Relevant bibliographies by topics / Hand motor control

Academic literature on the topic 'Hand motor control'

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Published: 9 March 2023

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Journal articles on the topic "Hand motor control"

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Werring, D. J. "Improving hand motor control after stroke." Journal of Neurology, Neurosurgery & Psychiatry 80, no. 6 (May 15, 2009): 586. http://dx.doi.org/10.1136/jnnp.2008.165209.

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BURTON, H. "Motor Control of the Hand: Hand Function and the Neocortex." Science 229, no. 4715 (August 23, 1985): 752–53. http://dx.doi.org/10.1126/science.229.4715.752.

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Shibuya, Kenichi, and Naomi Kuboyama. "Bilateral Motor Control during Motor Tasks Involving the Nondominant Hand." Journal of PHYSIOLOGICAL ANTHROPOLOGY 28, no. 4 (2009): 165–71. http://dx.doi.org/10.2114/jpa2.28.165.

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MacWilliams, Jessica, Sneh Patel, Grace Carlock, Sarah Vest, Nancy L. Potter, and Judith L. Fridovich‐Keil. "Hand fine motor control in classic galactosemia." Journal of Inherited Metabolic Disease 44, no. 4 (March 23, 2021): 871–78. http://dx.doi.org/10.1002/jimd.12376.

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Cole, Kelly J. "Hand Motor Control: Maturing an Immature Science." Motor Control 19, no. 2 (April 2015): 131–34. http://dx.doi.org/10.1123/mc.2014-0054.

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In the target article Mark Latash has argued that there is but a single bona-fide theory for hand motor control (referent configuration theory). If this is true, and research is often phenomenological, then we must admit that the science of hand motor control is immature. While describing observations under varying conditions is a crucial (but early) stage of the science of any field, it is also true that the key to maturing any science is to vigorously subject extant theories and budding laws to critical experimentation. If competing theories are absent at the present time is it time for scientists to focus their efforts on maturing the science of hand motor control through critical testing of this long-standing theory (and related collections of knowledge such as the uncontrolled manifold)?
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Cole, Kelly J. "Hand Motor Control: Maturing an Immature Science." Motor Control 19, no. 2 (April 2015): 131–34. http://dx.doi.org/10.1123/mcj.2014-0054.

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Hochberg, Fred H., Stephen U. Harris, and Thomas R. Blattert. "Occupational Hand Cramps: Professional Disorders of Motor Control." Hand Clinics 6, no. 3 (August 1990): 417–28. http://dx.doi.org/10.1016/s0749-0712(21)00884-2.

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Batista, Aaron P., and William T. Newsome. "Visuo-motor control: Giving the brain a hand." Current Biology 10, no. 4 (February 2000): R145—R148. http://dx.doi.org/10.1016/s0960-9822(00)00327-4.

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Lemon, Roger. "L-12 Motor cortex control of hand function." Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control 97, no. 4 (September 1995): S6. http://dx.doi.org/10.1016/0924-980x(95)92440-w.

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Lindner, Axel. "Motor Control: Parietal Stimulation Prevents Voluntary Hand Movement." Current Biology 28, no. 20 (October 2018): R1200—R1202. http://dx.doi.org/10.1016/j.cub.2018.09.001.

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Dissertations / Theses on the topic "Hand motor control"

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Smith, Rebekah Gayle. "Muscle pain does not affect motor control of the human hand /." Title page and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09SB/09sbs6421.pdf.

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DOTTOR, ALBERTO. "MOTOR CONTROL OF THUMB-INDEX SYSTEM IN HEALTHY POPULATION." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1057767.

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Thumb and Index fingers are involved in many daily tasks, it is understandable how injuries, musculoskeletal, rheumatologic, and neurological diseases could affect hand function causing severe disability. The evaluation of motor control deficits of the thumb-index system is necessary to identify impairments and to propose specific therapeutic or surgical proposes. Pinch maximal voluntary contraction is the most investigated parameter, it is a valid estimator of general hand function. However, thumb and index are rarely involved at their maximal contraction, usually they are used in precision pinches at low submaximal forces exerted for a short-to-long time. For this reason other parameters must be investigated. In this dissertation, a multiparametric evaluation of thumb-index system was proposed. The battery of tests consisted of the maximal voluntary contraction (MVC) of pinch grip (TP, tip pinch and PP, palmar pinch) and of the opposite movement (E, extension of thumb and index), the endurance (SC, sustained contraction), the accuracy and precision of pinch force in a pinch and release task (DC, dynamic contraction) and the force coordination between hands in a bimanual simultaneous task (BSC, bimanual strength coordination). The tasks were measured with a measurement system consisted of two pinch gauges, connected to a PC, the visual feedback was displayed on a monitor through the graphical user interface of an ad-hoc developed software. To be usable in the clinical context, it is important to check the reliability of the tasks and collecting data in healthy samples permits on the one hand to analyse how values changes as function of anthropometric variables, hand dominance, dexterity, and on the other hand to define the reference values to compare pathological populations. Therefore this dissertation was conducted through test-retest reliability studies and cross-sectional studies to establish normative data of PP, TP, E MVCs, SC, DC and BSC in the Italian population. All the tasks proved reliable and consistent, MVC and SC showed high reliability, DC and BSC reliability was lower but clinically suitable. Strength, analysed through PP, TP, E MVCs, declined in line with the normal process of aging that also entails muscle fibers and the reduction of daily activities in older adults. In relative terms, E-MVC showed the highest strength loss in the over 75y. SC showed similar values in all age groups, variables of DC and BSC showed instead large effect related to age-decline. Women performed better than men only in SC, in MVC, DC and BSC men excelled. A hand dominance effect emerged only in TP and PP MVC. Correlations between tasks were very low to low, suggesting that different constructs were measured by the tasks. This Ph.D. project proposed novel tasks to evaluate pinch motor control which were showed reliable in healthy people and their normative data were obtained, representing a useful aid in the clinical field. The results become a starting point for future studies to highlight impairments of the thumb-index system in different neurological and musculoskeletal disorders and to guide the rehabilitation and the therapeutic intervention.
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McIsaac, Tara. "Neural Mechanisms Underlying Muscle Synergies Involved in the Control of the Human Hand." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194019.

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The dexterity of the human hand depends largely on the ability to move the fingers independently, the execution of which requires the coordination of multiple muscles. How these muscle ensembles are recruited by the central nervous system is not clear. Therefore, the objective of this dissertation was to identify some of the neural mechanisms whereby certain hand muscles are recruited into functional groups, or muscle synergies, needed for the generation of specific hand and finger movements.We characterized the organization of synaptic inputs onto the motor neurons supplying different compartments of a multi-tendoned finger flexor, the flexor digitorum superficialis (FDS). We found that the motor neurons controlling different finger compartments of the FDS do not receive entirely segregated inputs, and that the motor neurons supplying adjacent compartments receive substantially more common synaptic input than motor neurons supplying compartments further apart. The FDS and another multi-tendoned finger flexor, the flexor digitorum profundus (FDP), both insert onto each finger and function together to flex the fingers. Surprisingly, we found that the motor neurons controlling the compartments of FDS and FDP to the same finger receive completely independent inputs, despite similar mechanical functions of the two muscles. Thus, there is more neural coupling between motor neurons supplying compartments of the same muscle that move different fingers than there is between motor neurons supplying the compartments of two different muscles that move the same finger.Although the motor neurons supplying the flexors of the tips of the thumb [flexor pollicis longus (FPL)] and index finger [index compartment of the flexor digitorum profundus (FDP2)] receive substantial shared synaptic input during a precision grip task, the removal of the normal tactile feedback from the digit pads did not change the amount of common input to the two motor neuron pools, indicating these last-order divergent neurons do not require tactile afferent inputs for activation. Finally, in contrast to the substantial shared input to motor neurons supplying these two extrinsic muscles (FPL and FDP2), the motor neurons supplying two intrinsic muscles of the thumb [adductor pollicis (AdP)] and index finger [first dorsal interosseous (FDI)] were shown to receive few shared inputs during precision grip.
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Romero, Veronica C. "Is Joint Action Synergistic?A Study of the Stabilization of Interpersonal Hand Coordination." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821563.

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Thaler, Lore. "A Representation Based Approach To Visually Guided Motor Behavior." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211929634.

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VIGANO', LUCA. "DIRECT ELECTRICAL STIMULATION OF PRIMARY MOTOR AND FRONTAL PREMOTOR REGIONS: MAPPING AND PRESERVING NETWORKS FOR HAND MOTOR CONTROL DURING BRAIN TUMOUR RESECTION." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/707523.

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This PhD project was funded by EDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery in 2020). Brain disease represent a cost about 800 billion euros per year in Europe and outcome of treatment is demonstrated to critically depend on the knowledge of functional anatomy and its preservation. By combining pre-operative MRI and diffusion-MRI imaging, intra-operative ultrasounds, robotic assisted catheter steering, brain diffusion modelling and a robotics assisted neurosurgical robot (the Neuromate), EDEN2020 aims at realizing an integrated technology platform for minimally invasive neurosurgery which will provide a significative step change in treatment of brain disease. To date, neurosurgical instruments for diagnostic and therapy (drugs infusion) are inserted via rigid cannulas. This represents a primary technological limitation of treatment with direct consequences in patient’s post-operative outcome, since the insertion of rigid cannulas cannot be planned along procedure-optimised trajectories which take into account tissue microstructures and respect the bundles’ topographical anatomo-functional organisation. To bridge this gap, main aim of EDEN2020 is to engineer a steerable catheter for chronic neuro-oncological disease than can be robotically guided and kept in situ for extended period, which insertion can be tailored on clinical conditions and individual anatomy. The correct trajectory and final positioning of a catheter must be planned and guided through the brain structures by the knowledge of the anatomo-functional organization of the neural circuits subserving the essential motor and cognitive functions to avoid lesions resulting in permanent deficits impacting on the quality of life of patients. In addition, since the diffusivity is enhanced when it follows the white matter pathways belongings to the network in which an individual tumour has grown, as showed by data generated by EDEN consortium, these circuits became the target of the drug. In EDEN animal trials (ovine model), the circuit targeted for delivery was the corticospinal tract, due to the anatomical restriction imposed by the sheep brain. In humans, this descending system, which is essential for everyday life activities allowing the skilled use of the hand (i.e. the ability to manipulate objects and tools), has a much higher level of complexity and its functional organisation has not yet been described in detail as in other animal models. The complexity of the neural organization underlying motor control of hand gestures in humans results in a dramatic degree of freedom, but at the same time in a poor ability to recover after lesions. When this connectivity is infiltrated by a tumour and thus became the possible target of drug delivery devices (EDEN), its complexity must be taken into consideration to avoid the onset of deficits. The great majority of brain tumours occurs in the frontal lobe and, particularly Low Grade Gliomas (LGGs), develop close or within the cortical but mostly subcortical structures involved in motor control. Therefore, to track safely the entrance and the trajectory of catheters, a reference atlas of the neural circuitry controlling hand movement is mandatory to identify which cortical and subcortical areas must not be lesioned to avoid permanent inability. Based on this premises, this PhD project investigated, with a multidisciplinary approach, the frontal networks subserving hand function to provide a frame for understanding the connectivity involved in hand skilled movements, which became a possible target for drug delivery in tumours developing in primary motor and/or pre-motor regions. The skilled use of the hand is allowed by the high level of human sensorimotor control implemented by the corticospinal system, particularly developed in primates, connecting distant and functionally different areas via subcortical bundles and finally acting on the spinal cord with a huge bundle of descending fibres. This complex network computes the sensory information related to the goal of the action to shape the appropriate motor command for motoneurons, the final common path to muscles. Non-human primate studies have demonstrated that the main motor output of the corticospinal tract is the primary motor cortex (M1), which act on the spinal motoneurons, in producing voluntary hand and finger movements. The monkey M1 has recently been demonstrated to represent an anatomo-functional non-unitary sector, subdivided in a caudal region dense with cortico-motoneuronal cells and a rostral sector with few monosynaptic connections to alpha-motoneurons and/or with slower projections to the spinal cord. To control and execute skilled hand movements, M1 is highly interconnected with other frontal and parietal cortical pre-motor regions, with subcortical structures such as the basal ganglia and with the cerebellum. A precise description of the human circuitry allowing for realization of dextrous hand movement is still missing in the human, as the electrophysiological and anatomical experimental approaches developed in animal models cannot be performed (i.e. intracortical microstimulation, neuronal tracing, lesion studies etc.). The unique setting of brain tumour resection with the brain mapping technique gives a great opportunity to use clinical data to evaluate neural networks in humans. In this setting, during surgical resection, Direct Electrical Stimulation (DES) is applied onto the exposed cortical and subcortical areas in order to identify the eloquent sites, i.e. where DES elicits motor responses, thus individuating the structures directly acting on the motor descending pathways, or induces transient impairment of the execution of a task, due to its interference with the physiological activity of the stimulated area. This approach allows for the extension of the resection of the tumour beyond its boundaries, increasing the patients’ survival while preserving their functional integrity. As has emerged by recent publications of our group, among the different stimulation paradigms available for intraoperative monitoring, the high frequency stimulation (‘the pulse technique’), which elicits motor evoked potentials (MEPs), is the most reliable paradigm for mapping the descending fibres originating form primary and non-primary motor areas, also in lesions infiltrating M1, while long and short-range fronto-parietal premotor pathways are well identified when low frequency stimulation (‘the Penfield technique’) is applied while the patient is performing a dedicated object manipulation task, clearly interfering with its performance. With a multidisciplinary approach, by combining electrophysiological data with virtual anatomical dissections by means of high angular resolution diffusion imaging (HARDI) tractography we correlated the functional properties of the stimulated sites with specific anatomical structures. In this PhD project, we focused on: the anatomo-functional properties of the human hand representation in M1 (study 1); the oncological and functional efficiency of high-frequency mapping in tumours harbouring within M1 (study 2); the frontal premotor pathways involved in controlling fine hand movements (study 3). Study 1, conducted on 17 patients who underwent an awake procedure, reported a possible subdivision, based on anatomo-functional analysis, of the human hand-knob in two sectors (a posterior one, close to the central sulcus, and an anterior one, close to the precentral sulcus) with different cortical excitability, different hand-muscle electromyographic (EMG) pattern when stimulations were delivered during the object manipulation task and, finally, with different local cortico-cortical connectivity. Overall data suggests that the two sectors may exert different roles in motor control. Study 2 consisted of a retrospective analysis of 102 patients who underwent an asleep procedure for the removal of tumours harbouring with M1 and its descending fibres. The neurophysiological protocols adopted for the intraoperative brain mapping were correlated with the clinical condition, the tumour imaging features, the extent of the resection and the post-operative functional outcome. First, results indicated that M1 tumour removal is feasible and safe and the high frequency stimulation was revealed as the most efficient and versatile paradigm in guiding resection of M1, affording 85.3% complete resection and only 2% permanent morbidity. The study confirmed the possible subdivision of M1 in a rostral less excitable region and a caudal more excitable region reported in Study1 with its clinical impact: the rostral sector can be indeed considered a safe point of entry for surgery and thus for catheters. Study 3 aimed at characterizing the effect of DES on the electrical activity (EMG) of hand movers during a dedicated object-manipulation task during subcortical stimulation of the frontal white matter anterior to M1 (precentral gyrus) and the anatomical evaluation of the stimulated sites by means of diffusion tractography, in 36 patients who underwent an awake surgery. Results indicated that stimulations of dorsal premotor connections with the spinal cord, dorsal striatum, local U-shaped connections and the superior longitudinal fasciculus I and II resulted in abrupt arrest of the hand, while more ventral stimulation, mainly targeting the third branch of the superior longitudinal fasciculus (SLF III) resulted in clumsy hand movements. Resection cavities analysis showed that transient post-operative upper-limb motor deficit occurred only disconnecting the supplementary motor area corticofugal fibres and the frontal U-shaped connections. Overall data suggests that DES on dorsal premotor white matter could interfere with areas involved in the very final stages of the motor program, while DES on ventral premotor white matter could halt the sensorimotor transformations necessary for correct hand shaping.
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Linder-Aronson, Philip, and Simon Stenberg. "Exo-Controlled Biomimetic Robotic Hand : A design solution for control of a robotic hand with an exoskeleton." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295846.

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Robotic arms and hands come in all shapes and sizes, they can be general purpose or task-specific. They can be pre-programed by a computer or controlled by a human operator. There is a certain subsection of robotic hands which try to mimic the shape, movement and function of the human hand, these are sometimes known as biomimetic robotics. This project explores the human robot interaction by creating an anthropomorphic robotic hand with an accompanying exoskeleton. The hand, which consists of a 3D-printed body and fingers, is connected to a forearm where the servos that control the fingers are housed. The exoskeleton connects to the operator's hand allowing finger tracking through a set of potentiometers. This setup allows the operator to intuitively control a robotic hand with a certain degree of precision. We set out to answer research questions in regard to the form and function of a biomimetic hand and the exoskeleton. Along the way, a multitude of problems were encountered such as budgetary issues resulting in only half the fingers having movement. Despite this, good results were gathered from the functioning fingers and our research questions were answered.
Robotarmar och händer finns många former och storlekar, de kan vara för allmänna ändamål eller uppgiftsspecifika. De kan programmeras av en dator eller styras av en mänsklig operatör. Det finns en viss typ av robothänder som försöker efterlikna formen, rörelsen och funktionen hos den mänskliga handen, och brukar kallas biomimetisk robotik. Detta projekt utforskar interaktionen mellan människa och robot genom att skapa en antropomorf robothand med tillhörande exoskelett. Handen, som består av en 3D-printad kropp och fingrar, är ansluten till en underarm där servormotorerna som styr fingrarna sitter. Exoskelettet ansluts till operatörens hand vilket möjliggör spårning av fingrarnas rörelse genom ett antal potentiometrar. Detta tillåter operatören att intuitivt styra en robothand med en viss grad av precision. Vi valde att besvara ett antal forskningsfrågor med avseende på form och funktion av en biomimetisk hand och exoskelettet. Under projektets gång påträffades en mängd problem såsom budgetproblem som resulterade i att bara hälften av fingrarna kan kontrolleras. Trots detta fick vi bra resultat från de fungerande fingrarna och våra forskningsfrågor kunde besvaras.
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Pinches, Elizabeth Margery. "The contribution of population activity in motor cortex to the control of skilled hand movement in the primate." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391516.

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Master, Sabah. "Motor Control and Perception during Haptic Sensing: Effects of Varying Attentional Demand, Stimuli and Age." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23548.

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This thesis describes a series of experiments in human observers using neurophysiological and behavioural approaches to investigate the effects of varying haptic stimuli, attentional demand and age on motor control and perception during haptic sensing (i.e., using the hand to seek sensory information by touch). In Experiments I-IV, transcranial magnetic stimulation (TMS) was used to explore changes in corticomotor excitability when participants were actively engaged in haptic sensing tasks. These studies showed that corticospinal excitability, as reflected in motor evoked potential (MEP) amplitude, was greatly enhanced when participants were engaged in different forms of haptic sensing. Interestingly, this extra corticomotor facilitation was absent when participants performed finger movements without haptic sensing or when attention was diverted away from haptic input by a concurrent cognitive task (Exp I). This provided strong evidence that the observed corticomotor facilitation was likely central in origin and related to haptic attention. Neuroimaging has shown activation of the parieto-frontal network likely subserves this aspect of haptic perception. Further, this haptic-specific corticomotor facilitation was finely modulated depending on whether participants focused attention on identifying material (texture) as opposed to geometric properties of scanned surfaces (Exp II). With regards to aging effects, haptic-related corticomotor facilitation was associated with higher recognition accuracy in seniors (Exp III). In line with this, seniors exhibited similar levels of haptic-related corticomotor facilitation to young adults when task demands were adjusted for age (Exp IV). Interestingly, both young and senior adults also showed substantial corticomotor facilitation in the ‘resting’ hand when the ipsilateral hand was engaged in haptic sensing (Exp IV). Simply touching the stimulus without being required to identify its properties (no attentional task demands) produced no extra corticomotor facilitation in either hand or age group, attesting again to the specificity of the effects with regards to haptic attention. In Experiments V-VI, the ability to recognise 2-D letters by touch was investigated using kinematic and psychophysical measures. In Experiment V, we characterized how age affected contact forces deployed at the fingertip. This investigation showed that older adults exhibited lower normal force and increased letter-to-letter variability in normal force when compared to young adults. This difference in contact force likely contributed to longer contact times and lower recognition accuracy in older adults, suggesting a central contribution to age-related declines in haptic perception. Consistent with this interpretation, Experiment VI showed that haptic letter recognition in older adults was characterized not only by lower recognition accuracy but also by substantial increases in response times and specific patterns of confusion between letters. All in all, these investigations highlight the critical interaction of central factors such as attentional demand with aging effects on motor and perceptual aspects of haptic sensing. Of particular significance is the clear demonstration that corticomotor excitability is greatly enhanced when a haptic sensing component (i.e., attending to specific haptic features) is added to simple finger movements performed at minimal voluntary effort levels (typically <15 % of the maximal effort). These observations underline the therapeutic potential of active sensory training strategies based on haptic sensing tasks for the re-education of motor and perceptual deficits in hand function (e.g., subsequent to a stroke). The importance of adjusting attentional demands and stimuli is highlighted, particularly with regards to special considerations in the aging population.
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Häger, Ross Charlotte. "To grip and not to slip : sensorimotor mechanisms in reactive control of grasp stability." Doctoral thesis, Umeå universitet, Fysiologi, 1995. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-110676.

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The reactive control of fingertip forces maintaining grasp stability was examined in man during a prehensile task. Blindfolded subjects used the precision grip between the tips of index finger and thumb to restrain an object that was subjected to unpredictable load forces. These were delivered tangential to the parallel grip surfaces of the object. Load forces, grip forces (perpendicular to the grip surfaces) and position of the object were recorded.Subjects automatically adjusted the grip forces to loads of various amplitudes and rates. Thereby they maintained a reliable safety margin against frictional slips without using excessive grip forces. A rapid rise in grip force lasting about 0.2 s was triggered after a short delay following the onset of a sustained ramp load increase. This 'catch-up' response caused a quick restoration of an adequate grip:load force ratio that prevented frictional slips. If the ramp load continued to increase after the catchup response, the grip force also increased in parallel with the load change in a 'tracking' manner. Consequently, during the hold phases of 'ramp-and-hold' loads, the employed grip forces were approximately proportional to the load amplitude. Sensory information about the rate of change of the load force parametrically scaled the 'catchup' and 'tracking' responses.Following anesthetic block of sensory input from the digits, the grip responses were both delayed and attenuated or even abolished. To compensate for these impairments, subjects had to voluntarily maintain exceedingly high grip forces to prevent the object from slipping. The grip control improved slightly during hand and forearm support conditions that allowed marked wrist movements to occur in response to the loading. This indicates that signals from receptors in muscles, joints or skin areas proximal to the digits can to some extent be used to adjust grip forces during impaired digital sensibility. In contrast, these signals had only minor influence on the control during normal digital sensibility.Grip responses to loads delivered in various directions revealed that the load direction, in relation to gravity and to the hand's geometry, represents intrinsic task variables in the automatic processes that maintain a stable grasp. The load direction influenced both the response latencies and the magnitudes of the grip responses. The response latencies were shortest for loads in directions that were the most critical with regard to the consequences of frictional slippage, i.e., loads directed away from the palm or in the direction of gravity. Recordings of signals in cutaneous afferents innervating the finger tips demonstrated that these effects on the response latencies depended on differences in the time needed by the central nervous system to implement the motor responses. The short latencies in the most ‘criticar load directions may reflect the preparation of a default response, while additional central processing would be needed to execute the response to loads in other directions. Adjustments to local frictional anisotropies at the digit-object interface largely explained the magnitude effects.In conclusion, grip responses are automatically adjusted to the current loading condition during unpredictable loading of a hand held object. Subjects call up a previously acquired sensorimotor transform that supports grasp stability by preventing both object slippage and excessive grip forces. Cutaneous sensory information about tangential forces and frictional conditions at the digit-object interface is used to initiate and scale the grip responses to the current loading conditions, largely in a predictive manner.

Diss. (sammanfattning) Umeå : Umeå universitet, 1995, Härtill 5 uppsatser


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Books on the topic "Hand motor control"

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Nowak, Dennis A. Sensorimotor control of grasping: Physiology and pathophysiology. Cambridge: Cambridge University Press, 2009.

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Nowak, Dennis A., and Joachim Hermsdörfer. Sensorimotor Control of Grasping: Physiology and Pathophysiology. Cambridge University Press, 2009.

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Nowak, Dennis A., and Joachim Hermsdörfer. Sensorimotor Control of Grasping: Physiology and Pathophysiology. Cambridge University Press, 2009.

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Nowak, Dennis A., and Joachim Hermsdörfer. Sensorimotor Control of Grasping: Physiology and Pathophysiology. Cambridge University Press, 2009.

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Nowak, Dennis A., and Joachim Hermsdörfer. Sensorimotor Control of Grasping: Physiology and Pathophysiology. Cambridge University Press, 2009.

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Publication, Newbee. Ready to Improve: Handwriting Improvement Activity Book; Improving Hand Control Using Complex Visual-Motor Integration Activities. Independently Published, 2020.

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Analysis of the control and coordination of two-handed movements in stroke patients. 1987.

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Analysis of the control and coordination of two-handed movements in stroke patients. 1988.

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Flora, Sherrill B. Pre-Printing FUN, Grades PK-1: Developmentally-Appropriate Activities That Will Strengthen Fine Motor Skills, Improve Eye-Hand Coordination, and Increase Pencil Control. Carson-Dellosa Publishing, LLC, 2010.

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Vaez-Zadeh, Sadegh. Predictive, Deadbeat, and Combined Controls. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0005.

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In this chapter, three control methods recently developed for or applied to electric motors in general and to permanent magnet synchronous (PMS) motors, in particular, are presented. The methods include model predictive control (MPC), deadbeat control (DBC), and combined vector and direct torque control (CC). The fundamental principles of the methods are explained, the machine models appropriate to the methods are derived, and the control systems are explained. The PMS motor performances under the control systems are also investigated. It is elaborated that MPC is capable of controlling the motor under an optimal performance according to a defined objective function. DBC, on the other hand, provides a very fast response in a single operating cycle. Finally, combined control produces motor dynamics faster than one under VC, with a smoother performance than the one under DTC.
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Book chapters on the topic "Hand motor control"

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Freude, G., P. Ullsperger, and M. Pietschmann. "Are Self-Paced Repetitive Fatiguing Hand Contractions Accompanied by Changes in Movement-Related Brain Potentials?" In Motor Control, 99–103. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_17.

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Altobelli, Alessandro. "Human Hand Motor Control Studies." In Springer Series on Touch and Haptic Systems, 7–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47087-0_2.

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Fu, Qiushi, and Marco Santello. "Learning from the Human Hand: Force Control and Perception Using a Soft-Synergy Prosthetic Hand and Noninvasive Haptic Feedback." In Advances in Motor Neuroprostheses, 53–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38740-2_4.

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Oyama, Takashi, and Teruaki Ito. "Motor Control of Hand Force for Visual Indicator Without Hand Displacement." In Advances in Industrial Design, 907–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51194-4_117.

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Xu, Jing, Adrian M. Haith, and John W. Krakauer. "Motor Control of the Hand Before and After Stroke." In Clinical Systems Neuroscience, 271–89. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55037-2_14.

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Yi, Yang, Jishen Chu, and Ryad Chellali. "Motor Actions Prediction and Control for the Nao Robot Playing Hand Clapping Games." In Social Robotics, 432–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70022-9_43.

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Phan, Gia Hoang, Vijender Kumar Solanki, and Nguyen Ho Quang. "A Pneumatic Actuator-Powered Robotic Glove for Hand Rehabilitation." In Bio-inspired Motor Control Strategies for Redundant and Flexible Manipulator with Application to Tooling Tasks, 69–77. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9551-3_5.

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Wang, Shuang, Jiting Li, and Ruoyin Zheng. "A Resistance Compensation Control Algorithm for a Cable-Driven Hand Exoskeleton for Motor Function Rehabilitation." In Intelligent Robotics and Applications, 398–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16587-0_37.

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Controzzi, M., Y. Hao, Q. Zhang, C. Cipriani, S. Zhang, W. Chen, M. C. Carrozza, and X. Zheng. "Decoding Grasp Types from the Monkey Motor Cortex and On-Line Control of a Dexterous Artificial Hand." In Converging Clinical and Engineering Research on Neurorehabilitation, 67–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34546-3_11.

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Verendeev, Andrey, Chet C. Sherwood, and William D. Hopkins. "Organization and Evolution of the Neural Control of the Hand in Primates: Motor Systems, Sensory Feedback, and Laterality." In Developments in Primatology: Progress and Prospects, 131–53. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3646-5_6.

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Conference papers on the topic "Hand motor control"

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Bebe Simion, Mihai n., Dan Selisteanu, and Dorin Sendrescu. "DC Motor Control using Hand Gestures." In 2020 24th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2020. http://dx.doi.org/10.1109/icstcc50638.2020.9259669.

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Zhai, Chao, and Michael Z. Q. Chen. "Modeling human hand movement with motor signature based on velocity segment." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531324.

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Rajagopalaswamy, M., M. Sivapalanirajan, D. Vairamuthu, S. Prince Joshwa, T. Vigneshkumar, and M. Willjuice Iruthayarajan. "Accelerometer Based Hand Gesture Recognition and Control of Motor Powered Trolley." In 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22). IEEE, 2022. http://dx.doi.org/10.1109/icetet-sip-2254415.2022.9791565.

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Kim, Yeongjin, Shing Shin Cheng, Aleksandrs Ecins, Cornelia Fermüller, Kelly P. Westlake, and Jaydev P. Desai. "Towards a Robotic Hand Rehabilitation Exoskeleton for Stroke Therapy." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6215.

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A majority of stroke patients suffer from the loss of effective motor function, which compromises their ability to control grasping motion. Hand rehabilitation is therefore important to improve their motor function and quality of life in activities of daily living (ADLs). In this initial work, we present the design and development of a partial hand exoskeleton actuated by shape memory alloy (SMA) spring actuators. The SMA spring actuators are cooled by forced convection and the individual joints of the finger are actuated via tendons. In this design, pre-tension in the passive springs enables the restoration of the original configuration when the SMA springs are not actuated. To address the slow cooling rate of SMA springs that limits the control performance, we developed a cooling unit for each SMA spring actuator. We utilized computer vision to identify an object and provide 3-D coordinates of the optimal grasping points on the object. We then utilized vision-based control to move the fingertips towards the grasping points. The experimental results showed that each individual joint was able to return to its original configuration significantly faster as well as to follow a sinusoidal trajectory with the proposed cooling strategy.
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Heidner, Gustavo Sandri, Billy C. Vermillion, and Sang Wook Lee. "Impact of actuator impedance characteristics on motor control of assisted hand movements." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037767.

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Sun, Wei, Jie-Xu Zhang, Kang Gu, Li-Hong Gai, and Li Li. "Research on Rehabilitation Hand Control Algorithm Based on S -Curve Multi-Micro Linear Motor." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8483885.

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Petrini, Francesco Maria, Stanisa Raspopovic, Marco Bonizzato, Federica Giambattistelli, Loredana Zollo, Eugenio Guglielmelli, and Silvestro Micera. "Efferent microneurography recordings: A tool for motor control study and hand-prosthesis decoding." In 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2013. http://dx.doi.org/10.1109/ner.2013.6695952.

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Condori, Kevin Acuna, Erick Carranza Urquizo, and David Achanccaray Diaz. "Embedded Brain Machine Interface based on motor imagery paradigm to control prosthetic hand." In 2016 IEEE ANDESCON. IEEE, 2016. http://dx.doi.org/10.1109/andescon.2016.7836266.

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Tomrongkunanan, Tanapon, and Tanes Tanitteerapan. "Development of Worksheet Motor Control Circuit Connection by Using Demonstration Learning Through The Simurelay Program to Develop Practical Skills in Motor Control Circuit by Hand in Electric Motor Control Course." In The 14th National Conference on Technical Education and The 9th International Conference on Technical Education. KMUTNB, Bangkok, Thailand, 2022. http://dx.doi.org/10.14416/c.fte.2022.06.041.

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Holmes, C. D., M. Wronkiewicz, T. Somers, J. Liu, E. Russell, D. Kim, C. Rhoades, et al. "IPSIHAND BRAVO: An improved EEG-based brain-computer interface for hand motor control rehabilitation." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346287.

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Reports on the topic "Hand motor control"

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Zhang, Chengdong, Jinchao Du, Meiyi Luo, Junfang Lei, Xiaohua Fan, and Jiqin Tang. Efficacy of transcutaneous electrical acupoint stimulation on upper limb function after stroke: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0036.

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Review question / Objective: To systematically evaluate the efficacy of transcutaneous electrical acupoint stimulation (TEAS) on upper limb motor dysfunction in stroke patients. P: Stroke patients. I: TEAS was performed on the basis of the control group. C: Routine rehabilitation training, which could be combined with transcutaneous electrical acupoint stimulation false stimulation, basic drug therapy or other sports therapy. O: Fugl-Meyer Assessment-Upper Extremity (FMA-UE), FMA wrist and hand part, FMA hand part, Modified Barthel Index (MBI) and Modified Ashworth Index (MAS). S: RCT. Information sources: Search PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang, Vip, and China Biology Medicine (CBM) Database, from the establishment of the database to December 2022.
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