2019
DOI: 10.1038/s41598-019-51131-x
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Finger Posture and Finger Load are Perceived Independently

Abstract: The ability to track the time-varying postures of our hands and the forces they exert plays a key role in our ability to dexterously interact with objects. However, how precisely and accurately we sense hand kinematics and kinetics has not been completely characterized. Furthermore, the dominant source of information about hand postures stems from muscle spindles, whose responses can also signal isometric force and are modulated by fusimotor input. As such, one might expect that changing the state of the muscl… Show more

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Cited by 9 publications
(7 citation statements)
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References 48 publications
(65 reference statements)
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“…For force and angle, participants produce each level with equal precision, indicated by similar credibility interval (CI) widths. Prior research find a lower precision for index finger velocity than for angle (Long et al, 2022;Tan et al, 2007) and force (Prendergast et al, 2019), which is supported by our results that show a more uneven distribution of measures of velocity compared to force and angle. In the velocity task, precision decreases with higher velocity, indicated by wider CI for level 7 than for level 3 and 5.…”
Section: Behaviorsupporting
confidence: 90%
“…For force and angle, participants produce each level with equal precision, indicated by similar credibility interval (CI) widths. Prior research find a lower precision for index finger velocity than for angle (Long et al, 2022;Tan et al, 2007) and force (Prendergast et al, 2019), which is supported by our results that show a more uneven distribution of measures of velocity compared to force and angle. In the velocity task, precision decreases with higher velocity, indicated by wider CI for level 7 than for level 3 and 5.…”
Section: Behaviorsupporting
confidence: 90%
“…A critical component of the software is the finger force perception algorithm, which analyzes sensor data to infer the force exerted by patients during rehabilitation exercises. Leveraging signal processing techniques and machine learning algorithms, the perception algorithm accurately quantifies finger force levels, providing clinicians with valuable insights into patient progress and performance [19]. By integrating real-time force feedback into the training regimen, the software enhances the effectiveness and safety of rehabilitation exercises, ensuring optimal outcomes for stroke patients.…”
Section: Finger Force Perception Algorithmmentioning
confidence: 99%
“…In both situations, the vibration disrupts the natural stimulation of the Ia afferents, resulting in inaccurate perception of the posture of the stimulated effector [53]. Muscle spindle afferents also monitor applied load (force against the limb) [56]. Unlike in the elbow joint, where applied load and muscle stretch interact to produce a proprioceptive percept of limb position, these inputs are processed independently in the fingers [56].…”
Section: Precision Grip Testingmentioning
confidence: 99%
“…Muscle spindle afferents also monitor applied load (force against the limb) [56]. Unlike in the elbow joint, where applied load and muscle stretch interact to produce a proprioceptive percept of limb position, these inputs are processed independently in the fingers [56]. Therefore, vibration of the finger flexors may affect perception of finger posture, force against the fingers, or both, so the effects may not be specific to proprioception as it is in studies of other joints.…”
Section: Precision Grip Testingmentioning
confidence: 99%