Peter eAgada Tim eKiemel John J Jeka John J Jeka Identification of the unstable human postural control system Frontiers in Systems Neuroscience Feedback plant system identification posture control Sensory reweighting Direct effect |
| title | Identification of the unstable human postural control system |
| title_full | Identification of the unstable human postural control system |
| title_fullStr | Identification of the unstable human postural control system |
| title_full_unstemmed | Identification of the unstable human postural control system |
| title_short | Identification of the unstable human postural control system |
| title_sort | identification of the unstable human postural control system |
| topic | Feedback plant system identification posture control Sensory reweighting Direct effect |
| url | http://journal.frontiersin.org/Journal/10.3389/fnsys.2016.00022/full |
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