Complete 3D kinematics of upper extremity functional tasks

Andel, Carolien J. van; Wolterbeek, Nienke; Doorenbosch, Caroline A.M.; Veeger, H.E.J.; Harlaar, Jaap

doi:10.1016/j.gaitpost.2007.03.002

Cited by 294 publications

(273 citation statements)

References 30 publications

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“…We have demonstrated that our protocol reproducibly examines motion of both the small and large joints of the upper extremity in combination. Prior studies, including our own, have demonstrated the ability to accurately perform motion analysis on the larger joints of the upper extremity with good intertrial reliability [3,19,23], whereas others have validated performing motion analysis on the hand alone [9,18,22]. In this study, we were able to appropriately address our primary aim by demonstrating that motion analysis of the entire hand and upper extremity may be performed concurrently and that we can reproducibly perform motion analysis during functional activities.…”

Section: Discussionmentioning

confidence: 84%

Functional Task Kinematics of the Thumb Carpometacarpal Joint

Luker¹,

Aguinaldo

Kenney³

et al. 2014

Clinical Orthopaedics &Amp; Related Research

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Background Abnormal biomechanical loading has been identified as an associated risk factor of osteoarthritis in the wrist and hand. Empirical data to date are insufficient to describe the role of altered biomechanics in thumb carpometacarpal (CMC) arthritis. Questions/purposes This is a pilot study to evaluate motion analysis of the upper extremity while performing functional tasks. We wished to describe the in vivo kinematics of the thumb and hand in relation to the larger joints of the upper extremity in subjects without arthritis in functional positions at rest and while loading the CMC joint. If reproducible, we then planned to compare kinematics between these subjects and a subject with advanced thumb CMC arthritis.

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Section: Discussionmentioning

confidence: 84%

Functional Task Kinematics of the Thumb Carpometacarpal Joint

Luker¹,

Aguinaldo

Kenney³

et al. 2014

Clinical Orthopaedics &Amp; Related Research

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“…These values are the results of structured interviews with physicians, therapists and human movement scientists in the Netherlands. The values for range of motion are compatible with three of the four main categories of movements for activities in daily living [221,215]: touching the contralateral shoulder, touching the mouth (drinking), and touching the head (combing hair); however, the fourth category-moving the hand to the back pocket-is just out of reach. Inherent safety is achieved by having controlled resistance instead of active assistance.…”

Section: Usability In Rehabilitation Therapysupporting

confidence: 52%

Development of novel devices for upper-extremity rehabilitation

Stienen¹

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S U M M A R YThe goal of this dissertation was to improve rehabilitation robots by developing new patient-friendly devices which can assist therapists in the rehabilitation of neurological movement disorders of the upper extremities, such as hemiparetic stroke. In all, three novel rehabilitation devices were developed. Given the changing demographics of developed nations, over the next two decades fewer therapists will be available to treat an increasing number of stroke patients. With patient-friendly robots assisting therapists, proven therapeutic exercises can be automated and new and better targeted interventions developed and tested. In addition to facilitating therapy sessions, robots can provide objective measurement of impairment. Overall, robots can make therapy more productive for patients and less labor-intensive for therapists, and provide physicians, therapists and the scientific community with more objective data.To handle the wide range of impairments found in hemiparetic stroke patients, multiple devices are needed. Mildly impaired patients may have a near-normal range of motion, but have problems with fine motor control or moving heavier objects. Severely affected patients may not be able to even lift the weight of their own arm. Despite these differences, certain general strategies appear to work best. First and foremost, rehabilitation therapy works best when the patient is actively and intensively involved. Exercises should use repetitive movements that closely resemble those used in daily living for best results in reshaping the recovering brain.Studying motor learning in healthy subjects supported the need for active patient involvement. Given the artificial motor relearning task of moving in a visuomotor-rotated field, the healthy subject fully adapted when he could freely make, and correct, errors in their movement execution. On the other hand, active delivery of a passive hand to the targets resulted in much less and much slower adaptation. In between lay the adaptation achieved with hard and soft guidance of the hand over virtual tracks. The conclusion is that both minimization of execution errors and control effort drive kinematical adaptation in a novel visuomotor task, but the latter occurs at a much slower rate.Should the patient not be assisted at all? Perhaps the type of assistance is important. For instance, weight support of the arm facilitates movement, but movement initialization and control are left unchanged. Most rehabilitation devices for upper extremities include some form of weight support. An analysis of these devices concluded that weight support is most easily realized through a cablesuspension system that supports the arm via slings. However, the best possible solution for weight support depends on the primary design of the device. Careful upfront consideration of various design options will lead to better choices.The first rehabilitation device was designed using this knowledge. The Freebal is a dedicated weight-support system that is less complex and has less movem...

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“…The tridimensional analysis is an important tool for making clinical decisions about the adopted therapeutic technique [16][17] . However, it is often not available as a routine evaluation, unlike MACS, which represents a clinical scale that is easy to apply and does not require previous training 5 .…”

Section: Discussionmentioning

confidence: 99%

Correlation between temporal-spatial parameters and manual ability of adults with dyskinetic cerebral palsy

et al. 2014

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| The aim of this study was to verify relation between kinematic variables of temporal-spatial parameters and manual ability and between own temporal-spatial variables during the movement of bring a mug to the mouth in adults with dyskinetic cerebral palsy (DCP). Sixteen adults with DCP were evaluated by MACS (Manual Ability Classification System), and by temporal-spatial variables of tridimensional kinematics of the movement to bring a bug to the mouth by means of 9 cameras infra-red Vicon ® MX 40 (Oxford Metrics Group, Oxford, UK). The Spearman correlation coefficient (ρ) was used to correlate variables. As a result, we found weak correlation between the classification of manual ability and the adjusting phase (ρ=0.219), the velocity variables − average velocity (ρ=-0.313), peak velocity (ρ=-0.282) and time to peak velocity (ρ=-0.250).No correlation was found between the variables going and returning phase and MACS. Moderate correlation was found between going and returning phase (ρ=0.559), between the going phase and time to peak velocity (ρ=0.518) and between the adjusting phase and peak velocity (ρ=-0.562). A strong correlation was found between the mean velocity and peak velocity (ρ=0.947) and between the adjusting phase and average velocity (ρ=-0.635).In conclusion, functional impairment may be related to longer adjusting phase and decrease of movement speed in subjects with PCD. Kinematic variables were related toCorrelation between temporal-spatial parameters and manual ability of adults with dyskinetic cerebral palsy each other in moderate and strong way and indicated that the phases runtime influences the movement speed.

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Complete 3D kinematics of upper extremity functional tasks

Cited by 294 publications

References 30 publications

Functional Task Kinematics of the Thumb Carpometacarpal Joint

Functional Task Kinematics of the Thumb Carpometacarpal Joint

Development of novel devices for upper-extremity rehabilitation

Correlation between temporal-spatial parameters and manual ability of adults with dyskinetic cerebral palsy

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