Rate control and quality assurance during rhythmic force tracking

Huang, Chien-Chang; Su, Jyong Huei; Hwang, Ing Shiou

doi:10.1016/j.bbr.2013.11.019

Cited by 5 publications

(1 citation statement)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The control of continuous cyclic force-tracking can be modeled as a continuum from feedback to feedforward (Pew, 1974; Miall et al, 1986; Huang et al, 2014; Inoue and Sakaguchi, 2014), in light of the phase lead or lag of the tracking response relative to the target signal. Slow feedback-based force-tracking exhibits more intermittencies than fast force-tracking predominated by the feedforward process, due to the more frequent corrective attempts based on greater utilization of spatial information from the visual feedback (Roitman et al, 2004; Pasalar et al, 2005; Selen et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Paradigm Shifts in Voluntary Force Control and Motor Unit Behaviors with the Manipulated Size of Visual Error Perception

et al. 2017

Self Cite

View full text Add to dashboard Cite

The detection of error information is an essential prerequisite of a feedback-based movement. This study investigated the differential behavior and neurophysiological mechanisms of a cyclic force-tracking task using error-reducing and error-enhancing feedback. The discharge patterns of a relatively large number of motor units (MUs) were assessed with custom-designed multi-channel surface electromyography following mathematical decomposition of the experimentally-measured signals. Force characteristics, force-discharge relation, and phase-locking cortical activities in the contralateral motor cortex to individual MUs were contrasted among the low (LSF), normal (NSF), and high scaling factor (HSF) conditions, in which the sizes of online execution errors were displayed with various amplification ratios. Along with a spectral shift of the force output toward a lower band, force output with a more phase-lead became less irregular, and tracking accuracy was worse in the LSF condition than in the HSF condition. The coherent discharge of high phasic (HP) MUs with the target signal was greater, and inter-spike intervals were larger, in the LSF condition than in the HSF condition. Force-tracking in the LSF condition manifested with stronger phase-locked EEG activity in the contralateral motor cortex to discharge of the (HP) MUs (LSF > NSF, HSF). The coherent discharge of the (HP) MUs during the cyclic force-tracking predominated the force-discharge relation, which increased inversely to the error scaling factor. In conclusion, the size of visualized error gates motor unit discharge, force-discharge relation, and the relative influences of the feedback and feedforward processes on force control. A smaller visualized error size favors voluntary force control using a feedforward process, in relation to a selective central modulation that enhance the coherent discharge of (HP) MUs.

show abstract

Section: Discussionmentioning

confidence: 99%

Paradigm Shifts in Voluntary Force Control and Motor Unit Behaviors with the Manipulated Size of Visual Error Perception

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

Perceptual influences of error size on voluntary force control during a compound sinusoidal force task

Chen

Lin

Chang

et al. 2017

Human Movement Science

View full text Add to dashboard Cite

Predicting hand forces from scalp electroencephalography during isometric force production and object grasping

Paek

Gailey

Parikh

et al. 2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

View full text Add to dashboard Cite

In this study, we demonstrate the feasibility of predicting hand forces from brain activity recorded with scalp electroencephalography (EEG). Ten able-bodied subjects participated in two tasks: an isometric force production task and a grasp-and-lift task using unconstrained and constrained grasps. We found that EEG electrodes spanning central areas of the scalp were highly correlated to force rate trajectories. Moreover, EEG grand averages in central sites resembled force rate trajectories as opposed to force trajectories. The grasp-and-lift task resulted in higher decoding accuracies than the isometric force production task: across nine subjects, median accuracies for the isometric force production task were r=0.35 whereas median accuracies for unconstrained grasping were r=0.51 and for constrained grasping were r=0.50. Such results could lead to an understanding of the neural representation behind the control of hand forces and could be implemented in the neural control of closed-loop hand-based neuroprostheses.

show abstract

Rate control and quality assurance during rhythmic force tracking

Cited by 5 publications

References 56 publications

Paradigm Shifts in Voluntary Force Control and Motor Unit Behaviors with the Manipulated Size of Visual Error Perception

Paradigm Shifts in Voluntary Force Control and Motor Unit Behaviors with the Manipulated Size of Visual Error Perception

Perceptual influences of error size on voluntary force control during a compound sinusoidal force task

Predicting hand forces from scalp electroencephalography during isometric force production and object grasping

Contact Info

Product

Resources

About