Biomechanics of reaching: clinical implications for individuals with acquired brain injury

McCrea, Patrick H.; Eng, Janice J.; Hodgson, Antony J.

doi:10.1080/09638280110115393

Cited by 128 publications

(103 citation statements)

References 62 publications

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“…The FM Motor Performance Assessment has been used as a clinical and research tool for evaluating changes in motor impairment following stroke [31]. It has also been used to measure motor capabilities of persons recovering from other neurologic disorders, including TBI [37][38][39]. We used the UL portion of the FM Motor Performance Assessment (total UL score ranged from 0 to 66, based on a score of 0, 1, or 2 for each of the 33 test items).…”

Section: Outcome Measuresmentioning

confidence: 99%

Constraint-induced movement therapy for recovery of upper-limb function following traumatic brain injury

Shaw

Morris

Uswatte

et al. 2005

JRRD

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Abstract-A volunteer sample of 22 participants with chronic traumatic brain injury (TBI) (onset >1 year) and relative hemiplegia that revealed moderate disability in the more-affected upper limb (UL) participated. Constraint-induced (CI) movement therapy (CI therapy) was employed for a 2-week period; treatments included massed practice, shaping of the moreaffected UL, behavioral contracts, and other behavioral techniques for affecting transfer to a real-world setting. We used the Wolf Motor Function Test, the Fugl-Meyer Motor Performance Assessment, and the Motor Activity Log to measure outcomes. All outcome measures improved significantly as a result of the intervention. More-adherent participants had more improvement compared with less-adherent participants. These preliminary results suggest that CI therapy may be effective for improving UL motor function following chronic TBI.

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Section: Outcome Measuresmentioning

confidence: 99%

Constraint-induced movement therapy for recovery of upper-limb function following traumatic brain injury

Shaw

Morris

Uswatte

et al. 2005

JRRD

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“…Some researchers [9,21,23,30] have studied upper extremity movements, but they have evaluated the movements on a ''coarse-grained'' basis. To understand how aging affects movements, it is necessary to perform ''fine-grained'' analysis and study specific and minor changes in motoric expressions.…”

Section: Introductionmentioning

confidence: 99%

Analyzing motoric and physiological data in describing upper extremity movement in the aged

Pradhan

Nadin

Prabhakaran

2010

Univ Access Inf Soc

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Cognitive functions, motoric expression, and changes in physiology are often studied separately, with little attention to the relationships or correlations among them. The study presented in this paper implements an integrated approach by combining motion capture (action) and EMG (physiological) parameters as synchronized data streams resulting from the action and associated physiological data. The reported experiments were designed to measure the preparatory movement capabilities of the upper extremities. In particular, measurement of changes in preparatory activity during the aging process is of interest in this context, as the attempt is to develop means to compensate for loss of adaptive capabilities that aging entails. To achieve this goal, it is necessary to quantify preparation phases (timing and intensity). Motion capture and EMG parameters were measured when subjects raised their arms without constraint (condition one) and raised their arms while holding a ball (second condition). Furthermore, on comparing aging and young participants, it was confirmed that with aging the temporal relationships between actual movement and the preceding EMG signal change.

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“…Besides, clinical tests are highly dependent on the examiner criteria. Further development of reliable and valid multi-joint biomechanical evaluations is required, particularly for goal oriented reaching movements (McCrea, Eng, & Hodgson, 2002). The lack of standardized protocols due to the large variety of movements, complexity of the upper extremity and lack of international consensus to validate the protocols hampered the advance on this area (van Andel, Wolterbeek, Doorenbosch, Veeger, & Harlaar, 2008).…”

Section: Research Contextmentioning

confidence: 99%

Inverse kinematics of a 6 DoF human upper limb using ANFIS and ANN for anticipatory actuation in ADL-based physical Neurorehabilitation

Pérez‐Rodríguez

Marcano-Cedeño

Costa

et al. 2012

Expert Systems with Applications

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Objective: This research is focused in the creation and validation of a solution to the inverse kinematics problem for a 6 degrees of freedom human upper limb. This system is intended to work within a realtime dysfunctional motion prediction system that allows anticipatory actuation in physical Neurorehabilitation under the assisted-as-needed paradigm. For this purpose, a multilayer perceptron-based and an ANFIS-based solution to the inverse kinematics problem are evaluated. Materials and methods: Both the multilayer perceptron-based and the ANFIS-based inverse kinematics methods have been trained with three-dimensional Cartesian positions corresponding to the end-effector of healthy human upper limbs that execute two different activities of the daily life: 'serving water from a jar' and 'picking up a bottle'. Validation of the proposed methodologies has been performed by a 10 fold cross-validation procedure. Results: Once trained, the systems are able to map 3D positions of the end-effector to the corresponding healthy biomechanical configurations. A high mean correlation coefficient and a low root mean squared error have been found for both the multilayer perceptron and ANFIS-based methods. Conclusions:The obtained results indicate that both systems effectively solve the inverse kinematics problem, but, due to its low computational load, crucial in real-time applications, along with its high performance, a multilayer perceptron-based solution, consisting in 3 input neurons, 1 hidden layer with 3 neurons and 6 output neurons has been considered the most appropriated for the target application.

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Biomechanics of reaching: clinical implications for individuals with acquired brain injury

Cited by 128 publications

References 62 publications

Constraint-induced movement therapy for recovery of upper-limb function following traumatic brain injury

Constraint-induced movement therapy for recovery of upper-limb function following traumatic brain injury

Analyzing motoric and physiological data in describing upper extremity movement in the aged

Inverse kinematics of a 6 DoF human upper limb using ANFIS and ANN for anticipatory actuation in ADL-based physical Neurorehabilitation

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