7 research outputs found

    On The Road To A Neuroprosthetic Hand: A Novel Hand Grasp Orthosis Based on Functional Electrical Stimulation

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    To patients who have lost the functionality of their hands as a result of a severe spinal cord injury or brain stroke, the development of new techniques for grasping is indispensable for reintegration and independency in daily life. Functional Electrical Stimulation (FES) of residual muscles can reproduce the most dominant grasping tasks and can be initialized by brain signals. However, due to the very complex hand anatomy and current limitations in FES-technology with surface electrodes, these grasp patterns cannot be smoothly executed. In this paper, we present an adaptable passive hand orthosis which is capable of producing natural and smooth movements when coupled with FES. It evenly synchronizes the grasping movements and applied forces on all fingers, allowing for naturalistic gestures and functional grasps of everyday objects. The orthosis is also equipped with a lock, which allows it to remain in the desired position without the need for long-term stimulation. Furthermore, we quantify improvements offered by the orthosis compare them with natural grasps on healthy subjects

    Human Hand as a Parallel Manipulator

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    Neural bases of hand synergies

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    abstract: The human hand has so many degrees of freedom that it may seem impossible to control. A potential solution to this problem is โ€œsynergy controlโ€ which combines dimensionality reduction with great flexibility. With applicability to a wide range of tasks, this has become a very popular concept. In this review, we describe the evolution of the modern concept using studies of kinematic and force synergies in human hand control, neurophysiology of cortical and spinal neurons, and electromyographic (EMG) activity of hand muscles. We go beyond the often purely descriptive usage of synergy by reviewing the organization of the underlying neuronal circuitry in order to propose mechanistic explanations for various observed synergy phenomena. Finally, we propose a theoretical framework to reconcile important and still debated concepts such as the definitions of โ€œfixedโ€ vs. โ€œflexibleโ€ synergies and mechanisms underlying the combination of synergies for hand control.View the article as published at http://journal.frontiersin.org/article/10.3389/fncom.2013.00023/ful

    Effect of kinetic degrees of freedom in multi-finger force and moment stabilizing synergies.

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    The purpose of the present study was to test the principle of motor abundance as compared to motor redundance, by investigating the changes in force stabilizing and moment stabilizing synergies for pressing tasks involving different number of fingers (IM, IR, IL, MR, ML, RL, IMR, IML, IRL, MRL, IMRL; where I=Index, M=Middle, R=Ring, L=Little). Twelve healthy right-handed subjects (6 males and 6 females, 27 4.3 years) participated in the experiment. Subjects were explicitly provided a visual feedback of forces for a constant multi finger force production task. Since subjects were explicitly given a visual feedback of their performance for the force production task, strong force stabilizing synergies were expected (Hypothesis 1). Based on the principle of abundance, we hypothesized that the force stabilizing synergies would increase with the number of fingers (Hypothesis 2). Assuming that the precise moment stabilizing synergies are conditioned by everyday prehension experiences, we hypothesized that moment stabilizing synergies, if existing, would increase with the number of fingers, since all the fingers are generally used for everyday prehension and manipulation tasks, and such tasks require a precise control of moments (Hypothesis 3). Also, if both the synergies existed simultaneously, we hypothesized that those synergies would be more prominent when more fingers are involved in the task (Hypothesis 4).It was found that strong force stabilizing synergies existed for all the finger combinations, thus confirming our first hypothesis. However, these force stabilizing synergies reduced with an increase in the number of task fingers, disproving our second hypothesis. Moment destabilizing synergies were found for the two finger combinations and no moment synergies were present for the three finger combinations. However, moment stabilizing synergies existed for the four finger combinations. This confirmed our third and fourth hypothesis. We interpret the findings an evidence for the principle of abundance for stabilization of moments during pressing tasks, regardless of the fact that only the visual feedback of forces was given to the subjects

    MULTI-DIGIT HUMAN PREHENSION

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    The current dissertation addresses the central nervous system (CNS) strategies to solve kinetic redundancy in multi-digit static prehension under different geometries of hand-held objects and systematically varied mechanical constraints such as translation and rotation of the hand-held object. A series of experiments conducted for this dissertation tested the following hypotheses suggested in the current literatures for multi-digit human static prehension: Hierarchical organization hypothesis, principle of superposition hypothesis, proximity hypothesis, and mechanical advantage hypothesis. (1) Forces and moments produced by fingers during circular object prehension were grouped into two independent subsets: one subset related to grasping stability control and the other associated with rotational equilibrium control. This result supports the principle of superposition hypothesis. Individual fingers acted synergistically to compensate each other's errors. This result confirms the hierarchical organization hypothesis in circular object prehension. (2) During fixed object prehension of a rectangular object, the closer the non-task fingers positioned to the task finger, the greater the forces produced by the non-task fingers. However, during free object prehension, the non-task fingers with longer moment arms produced greater forces. The former and latter results support the proximity hypothesis and the mechanical advantage hypothesis, respectively. (3) The grasping stability control and rotational equilibrium control were decoupled during fixed object prehension as well as free object prehension. This result supports the principle of superposition hypothesis regardless of the mechanical constraints provided for these two prehension types. (4) During torque production, the fingers with longer moment arms produced greater forces when the fingers acted as agonists for the torque production. Therefore, the mechanical advantage hypothesis was supported for agonist fingers. (5) Coupling of thumb normal force and virtual finger normal force was not necessitated when horizontal translation of hand-held object was mechanically fixed. However, the coupling of two normal forces was always observed regardless of given translational constraints, and these two normal forces were independent to other mechanical variables such as tangential forces and moments. This result supports the principle of superposition hypothesis in static prehension under varied combinations of translational constraints

    ๋‹ค์ค‘์†๊ฐ€๋ฝ ๊ณผ์ œ ์ˆ˜ํ–‰ ์‹œ ์ธ๊ฐ„์˜ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ ๊ณผ์ •์˜ ์ •๋Ÿ‰ํ™”

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์ฒด์œก๊ต์œก๊ณผ, 2021. 2. ๋ฐ•์žฌ๋ฒ”.The continuously varied states of human body and surrounding environment require instantaneous motor adaptations and the understanding of motor goal to achieve desired actions. These sensory and cognitive processes have been investigated as elements in motor control during last five decades. Specially, the task dependency on sensory and cognitive processes suggest the effects of movement properties in terms of environment situation and motor goal. However, these effects were mostly empirically summarized with the measurements of either neural activity or simple motor accomplishment unilaterally. The current thesis addresses the quantification of sensory and cognitive processes based on simultaneous measurements of brain activity and synergic motor performance during multi-digit actions with different movement properties. Multi-digit action as a representation of synergic movements has developed into a widespread agency to quantify the efficacy of motor control, as the reason applied in this thesis. In this thesis, multi-digit rotation and pressing tasks were performed with different movement directions, frequencies, feedback modalities, or task complexities. (Chapter 3) The changes of movement direction induced a decrease in motor synergy but regardless of which direction. (Chapter 4 and 5) Increased frequency of rhythmic movement reduced synergic motor performance associate with decreased sensory process and less efficient cognitive process. (Chapter 6) More comprehensive feedback modality improved synergic performance with increased sensory process. (Chapter 7) Increased movement complexity had a consistent but stronger effect as increased frequency on synergic performance and efficiency of cognitive process. These observations suggest that several movement properties affect the contributions of sensory and cognitive processes to motor control which can be quantified through either neural activity or synergic motor performance. Accordingly, those movement properties may be applied in the rehabilitation of motor dysfunction by developing new training programs or assistant devices. Additionally, it may be possible to develop a simplified while efficient method to estimate the contribution of sensory or cognitive process to motor control.์‹œ์‹œ๊ฐ๊ฐ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ์‹ ์ฒด ์ƒํƒœ์™€ ์ฃผ๋ณ€ ํ™˜๊ฒฝ์˜ ์ƒํ˜ธ์ž‘์šฉ ์†์—์„œ ์•Œ๋งž์€ ์›€์ง์ž„์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ทธ์— ๋”ฐ๋ฅธ ์ฆ‰๊ฐ์ ์ธ ์šด๋™ ์ ์‘(motor adaptation) ๊ณผ์ •์™€ ๊ณผ์ œ ๋ชฉํ‘œ์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ธ๊ฐ„์˜ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์€ ์šด๋™ ์ œ์–ด ๋ถ„์•ผ์˜ ์ค‘์š”ํ•œ ์š”์†Œ๋กœ ์—ฌ๊ฒจ์กŒ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด, ์šด๋™ ๊ณผ์ œ์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๋Š” ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์€ ์ฃผ๋ณ€ ํ™˜๊ฒฝ๊ณผ ๊ณผ์ œ์˜ ๋ชฉํ‘œ์— ๋”ฐ๋ผ ์›€์ง์ž„์˜ ํŠน์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๊ณ  ๋ณด๊ณ ๋˜์–ด์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์˜ํ–ฅ์€ ๋Œ€๋ถ€๋ถ„ ๋‹จ์ˆœํ•œ ์šด๋™๊ณผ์ œ ์ˆ˜ํ–‰ ๊ฒฐ๊ณผ ๋˜๋Š” ์ธก์ •๋œ ์‹ ๊ฒฝ ํ™œ๋™์— ์˜ํ•ด ๊ฒฝํ—˜์ ์œผ๋กœ ์š”์•ฝ๋œ ๊ฒฐ๊ณผ์— ๊ตญํ•œ๋˜์–ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์–‘ํ•œ ์›€์ง์ž„ ํŠน์„ฑ์„ ๊ฐ€์ง„ ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ๊ณผ์ œ ์ˆ˜ํ–‰ ์‹œ, ๋‡Œ ํ™œ๋™ (Brain activity)๊ณผ ๋”๋ถˆ์–ด ์†๊ฐ€๋ฝ๋“ค ๊ฐ„์˜ ํ˜‘์‘์ ์ธ ์›€์ง์ž„์˜ ์ˆ˜ํ–‰ ๊ฒฐ๊ณผ๋ฅผ ๋™์‹œ ์ธก์ •ํ•˜์—ฌ ๊ณผ์ œ์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ๊ณผ์ œ๋Š” ์šด๋™ ์ œ์–ด์˜ ์„ฑ๋Šฅ ํšจ์œจ์„ฑ์„ ์ •๋Ÿ‰ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋Š” ๋Œ€ํ‘œ์ ์ธ ๊ณผ์ œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์กฐ๊ฑด์˜ ์›€์ง์ž„ ๋ฐฉํ–ฅ, ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„, ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ ์–‘์‹ ๋˜๋Š” ๊ณผ์ œ ๋‚œ์ด๋„์— ๋”ฐ๋ฅธ ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ํšŒ์ „ ๋™์ž‘ ๋ฐ ํž˜ ์ƒ์„ฑ ๊ณผ์ œ๋ฅผ ์‚ฌ์šฉํ–ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋กœ๋Š”, (๋ฌธ๋‹จ 3) ์›€์ง์ž„ ๋ฐฉํ–ฅ์ด ๋ณ€ํ™”ํ•˜๊ธฐ ์ „์— ๋ณ€ํ™”ํ•  ๋ฐฉํ–ฅ์— ์ƒ๊ด€์—†์ด ํ˜‘์‘์ ์ธ ์›€์ง์ž„์ด ์•…ํ™”๋˜์—ˆ๋‹ค. (๋ฌธ๋‹จ 4์™€ 5) ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ˜‘์‘์ ์ธ ์›€์ง์ž„์ด ์•…ํ™”๋์œผ๋ฉฐ, ์ด์™€ ๊ด€๋ จ๋œ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ํšจ์œจ์„ฑ๋„ ๊ฐ์†Œ๋˜์—ˆ๋‹ค. (๋ฌธ๋‹จ 6) ๋‹จ์ผ ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ ์ œ๊ณต์กฐ๊ฑด์— ๋น„ํ•ด ์ข…ํ•ฉ์ ์ธ ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ์€ ์ฆ๊ฐ€๋œ ๊ฐ๊ฐ ์ฒ˜๋ฆฌ๊ณผ์ •๊ณผ ํ•จ๊ป˜ ํ˜‘์‘์ ์ธ ์›€์ง์ž„์„ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. (๋ฌธ๋‹จ 7) ๊ณผ์ œ์˜ ๋‚œ์ด๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ˜‘์‘์ ์ธ ์›€์ง์ž„๊ณผ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ํšจ์œจ์„ฑ์€ ๊ฐ์†Œ๋˜์—ˆ์œผ๋ฉฐ, ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„ ์กฐ๊ฑด์— ๋น„ํ•ด ๊ณผ์ œ์˜ ๋‚œ์ด๋„์— ๋”ฐ๋ผ ํ˜‘์‘์ ์ธ ์›€์ง์ž„๊ณผ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋” ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์›€์ง์ž„ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๋‡Œ ํ™œ๋™๊ณผ ํ˜‘์‘์ ์ธ ๊ณผ์ œ ์ˆ˜ํ•ด ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์šด๋™ ์ œ์–ด ๊ณผ์ •์—์„œ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ๊ธฐ์—ฌ์ •๋„๋ฅผ ์ •๋Ÿ‰ํ™”ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ์›€์ง์ž„ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ ๊ณผ์ •์˜ ๊ธฐ์—ฌ์ •๋„์˜ ๋ณ€ํ™”๋Š” ์šด๋™ ๊ธฐ๋Šฅ ์žฅ์• ๋ฅผ ๊ฐ€์ง„ ์‚ฌ๋žŒ๋“ค์˜ ์ƒˆ๋กœ์šด ์žฌํ™œ ํ›ˆ๋ จ ํ”„๋กœ๊ทธ๋žจ ๋ฐ ์›€์ง์ž„ ๋ณด์กฐ ์žฅ์น˜๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์‹คํ—˜์ ์ธ ๊ทผ๊ฑฐ๋กœ ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ๊ฐ๊ฐ ๋˜๋Š” ์ธ์ง€ ๊ณผ์ •์ด ์šด๋™ ์ œ์–ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ํšจ์œจ์ ์ธ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๋Š”๋ฐ ๋„์›€์ด ๋  ๊ฒƒ์ด๋‹ค.Chapter 1. Introduction 1 1.1 Problem statement 1 1.2 Study objective 2 1.3 Organization of dissertation 3 Chapter 2. Background 6 2.1 Motor system 6 2.1.1 Ascending pathway 6 2.1.2 Descending pathway 8 2.1.3 Brain networks 9 2.2 Motor synergy 11 2.2.1 Synergy in performance 12 2.2.2 Synergy in muscles 13 2.2.3 Synergy in neurons 14 2.3 Motor control 15 2.1.1 Sensory process 16 2.1.2 Cognitive process 19 Chapter 3. Effect of movement direction: Multi-Finger Interaction and Synergies in Finger Flexion and Extension Force Production 23 3.1 Abstract 23 3.2 Introduction 24 3.3 Method 28 3.4 Results 35 3.4.1 Maximal voluntary contraction (MVC) force and finger independency 36 3.4.2 Timing indices 37 3.4.3 Multi-finger synergy indices in mode space 39 3.4.4 Multi-finger synergy indices in force space 43 3.5 Discussion 44 3.5.1 Finger independency during finger flexion and extension 44 3.5.2 Multi-finger synergies in force and mode spaces 46 3.5.3 Anticipatory synergy adjustment 48 Chapter 4. Effect of Frequency: Brain Oxygenation Magnitude and Mechanical Outcomes during Multi-Digit Rhythmic Rotation Task 51 4.1 Abstract 51 4.2 Introduction 51 4.3 Methods 55 4.4 Results 61 4.4.1 PET imaging 61 4.4.2 Finger forces 62 4.4.3 UCM analysis 64 4.4.4 Correlation between neural activation and mechanics 65 4.5 Discussion 66 4.5.1 Regions involved in feedback 67 4.5.2 Regions involved in feedforward 69 4.5.3 Corporation of feedforward and feedback 71 4.6 Conclusions 72 Chapter 5. Effect of frequency: Prefrontal Cortex Oxygenation during Multi-Digit Rhythmic Pressing Actions using fNIRS 74 5.1 Abstract 74 5.2 Introduction 74 5.3 Method 77 5.4 Results 84 5.4.1 Performance 84 5.4.2 Multi-digit coordination indices 84 5.4.3 Functional connectivity (FC) 87 5.5 Discussion 88 5.6 Conclusion 91 Chapter 6. Effect of Sensory Modality: Multi-Sensory Integration during Multi-Digit Rotation Task with Different Frequency 92 6.1 Abstract 92 6.2 Introduction 92 6.3 Method 94 6.4 Results 100 6.4.1 Performance 100 6.4.2 Multi-digit coordination indices 101 6.5 Discussion 101 6.6 Conclusion 103 Chapter 7. Effect of Task Complexity: Prefrontal Cortex Oxygenation during Multi-Digit Pressing Actions with Different Frequency Components 104 7.1 Abstract 104 7.2 Introduction 104 7.3 Method 106 7.4 Results 112 7.4.1 Performance 112 7.4.2 Multi-finger coordination indices 113 7.4.3 Functional connectivity (FC) 114 7.5 Discussion 115 7.5.1 Relation between Frequency and task complexity 115 7.5.2 Cognitive process in motor control 116 7.5.3 Relation between motor coordination and cognitive process 118 7.6 Conclusion 119 Chapter 8. Conclusions and Future Work 120 8.1 Summary of conclusions 120 8.2 Future work 121 Bibliography 122 Abstract in Korean 160Docto

    Parallel Manipulators

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    In recent years, parallel kinematics mechanisms have attracted a lot of attention from the academic and industrial communities due to potential applications not only as robot manipulators but also as machine tools. Generally, the criteria used to compare the performance of traditional serial robots and parallel robots are the workspace, the ratio between the payload and the robot mass, accuracy, and dynamic behaviour. In addition to the reduced coupling effect between joints, parallel robots bring the benefits of much higher payload-robot mass ratios, superior accuracy and greater stiffness; qualities which lead to better dynamic performance. The main drawback with parallel robots is the relatively small workspace. A great deal of research on parallel robots has been carried out worldwide, and a large number of parallel mechanism systems have been built for various applications, such as remote handling, machine tools, medical robots, simulators, micro-robots, and humanoid robots. This book opens a window to exceptional research and development work on parallel mechanisms contributed by authors from around the world. Through this window the reader can get a good view of current parallel robot research and applications
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