Bio-inspired control of redundant robotic systems: Optimization approach

Osnovni cilj ovog rada je da promoviše pristup biološki inspirisanog sinergijskog upravljanja koji omogućava da se razreši redundansa datog robotizovanog sistema koji se može koristiti i za vojne svrhe. Pokazano je da je moguće razrešiti kinematički redundansu primenom metode lokalne optimizacije i bioloških analogona - sinergijsko upravljački pristup sa uvođenjem logičkog upravljanja i distribuiranog pozicioniranja. Takođe, mogućnost prebacivanja između sinegrija u okviru jedne trajektorije je razmatrano. Na kraju, problem aktuatorske redundanse je postavljen i rešen primenom Pontrjaginovog principa maksimuma. Upravljačka sinergija je ustanovljena primenom postupka optimizacije na koordinacionom nivou. Na kraju, efikasnost predložene biološki inspirisane optimalne upravljačke sinergije je demonstriran na pogodno usvojenom robotskom sistemu sa tri stepena slobode i četiri upravljačke promenljive, kao ilustrativnog primera.The major aim of this paper is to promote a biologically inspired control synergy approach that allows the resolution of redundancy of a given robotized system which can be used for military purposes. It is shown that it is possible to resolve kinematic redundancy using the local optimization method and biological analogues - control synergy approach, introducing hypothetical control and distributed positioning. Also, the possibility of switching synergies within a single trajectory is treated, where the control synergy approach applying logical control is used. The actuator redundancy control problem has been stated and solved using Pontryagin's maximum principle. Control synergy as a class of dynamic synergy is established by the optimization law at the coordination level. Finally, the effectiveness of the suggested biologically inspired optimal control synergy is demonstrated with a suitable robot with three degrees of freedom and four control variables, as an illustrative example.

Bio-inspired control of redundant robotic systems: Optimization approach

Osnovni cilj ovog rada je da promoviše pristup biološki inspirisanog sinergijskog upravljanja koji omogućava da se razreši redundansa datog robotizovanog sistema koji se može koristiti i za vojne svrhe. Pokazano je da je moguće razrešiti kinematički redundansu primenom metode lokalne optimizacije i bioloških analogona - sinergijsko upravljački pristup sa uvođenjem logičkog upravljanja i distribuiranog pozicioniranja. Takođe, mogućnost prebacivanja između sinegrija u okviru jedne trajektorije je razmatrano. Na kraju, problem aktuatorske redundanse je postavljen i rešen primenom Pontrjaginovog principa maksimuma. Upravljačka sinergija je ustanovljena primenom postupka optimizacije na koordinacionom nivou. Na kraju, efikasnost predložene biološki inspirisane optimalne upravljačke sinergije je demonstriran na pogodno usvojenom robotskom sistemu sa tri stepena slobode i četiri upravljačke promenljive, kao ilustrativnog primera.The major aim of this paper is to promote a biologically inspired control synergy approach that allows the resolution of redundancy of a given robotized system which can be used for military purposes. It is shown that it is possible to resolve kinematic redundancy using the local optimization method and biological analogues - control synergy approach, introducing hypothetical control and distributed positioning. Also, the possibility of switching synergies within a single trajectory is treated, where the control synergy approach applying logical control is used. The actuator redundancy control problem has been stated and solved using Pontryagin's maximum principle. Control synergy as a class of dynamic synergy is established by the optimization law at the coordination level. Finally, the effectiveness of the suggested biologically inspired optimal control synergy is demonstrated with a suitable robot with three degrees of freedom and four control variables, as an illustrative example.

Synergy-Based Human Grasp Representations and Semi-Autonomous Control of Prosthetic Hands

Das sichere und stabile Greifen mit humanoiden Roboterhänden stellt eine große Herausforderung dar. Diese Dissertation befasst sich daher mit der Ableitung von Greifstrategien für Roboterhände aus der Beobachtung menschlichen Greifens. Dabei liegt der Fokus auf der Betrachtung des gesamten Greifvorgangs. Dieser umfasst zum einen die Hand- und Fingertrajektorien während des Greifprozesses und zum anderen die Kontaktpunkte sowie den Kraftverlauf zwischen Hand und Objekt vom ersten Kontakt bis zum statisch stabilen Griff. Es werden nichtlineare posturale Synergien und Kraftsynergien menschlicher Griffe vorgestellt, die die Generierung menschenähnlicher Griffposen und Griffkräfte erlauben. Weiterhin werden Synergieprimitive als adaptierbare Repräsentation menschlicher Greifbewegungen entwickelt. Die beschriebenen, vom Menschen gelernten Greifstrategien werden für die Steuerung robotischer Prothesenhände angewendet. Im Rahmen einer semi-autonomen Steuerung werden menschenähnliche Greifbewegungen situationsgerecht vorgeschlagen und vom Nutzenden der Prothese überwacht

A Framework for Human Motion Strategy Identification and Analysis

The human body has many biomechanical degrees of freedom and thus multiple movement strategies can be employed to execute any given task. Automated identification and classification of these movement strategies have potential applications in various fields including sports performance research, rehabilitation, and injury prevention. For example, in the field of rehabilitation, the choice of movement strategy can impact joint loading patterns and risk of injury. The problem of identifying movement strategies is related to the problem of classifying variations in the observed motions. When differences between two movement trajectories performing the same task are large, they are considered to be different movement strategies. Conversely, when the differences between observed movements are small, they are considered to be variations of the same movement strategy. In the simplest scenario a movement strategy can represent a cluster of similar movement trajectories, but in more complicated scenarios differences in movements could also lie on a continuum. The goal of this thesis is to develop a computational framework to automatically recognize different movement strategies for performing a task and to identify what makes each strategy different. The proposed framework utilizes Gaussian Process Dynamical Models (GPDM) to convert human motion trajectories from their original high dimensional representation to a trajectory in a lower dimensional space (i.e. the latent space). The dimensionality of the latent space is determined by iteratively increasing the dimensionality until the reduction in reconstruction error between iterations becomes small. Then, the lower dimensional trajectories are clustered using a Hidden Markov Model (HMM) clustering algorithm to identify movement strategies in an unsupervised manner. Next, we introduce an HMM-based technique for detecting differences in signals between two HMM models. This technique is used to compare latent space variables between the low-dimensional trajectory models as well as differences in degrees-of-freedom (DoF) between the corresponding high-dimensional (original) trajectory models. Then, through correlating latent variable and DoF differences movement synergies are discovered. To validate the proposed framework, it was tested on 3 different datasets – a synthetic dataset, a real labeled motion capture dataset, and an unlabeled motion capture dataset. The proposed framework achieved higher classification accuracy against competing algorithms (Joint Component Vector and Kinematic Synergies) where labels were known apriori. Additionally, the proposed algorithm showed that it was able to discover strategies that were not known apriori and how the strategies differed

Analysis of the Interlimb similarity of motor patterns for improving stroke assessment and neurorehabilitation

Stroke is the leading cause of adult disability, with upper limb hemiparesis being one of the most common consequences. Regaining voluntary arm movement is one of the major goals of rehabilitation. However, even with intensive rehabilitation, approximately 30% of patients remain permanently disabled and only 5 to 20% of them recover full independence. Hence, there is an increasing interest in incorporating the latest advances in neuroscience, medicine and engineering to improve the efficacy of conventional therapies. In the last years, a variety of promising targets have been identified to improve rehabilitation. However, there is no consensus on which measure should be applied as a gold standard to study functional recovery. This fact dramatically hinders the development of new interventions since it turns difficult to compare different clinical trials and draw consistent conclusions about therapeutic efficiency. In addition, available scales are subjective, qualitative and often lead to incongruent outcomes. Indeed, there is increasing suspicion that the lack of optimal assessment measures hampers the detection of benefits of new therapies. Moreover, existing scales totally ignore the neuromuscular state of the patient masking the ongoing recovery processes. In consequence, making appropriate clinical decisions in such environment is almost impossible. In light of all these facts, the need for new objective biomarkers to develop effective therapies is undeniable. To give response to these demands we have organized this thesis into two main branches. On the one hand, we have developed an innovative physiological scale that reveals the neuromuscular state of the patient and is able to discriminate between motor impairment levels. The innovation here resides in the concept of interlimb similarity (ILS). Based on the latest findings about the modular organization of the motor system and taking into account that stroke provokes unilateral motor damage, we propose comparing the control structure of the unaffected arm with the control structure of the paretic arm to quantify motor impairment. We have defined the control structure as the set of muscle synergies and activation coefficients needed to complete a task. The advantage of this approach is not only its capacity to provide neuromuscular information about the patient, but also that the ILS is personalized to each patient and can purposely guide rehabilitation based on the patient¿s own physiological patterns. This supposes a huge advance taking into account the heterogeneity of stroke pathogenesis. On other hand, we have characterized the therapeutic potential of Visual Feedback (VF) as a tool to purposely induce neuroplastic changes. We have chosen VF among the various interventions proven to improve motor performance, because VF is a cheap strategy that can be implemented in almost any rehabilitation center. We demonstrate that VF is able to modulate the human control structure. In healthy subjects, it seems that VF makes accessible the refined dominant motor programs for the nondominant hemisphere giving rise to an increased interlimb similarity of the control structure. Interestingly, in stroke patients VF is able to manipulate the ILS of upper-limb kinematics in favor of finer motor control but a single training session seems not to be enough to fix those changes in the neuromuscular system of a damaged brain. Overall, these findings offer a new promising framework to develop and assess an effective intervention to guide the restoration of the original neuromuscular patterns and avoid unwanted maladaptive neuroplasticity. In conclusion, this thesis seeks moving forward in the understanding of human motor recovery processes and their relationship with neuroplasticity. In this sense, it provides important advances in the design of a new biomarker of motor impairment and tests the power of VF to modulate the neuromuscular control of patients with stroke.L'ictus és la principal causa de discapacitat en adults, essent l'hemiparèsia del membre superior una de les conseqüències més comunes. Els programes de rehabilitació tenen com a objectiu fonamental restituir la mobilitat del braç afectat. No obstant això, es calcula que només entre el 5 i el 20% dels pacients aconsegueixen recuperar la seva independència mentre que el 30% queden incapacitats permanentment. En front d'aquest escenari es fa necessari incorporar els últims avenços de la neurociència, la medicina i l'enginyeria en aquesta àrea. En els darrers anys s'han identificat diversos aspectes clau per intentar millorar la rehabilitació. El problema, però, és que no hi ha consens per definir una mesura com a "gold estàndard" per avaluar la recuperació funcional, motiu pel qual, el desenvolupament de noves teràpies queda profundament afectat, ja que esdevé impossible poder comparar diferents assajos clínics i extreure conclusions consistents sobre la seva eficiència terapèutica. A més, les diverses mesures que s'utilitzen són subjectives, qualitatives i sovint donen resultats incongruents. De fet, se sospita que la manca de mesures d'avaluació òptimes dificulta la detecció dels beneficis de noves teràpies. A tot això se li ha d'afegir que les mesures actuals no consideren l'estat neuromuscular del pacient, emmascarant els processos reparadors subjacents. Així doncs, prendre les decisions clíniques adequades sota aquestes condicions esdevé pràcticament impossible. En aquestes circumstàncies, no es pot ignorar el requeriment de nous biomarcadors que proporcionin dades objectives per catalitzar el disseny de teràpies efectives. Per donar resposta a aquesta situació, la tesi s'ha estructurat en dues parts. Per una banda, s'ha desenvolupat una innovadora escala fisiològica que revela l'estat neuromuscular del pacient i és capaç de discriminar entre diferents nivells d'incapacitat motora. La innovació rau en el concepte de similitud entre membres (ILS, en anglès). Així, basant-nos en els darrers descobriments sobre l'organització modular del sistema motor, i en el fet que l'ictus provoca dany unilateral, proposem comparar l'estructura de control del braç no-afectat amb l'estructura de control del braç parètic per quantificar la incapacitat motora. L'estructura de control l'hem definida com el conjunt de sinergies musculars i coeficients d'activació que es necessiten per a dur a terme una tasca. L'avantatge d'aquesta proposta és doble, ja que proporciona informació sobre l'estat neuromuscular del pacient i en ser personalitzable, pot guiar la rehabilitació d'acord amb els patrons fisiològics propis de cada pacient. Això suposa un enorme avenç en aquesta àrea, donada la immensa heterogeneïtat de la patogènesi d'aquest trastorn. D'altra banda, s'ha caracteritzat el potencial terapèutic del feedback visual (VF) per induir canvis neuroplàstics. Aquesta és una eina molt interessant perquè a més de millorar el control motor, és assequible per gairebé qualsevol centre de rehabilitació. S'ha demostrat que el VF és capaç de modular l'estructura de control. Concretament, el VF sembla transferir els programes motors de l'hemisferi dominant al costat no dominant augmentant així el ILS dels subjectes sans. En pacients amb ictus, el VF és capaç d'augmentar el ILS cinemàtic afavorint patrons de control més fins. En conclusió, l'objectiu d'aquesta tesi és aprofundir en la comprensió dels processos de recuperació motora i la seva relació amb la neuroplasticitat. La tesi ofereix un nou i prometedor marc per desenvolupar i avaluar procediments efectius per guiar la restauració dels patrons neuromusculars originals i evitar que el cervell pateixi canvis neuroplàstics indesitjables. Així, la tesi proporciona avanços importants en el disseny d'un biomarcador per quantificar la incapacitat motora i avaluar el potencial del VF per modular el control neuromuscular de pacients amb ictus.Postprint (published version

Analysis of the Interlimb similarity of motor patterns for improving stroke assessment and neurorehabilitation

Stroke is the leading cause of adult disability, with upper limb hemiparesis being one of the most common consequences. Regaining voluntary arm movement is one of the major goals of rehabilitation. However, even with intensive rehabilitation, approximately 30% of patients remain permanently disabled and only 5 to 20% of them recover full independence. Hence, there is an increasing interest in incorporating the latest advances in neuroscience, medicine and engineering to improve the efficacy of conventional therapies. In the last years, a variety of promising targets have been identified to improve rehabilitation. However, there is no consensus on which measure should be applied as a gold standard to study functional recovery. This fact dramatically hinders the development of new interventions since it turns difficult to compare different clinical trials and draw consistent conclusions about therapeutic efficiency. In addition, available scales are subjective, qualitative and often lead to incongruent outcomes. Indeed, there is increasing suspicion that the lack of optimal assessment measures hampers the detection of benefits of new therapies. Moreover, existing scales totally ignore the neuromuscular state of the patient masking the ongoing recovery processes. In consequence, making appropriate clinical decisions in such environment is almost impossible. In light of all these facts, the need for new objective biomarkers to develop effective therapies is undeniable. To give response to these demands we have organized this thesis into two main branches. On the one hand, we have developed an innovative physiological scale that reveals the neuromuscular state of the patient and is able to discriminate between motor impairment levels. The innovation here resides in the concept of interlimb similarity (ILS). Based on the latest findings about the modular organization of the motor system and taking into account that stroke provokes unilateral motor damage, we propose comparing the control structure of the unaffected arm with the control structure of the paretic arm to quantify motor impairment. We have defined the control structure as the set of muscle synergies and activation coefficients needed to complete a task. The advantage of this approach is not only its capacity to provide neuromuscular information about the patient, but also that the ILS is personalized to each patient and can purposely guide rehabilitation based on the patient¿s own physiological patterns. This supposes a huge advance taking into account the heterogeneity of stroke pathogenesis. On other hand, we have characterized the therapeutic potential of Visual Feedback (VF) as a tool to purposely induce neuroplastic changes. We have chosen VF among the various interventions proven to improve motor performance, because VF is a cheap strategy that can be implemented in almost any rehabilitation center. We demonstrate that VF is able to modulate the human control structure. In healthy subjects, it seems that VF makes accessible the refined dominant motor programs for the nondominant hemisphere giving rise to an increased interlimb similarity of the control structure. Interestingly, in stroke patients VF is able to manipulate the ILS of upper-limb kinematics in favor of finer motor control but a single training session seems not to be enough to fix those changes in the neuromuscular system of a damaged brain. Overall, these findings offer a new promising framework to develop and assess an effective intervention to guide the restoration of the original neuromuscular patterns and avoid unwanted maladaptive neuroplasticity. In conclusion, this thesis seeks moving forward in the understanding of human motor recovery processes and their relationship with neuroplasticity. In this sense, it provides important advances in the design of a new biomarker of motor impairment and tests the power of VF to modulate the neuromuscular control of patients with stroke.L'ictus és la principal causa de discapacitat en adults, essent l'hemiparèsia del membre superior una de les conseqüències més comunes. Els programes de rehabilitació tenen com a objectiu fonamental restituir la mobilitat del braç afectat. No obstant això, es calcula que només entre el 5 i el 20% dels pacients aconsegueixen recuperar la seva independència mentre que el 30% queden incapacitats permanentment. En front d'aquest escenari es fa necessari incorporar els últims avenços de la neurociència, la medicina i l'enginyeria en aquesta àrea. En els darrers anys s'han identificat diversos aspectes clau per intentar millorar la rehabilitació. El problema, però, és que no hi ha consens per definir una mesura com a "gold estàndard" per avaluar la recuperació funcional, motiu pel qual, el desenvolupament de noves teràpies queda profundament afectat, ja que esdevé impossible poder comparar diferents assajos clínics i extreure conclusions consistents sobre la seva eficiència terapèutica. A més, les diverses mesures que s'utilitzen són subjectives, qualitatives i sovint donen resultats incongruents. De fet, se sospita que la manca de mesures d'avaluació òptimes dificulta la detecció dels beneficis de noves teràpies. A tot això se li ha d'afegir que les mesures actuals no consideren l'estat neuromuscular del pacient, emmascarant els processos reparadors subjacents. Així doncs, prendre les decisions clíniques adequades sota aquestes condicions esdevé pràcticament impossible. En aquestes circumstàncies, no es pot ignorar el requeriment de nous biomarcadors que proporcionin dades objectives per catalitzar el disseny de teràpies efectives. Per donar resposta a aquesta situació, la tesi s'ha estructurat en dues parts. Per una banda, s'ha desenvolupat una innovadora escala fisiològica que revela l'estat neuromuscular del pacient i és capaç de discriminar entre diferents nivells d'incapacitat motora. La innovació rau en el concepte de similitud entre membres (ILS, en anglès). Així, basant-nos en els darrers descobriments sobre l'organització modular del sistema motor, i en el fet que l'ictus provoca dany unilateral, proposem comparar l'estructura de control del braç no-afectat amb l'estructura de control del braç parètic per quantificar la incapacitat motora. L'estructura de control l'hem definida com el conjunt de sinergies musculars i coeficients d'activació que es necessiten per a dur a terme una tasca. L'avantatge d'aquesta proposta és doble, ja que proporciona informació sobre l'estat neuromuscular del pacient i en ser personalitzable, pot guiar la rehabilitació d'acord amb els patrons fisiològics propis de cada pacient. Això suposa un enorme avenç en aquesta àrea, donada la immensa heterogeneïtat de la patogènesi d'aquest trastorn. D'altra banda, s'ha caracteritzat el potencial terapèutic del feedback visual (VF) per induir canvis neuroplàstics. Aquesta és una eina molt interessant perquè a més de millorar el control motor, és assequible per gairebé qualsevol centre de rehabilitació. S'ha demostrat que el VF és capaç de modular l'estructura de control. Concretament, el VF sembla transferir els programes motors de l'hemisferi dominant al costat no dominant augmentant així el ILS dels subjectes sans. En pacients amb ictus, el VF és capaç d'augmentar el ILS cinemàtic afavorint patrons de control més fins. En conclusió, l'objectiu d'aquesta tesi és aprofundir en la comprensió dels processos de recuperació motora i la seva relació amb la neuroplasticitat. La tesi ofereix un nou i prometedor marc per desenvolupar i avaluar procediments efectius per guiar la restauració dels patrons neuromusculars originals i evitar que el cervell pateixi canvis neuroplàstics indesitjables. Així, la tesi proporciona avanços importants en el disseny d'un biomarcador per quantificar la incapacitat motora i avaluar el potencial del VF per modular el control neuromuscular de pacients amb ictus

The role of morphology of the thumb in anthropomorphic grasping : a review

The unique musculoskeletal structure of the human hand brings in wider dexterous capabilities to grasp and manipulate a repertoire of objects than the non-human primates. It has been widely accepted that the orientation and the position of the thumb plays an important role in this characteristic behavior. There have been numerous attempts to develop anthropomorphic robotic hands with varying levels of success. Nevertheless, manipulation ability in those hands is to be ameliorated even though they can grasp objects successfully. An appropriate model of the thumb is important to manipulate the objects against the fingers and to maintain the stability. Modeling these complex interactions about the mechanical axes of the joints and how to incorporate these joints in robotic thumbs is a challenging task. This article presents a review of the biomechanics of the human thumb and the robotic thumb designs to identify opportunities for future anthropomorphic robotic hands

Muscle synergy analysis of lower-limb movements

Dissertação de mestrado integrado em Biomedical Engineering (área de especialização em Medical Electronics)Neurological disorders and trauma often lead to impaired lower-limb motor coordination. Understanding how muscles combine to produce movement can directly benefit assistive solutions to those afflicted with these impairments. A theory in neuromusculoskeletal research, known as muscle synergies, has shown promising results in applications for this field. This hypothesis postulates that the Central Nervous System controls motor tasks through the time-variant combinations of modules (or synergies), each representing the co-activation of a group of muscles. There is, however, no unifying, evidence-based framework to ascertain muscle synergies, as synergy extraction methods vary greatly in the literature. Publications also focus on gait analysis, leaving a knowledge gap when concerning motor tasks important to daily life such as sitting and standing. The purpose of this dissertation is the development of a robust, evidence-based, task-generic synergy extraction framework unifying the divergent methodologies of this field of study, and to use this framework to study healthy muscle synergies on several activities of daily living: walking, sit-to-stand, stand-to-sit and knee flexion and extension. This was achieved by designing and implementing a cross-validated Non-Negative Matrix Factorization process and applying it to muscle electrical activity data. A preliminary study was undertaken to tune this configuration regarding cross-validating proportions, data structuring prior to factorization and evaluating criteria quantifying accuracy in modularity findings. Muscle synergies results were then investigated for different performing speeds to determine if their structure differed, and for consistency across subjects, to ascertain if a common set of muscle synergies underlay control on all subjects equally. Results revealed that the implemented framework was consistent in its ability to capture modularity (p < 0:05). The movements’ synergies also did not differ across the studied range of speeds (except one module in Knee Flexion) (p < 0:05). Additionally, a common set of muscle synergies was present across several subjects (p < 0:05), but shared commonality across every participant was only observed for the walking trials, for which much larger amounts of data were collected. Overall, the established framework is versatile and applicable for different lower-limb movements; muscle synergies findings for the examined movements may also be used as control references in assistive devices.As perturbações e traumas neurológicos afetam frequentemente a coordenação motora dos membros inferiores. Uma teoria recente em investigação neuromusculo-esquelética, denominada de sinergias musculares, tem demonstrado resultados promissores em soluções de assistência à população afetada por estes distúrbios. Esta teoria propõe que o Sistema Nervoso Central controla as tarefas motoras através de combinações variantes no tempo de módulos (ou sinergias), sendo que cada um representa a co-ativação de um grupo de músculos. No entanto, não existe nenhum processo uniformizante, empiricamente justificado para determinar sinergias musculares, porque os métodos de extração de sinergias variam muito na literatura. Para além disso, as publicações normalmente focam-se em análise da marcha, deixando uma lacuna de conhecimento em tarefas motoras do dia-a-dia, tais como sentar e levantar. O objetivo desta dissertação é o desenvolvimento de um processo robusto, genérico e empiricamente justificado de extração de sinergias em várias tarefas motoras, unindo as metodologias divergentes neste campo de estudo, e subsequentemente utilizar este processo para estudar sinergias musculares de sujeitos saudáveis em várias atividades do dia-a-dia: marcha, erguer-se de pé partir de uma posição sentada, sentar-se a partir de uma posição de pé e extensão e flexão do joelho. Isto foi alcançado através da implementação de um processo de cross-validated Non-Negative Matrix Factorization e subsequente aplicação em dados de atividade elétrica muscular. Um estudo preliminar foi realizado para configurar este processo relativamente às proporções de cross-validation, estruturação de dados antes da fatorização e seleção de critério que quantifique o sucesso da representação modular dos dados. Os resultados da extração de sinergias de diferentes velocidades de execução foram depois examinados no sentido de descobrir se este fator influenciava a estrutura dos módulos motores, assim como se semelhanças entre as sinergias de diferentes sujeitos apontavam para um conjunto comum de sinergias musculares subjacente ao controlo do movimento. Os resultados revelaram que o processo implementado foi consistente na sua capacidade de capturar a modularidade nos dados recolhidos (p < 0:05). As sinergias de todos os movimentos também não diferiram para toda a gama de velocidades estudada (exceto um módulo na flexão do joelho) (p < 0:05). Por fim, um conjunto comum de sinergias musculares esteve presente em vários sujeitos (p < 0:05), mas só esteve presente em todos os sujeitos de igual forma para a marcha, para a qual a quantidade de dados recolhida foi muito maior. Globalmente, o processo implementado é versátil e aplicável a diferentes movimentos dos membros inferiores; os resultados das sinergias musculares para os movimentos examinados podem também ser utilizado como referências de controlo para dispositivos de assistência

A Vector-Integration-to-Endpoint Model for Performance of Viapoint Movements

Viapoint (VP) movements are movements to a desired point that are constrained to pass through an intermediate point. Studies have shown that VP movements possess properties, such as smooth curvature around the VP, that are not explicable by treating VP movements as strict concatenations of simpler point-to-point (PTP) movements. Such properties have led some theorists to propose whole-trajectory optimization models, which imply that the entire trajectory is pre-computed before movement initiation. This paper reports new experiments conducted to systematically compare VP with PTP trajectories. Analyses revealed a statistically significant early directional deviation in VP movements but no associated curvature change. An explanation of this effect is offered by extending the Vector-Integration-To-Endpoint (VITE) model (Bullock and Grossberg, 1988), which postulates that voluntary movement trajectories emerge as internal gating signals control the integration of continuously computed vector commands based on the evolving, perceptible difference between desired and actual position variables. The model explains the observed trajectories of VP and PTP movements as emergent properties of a dynamical system that does not precompute entire trajectories before movement initiation. The new model includes a working memory and a stage sensitive to time-to-contact information. These cooperate to control serial performance. The structural and functional relationships proposed in the model are consistent with available data on forebrain physiology and anatomy.Office of Naval Research (N00014-92-J-1309, N00014-93-1-1364, N0014-95-1-0409

Are movement disorders and sensorimotor injuries pathologic synergies? When normal multi-joint movement synergies become pathologic

The intact nervous system has an exquisite ability to modulate the activity of multiple muscles acting at one or more joints to produce an enormous range of actions. Seemingly simple tasks, such as reaching for an object or walking, in fact rely on very complex spatial and temporal patterns of muscle activations. Neurological disorders such as stroke and focal dystonia affect the ability to coordinate multi-joint movements. This article reviews the state of the art of research of muscle synergies in the intact and damaged nervous system, their implications for recovery and rehabilitation, and proposes avenues for research aimed at restoring the nervous system’s ability to control movement