Precision grip responses to unexpected rotational perturbations scale with axis of rotation

Gregorio, Michael De; Santos, Veronica J.

doi:10.1016/j.jbiomech.2013.01.017

Cited by 8 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is noteworthy that the differences in RQA and CRQA parameters between the UL and SL were observed in patients with DM rather than in the controls, suggesting that the patients with DM had lower adaptability to the uncertainty of environment than the healthy individuals. Specifically, as grasping and interacting with the object with UL, the digits need to produce suitable forces to the changing center of gravity of the apparatus, thereby demanding higher level of online regulation than grasping an object with SL 51 , 52 . The higher RQA and CRQA values in DM with UL indicate a more regular organization of motor potentials in FDI and a stronger intermuscular coupling between APB and FDI than with SL.…”

Section: Discussionmentioning

confidence: 99%

Dynamical Coordination of Hand Intrinsic Muscles for Precision Grip in Diabetes Mellitus

Wei

Cheng

et al. 2018

Sci Rep

View full text Add to dashboard Cite

This study investigated the effects of diabetes mellitus (DM) on dynamical coordination of hand intrinsic muscles during precision grip. Precision grip was tested using a custom designed apparatus with stable and unstable loads, during which the surface electromyographic (sEMG) signals of the abductor pollicis brevis (APB) and first dorsal interosseous (FDI) were recorded simultaneously. Recurrence quantification analysis (RQA) was applied to quantify the dynamical structure of sEMG signals of the APB and FDI; and cross recurrence quantification analysis (CRQA) was used to assess the intermuscular coupling between the two intrinsic muscles. This study revealed that the DM altered the dynamical structure of muscle activation for the FDI and the dynamical intermuscular coordination between the APB and FDI during precision grip. A reinforced feedforward mechanism that compensates the loss of sensory feedbacks in DM may be responsible for the stronger intermuscular coupling between the APB and FDI muscles. Sensory deficits in DM remarkably decreased the capacity of online motor adjustment based on sensory feedback, rendering a lower adaptability to the uncertainty of environment. This study shed light on inherent dynamical properties underlying the intrinsic muscle activation and intermuscular coordination for precision grip and the effects of DM on hand sensorimotor function.Diabetes mellitus (DM) is a metabolic disorder characterized by chronic high blood glucose levels. A primary complication of DM is diabetic peripheral neuropathy (DPN), which has a prevalence from 30% to 50% of the patients with DM 1 . Conventional standpoint suggested that the symptoms of DPN mostly manifest on the lower limbs 2,3 , while a growing number of studies highlighted the effects of DPN on the upper-limbs 1,4 . Approximately 58% to 82% and 37% to 69% of patients with DM suffer from subclinical neuropathy on their median nerves and ulnar nerves, respectively, exhibiting confined digit range of motion, reduced grip and pinch strength, decreased tactile sensitivity or slower nerve conduction velocity [5][6][7][8][9] .Quantitative evaluation of the hand sensorimotor function provides a useful tool for clinical diagnosis of DPN 10 . Accumulating evidence suggests that the effects of DM on hand sensorimotor function could be observed from precision grip -a fundamental grasping manner with opposable thumb and index finger. For example, the patients with DM showed reduced force structural complexity (lower approximate entropy values) than healthy subjects when producing grip force upon a spatially fixed apparatus within 15-50% maximum voluntary contraction (MVC) 11 . Compared to the healthy subjects, the DM patients showed higher force ratio in execution of grip-to-lift task; and the force ratio could serve as indicator to DPN whose sensitivity was 85% and specificity was 51% 10 . The debilitated grip force in DM is associated with reduced tactile sensitivity, blurred afferent inputs and reduced efferent conductivity [10][11][12][13] , and i...

show abstract

Section: Discussionmentioning

confidence: 99%

Dynamical Coordination of Hand Intrinsic Muscles for Precision Grip in Diabetes Mellitus

Wei

Cheng

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Finally, prior work on rotational motion of an object in a precision grasp showed that users responded more quickly to rotations in “dangerous” directions in which the object was less secure [22]. The palm and wrist directions prevent more of the handle’s motion, making them safer directions than toward the fingers.…”

Section: Discussionmentioning

confidence: 99%

Haptic orientation guidance using two parallel double-gimbal control moment gyroscopes

Walker

Culbertson

Raitor

et al. 2018

IEEE Trans. Haptics

View full text Add to dashboard Cite

This paper presents a system of two double-gimbal control moment gyroscopes (CMGs) for providing ungrounded kinesthetic haptic feedback. By spinning a second flywheel opposite the first, and rotating them through opposite trajectories, undesired gyroscopic effects can be eliminated, isolating a single torque axis. This produces a moment pulse proportional to the flywheel spin speed and rotation speed. Rotating the CMG gimbals quickly in one direction, then resetting them more slowly generates repeated torque pulses indicating a clear direction cue. We present the mathematical model for moments produced by this system and verify that the performance of our device matches this model. Using these asymmetric moment pulses, we provide haptic cues to participants in two studies. In the first study, users simply identify the direction of torque cues. In the second study, we use the torque pulses to guide users to target orientations. Performance in both studies shows that this system has the potential to provide useful guidance for applications where ungrounded haptic feedback is desired.

show abstract

“…amount of liquid: empty, half-full, and full) were manipulated. To determine whether catch-up responses are elicited by unexpected rotational perturbation and are strength-, axis-, and/or direction-dependent [13] imposed step torque loads about each of two axes which were defined to the subject's hand in order to study the precision grip responses.…”

Section: Introductionmentioning

confidence: 99%

Virtual Human Hand: Grasps and Fingertip Deformation

Pitarch

Padilla-Magaña

Tico-Falguera

et al. 2019

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

The objective of this paper is to simulate the human hand when grasping an object, considering the angles of the finger joints and the fingertip deformation. To study the grasp of an object used in activities of daily life (ADL) we focus on the equations given by grasps with force-closure. In this paper we address several topics and study grasping holistically, including power and precision grasping, the position of the finger and joint angles, fingertip deformation and fingertip forces (normal and frictional forces), and assess how all these features combine to perform a complete grasping action.Conclusions: We describe the strategy used to solve the problem of calculating the force when grasping with five fingers; the same strategy is used in both power and precision grasps.

show abstract

Precision grip responses to unexpected rotational perturbations scale with axis of rotation

Cited by 8 publications

References 19 publications

Dynamical Coordination of Hand Intrinsic Muscles for Precision Grip in Diabetes Mellitus

Dynamical Coordination of Hand Intrinsic Muscles for Precision Grip in Diabetes Mellitus

Haptic orientation guidance using two parallel double-gimbal control moment gyroscopes

Virtual Human Hand: Grasps and Fingertip Deformation

Contact Info

Product

Resources

About