Application of Optimization Methods to Predict Performance of a Vibrotactile Balance Prosthesis

Goodworth, Adam D.; Wall, Conrad; Peterka, Robert J.

doi:10.1109/cne.2007.369721

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…In a separate study, we investigated whether it was possible to predict this pattern of G Tactor changes as a function of the prosthesis feedback conditions [24]. We hypothesized that systematic changes in G Tactor were related to the optimization of a performance goal with G Tactor changes predicted by minimizing a cost function.…”

Section: Discussionmentioning

confidence: 99%

Influence of Feedback Parameters on Performance of a Vibrotactile Balance Prosthesis

Goodworth

Wall

Peterka

2009

IEEE Trans. Neural Syst. Rehabil. Eng.

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We investigated the influence of feedback conditions on the effectiveness of a balance prosthesis. The balance prosthesis used an array of 12 tactile vibrators (tactors) placed on the anterior and posterior surfaces of the torso to provide body orientation feedback related to several different combinations of angular position and velocity of body sway in the sagittal plane. Control tests were performed with no tactor activation. Body sway was evoked in subjects with normal sensory function by rotating the support surface upon which subjects stood with eyes closed. Body sway was analyzed by computing root-mean-square sway measures and by a frequency-response function analysis that characterized the amplitude (gain) and timing (phase) of body sway over a frequency range of 0.017 to 2.2 Hz. Root-mean-square sway measures showed a reduction of surface stimulus evoked body sway for most vibrotactile feedback settings compared to control conditions. However, frequencyresponse function analysis showed that the sway reduction was due primarily to a reduction in sway below about 0.5 Hz, whereas there was actually an enhancement of sway above 0.6 Hz. Finally, we created a postural model that accounted for the experimental results and gave insight into how vibrotactile information was incorporated into the postural control system.

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Section: Discussionmentioning

confidence: 99%

Influence of Feedback Parameters on Performance of a Vibrotactile Balance Prosthesis

Goodworth

Wall

Peterka

2009

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Moreover, the model indicated that reliance on the vibrotactile feedback was highly dependent on the type of information encoded: participants relied upon the vibrotactile feedback more when it encoded body sway angle compared to sway velocity. A related study was able to predict how reliance changed with different combinations of angular position and velocity feedback by assuming participants optimally used augmented feedback to minimize a linear combination of sway angular position and jerk (the third derivative of displacement) ( 90 ).…”

Section: Sensory Augmentation Assessment Using Balance Modelsmentioning

confidence: 99%

Potential Mechanisms of Sensory Augmentation Systems on Human Balance Control

et al. 2018

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Numerous studies have demonstrated the real-time use of visual, vibrotactile, auditory, and multimodal sensory augmentation technologies for reducing postural sway during static tasks and improving balance during dynamic tasks. The mechanism by which sensory augmentation information is processed and used by the CNS is not well understood. The dominant hypothesis, which has not been supported by rigorous experimental evidence, posits that observed reductions in postural sway are due to sensory reweighting: feedback of body motion provides the CNS with a correlate to the inputs from its intact sensory channels (e.g., vision, proprioception), so individuals receiving sensory augmentation learn to increasingly depend on these intact systems. Other possible mechanisms for observed postural sway reductions include: cognition (processing of sensory augmentation information is solely cognitive with no selective adjustment of sensory weights by the CNS), “sixth” sense (CNS interprets sensory augmentation information as a new and distinct sensory channel), context-specific adaptation (new sensorimotor program is developed through repeated interaction with the device and accessible only when the device is used), and combined volitional and non-volitional responses. This critical review summarizes the reported sensory augmentation findings spanning postural control models, clinical rehabilitation, laboratory-based real-time usage, and neuroimaging to critically evaluate each of the aforementioned mechanistic theories. Cognition and sensory re-weighting are identified as two mechanisms supported by the existing literature.

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A combination of inertial sensors and vibrotactile feedback for balance improvements in therapeutic applications

Alahakone

Senanayake

2009

2009 Innovative Technologies in Intelligent Systems and Industrial Applications

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Application of Optimization Methods to Predict Performance of a Vibrotactile Balance Prosthesis

Cited by 5 publications

References 8 publications

Influence of Feedback Parameters on Performance of a Vibrotactile Balance Prosthesis

Influence of Feedback Parameters on Performance of a Vibrotactile Balance Prosthesis

Potential Mechanisms of Sensory Augmentation Systems on Human Balance Control

A combination of inertial sensors and vibrotactile feedback for balance improvements in therapeutic applications

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