Robust movement segmentation by combining multiple sources of information

Schot, Willemijn D.; Brenner, Eli; Smeets, Jeroen B. J.

doi:10.1016/j.jneumeth.2010.01.004

Cited by 82 publications

(69 citation statements)

References 21 publications

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“…The onset and termination of the dependent variables in the fundamental tasks were determined with the method of Schot et al that was implemented in customwritten MATLAB programs (MathWorks; Natick, Massachusetts) ( Table 2) [19]. First, position and velocity for the markers of the hand, thumb, finger, and objects were computed.…”

Section: Discussionmentioning

confidence: 99%

Determining skill level in myoelectric prosthesis use with multiple outcome measures

Bouwsema

Kyberd

Hill

et al. 2012

JRRD

107

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Abstract-To obtain more insight into how the skill level of an upper-limb myoelectric prosthesis user is composed, the current study aimed to (1) portray prosthetic handling at different levels of description, (2) relate results of the clinical level to kinematic measures, and (3) identify specific parameters in these measures that characterize the skill level of a prosthesis user. Six experienced transradial myoelectric prosthesis users performed a clinical test (Southampton Hand Assessment Procedure [SHAP]) and two grasping tasks. Kinematic measures were end point kinematics, joint angles, grasp force control, and gaze behavior. The results of the clinical and kinematic measures were in broad agreement with each other. Participants who scored higher on the SHAP showed overall better performance on the kinematic measures. They had smaller movement times, had better grip force control, and needed less visual attention on the hand. The results showed that time was a key parameter in prosthesis use and should be one of the main focus aspects of rehabilitation. The insights from this study are useful in rehabilitation practice because they allow therapists to specifically focus on certain parameters that may result in a higher level of skill for the prosthesis user.

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Section: Discussionmentioning

confidence: 99%

Determining skill level in myoelectric prosthesis use with multiple outcome measures

Bouwsema

Kyberd

Hill

et al. 2012

JRRD

107

View full text Add to dashboard Cite

show abstract

“…The FGA and the MGA were defined as the Euclidean distance between the fingertips at the end of the grasping movement and the maximum Euclidean distance between the fingertips, respectively. We defined the end of the grasping movement on the basis of the multiple sources of information method (see Schot et al 2010). The parameters used were the velocities of the index finger, thumb, and wrist, the distance from the starting position, and the velocity and acceleration of the change in grip aperture.…”

Section: Methodsmentioning

confidence: 99%

Effect of visual and haptic feedback on grasping movements

Bozzacchi

Volcic

Domini

2014

Journal of Neurophysiology

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“…The dorsolateral circuit includes the anterior intraparietal sulcus (aIPS) and the ventral premotor cortex (PMv); the dorsomedial circuit connects the superior parieto-occipital sulcus (sPOS) and the dorsal premotor cortex (PMd). These two circuits have been suggested to control either different motoric functions in parallel (Jeannerod et al, 1995;Culham et al, 2006;Vesia and Crawford, 2012) (e.g., reaching and grasping components), or different temporal phases of an action, serially (Pisella et al, 2000;Rizzolatti and Matelli, 2003;Glover, 2004) (e.g., planning and on-line control). Here, we test the hypothesis that these two circuits support the same functional components of grasping, in parallel, but with serial temporal dependencies, which is indicative of a hierarchical organization.…”

Section: Introductionmentioning

confidence: 99%

“…First, the two circuits, which are monosynaptically connected (Borra et al, 2008;Gamberini et al, 2009;Gerbella et al, 2011;Gharbawie et al, 2011), show functional overlap in the processing of intrinsic object features, such as size and shape, to plan a grasping movement (Murata et al, 2000;. Second, there is evidence that the operations of the two circuits have different temporal profiles (Tunik et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…In this study, functional and temporal dependencies between dorsolateral and dorsomedial processes were assessed by perturbing neural processing in either aIPS or sPOS with single-pulse TMS during grasp preparation. The consequences of those TMS perturbations were quantified behaviorally with movement analyses, and cerebrally by tracking changes in alpha-band and beta-band oscillatory power, well known indices of increased computational load (Neuper et al, 2006;Jensen and Mazaheri, 2010). The sensitive measurements provided by the integration of these techniques indicate that both parietofrontal circuits support the same functional components of grasping, in parallel, with the dorsomedial circuit serially dependent on a preliminary motor plan structured by the dorsolateral circuit.…”

Section: Introductionmentioning

confidence: 99%

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Hierarchical Organization of Parietofrontal Circuits during Goal-Directed Action

et al. 2013

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Two parietofrontal networks share the control of goal-directed movements: a dorsomedial circuit that includes the superior parietooccipital sulcus (sPOS) and a dorsolateral circuit comprising the anterior intraparietal sulcus (aIPS). These circuits are thought to independently control either reach and grip components (a functional dissociation), or planning and execution phases of grasping movements (a temporal dissociation). However, recent evidence of functional and temporal overlap between these circuits has undermined those models.Here, we test an alternative model that subsumes previous accounts: the dorsolateral and dorsomedial circuits operate at different hierarchical levels, resulting in functional and temporal dependencies between their computations. We asked human participants to grasp a visually presented object, manipulating movement complexity by varying object slant. We used concurrent single-pulse transcranial magnetic stimulation and electroencephalography (TMS-EEG) to probe and record neurophysiological activity in the two circuits. Changes in alpha-band oscillations (8 -12 Hz) characterized the effects of task manipulations and TMS interferences over aIPS and sPOS.Increasing the complexity of the grasping movement was accompanied by alpha-suppression over dorsomedial parietofrontal regions, including sPOS, during both planning and execution stages. TMS interference over either aIPS or sPOS disrupted this index of dorsomedial computations; early when aIPS was perturbed, later when sPOS was perturbed, indicating that the dorsomedial circuit is temporally dependent on aIPS. TMS over sPOS enhanced alpha-suppression in inferior parietal cortex, indicating that the dorsolateral circuit can compensate for a transient sPOS perturbation. These findings suggest that both circuits specify the same grasping parameters, with dorsomedial computations depending on dorsolateral contributions.

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Robust movement segmentation by combining multiple sources of information

Cited by 82 publications

References 21 publications

Determining skill level in myoelectric prosthesis use with multiple outcome measures

Determining skill level in myoelectric prosthesis use with multiple outcome measures

Effect of visual and haptic feedback on grasping movements

Hierarchical Organization of Parietofrontal Circuits during Goal-Directed Action

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