Quantifying thumb rotation during circumduction utilizing a video technique

Coert, J. Henk; Dijke, G. A. Hoek van; Hovius, S.E.R.; Snijders, Chris J.; Meek, Marcel F.

doi:10.1016/s0736-0266(03)00114-1

Cited by 37 publications

(39 citation statements)

References 21 publications

(28 reference statements)

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“…The circumduction rotation of the thumb is the movement required to alternate between a lateral grasp and a power or precision grasp. An analysis of human hand kinematics shows an average circumduction motion of 90.2°, which is achieved through a combination of three joints at the base of the thumb [40]. As can be seen in Tables 2 and 9, the circumduction axis of current hands is not always oriented parallel with the wrist rotation axis.…”

Section: Thumb Kinematicsmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical design and performance specifications of anthropomorphic prosthetic hands: A review

Belter

Segil²,

Dollar³

et al. 2013

JRRD

586

408

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Abstract-In this article, we set forth a detailed analysis of the mechanical characteristics of anthropomorphic prosthetic hands. We report on an empirical study concerning the performance of several commercially available myoelectric prosthetic hands, including the Vincent, iLimb, iLimb Pulse, Bebionic, Bebionic v2, and Michelangelo hands. We investigated the finger design and kinematics, mechanical joint coupling, and actuation methods of these commercial prosthetic hands. The empirical findings are supplemented with a compilation of published data on both commercial and prototype research prosthetic hands. We discuss numerous mechanical design parameters by referencing examples in the literature. Crucial design trade-offs are highlighted, including number of actuators and hand complexity, hand weight, and grasp force. Finally, we offer a set of rules of thumb regarding the mechanical design of anthropomorphic prosthetic hands.

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Section: Thumb Kinematicsmentioning

confidence: 99%

“…The coupling can also help the timing of the grasp if all of the fingers are actuated simultaneously. Further discussion of the role of the thumb circumduction axis can be found in other reviews [1,21,23,40].…”

Section: Thumb Kinematicsmentioning

confidence: 99%

Mechanical design and performance specifications of anthropomorphic prosthetic hands: A review

Belter

Segil²,

Dollar³

et al. 2013

JRRD

586

408

View full text Add to dashboard Cite

show abstract

“…Thus, the functional joint axes should correspond to joint variable sequences with small variation of θ 2 values. The second aspect is that the FE RoM is generally larger than the AA RoM for unimpaired CMC joints [5], [6]. Finally, the FE axis fixed in the hand frame is proximal to the AA axis fixed in the thumb metacarpal frame due to the saddle joint geometry between the metacarpal and trapezium bones [3], [4], [11], [13].…”

Section: Optimization Cost Metricmentioning

confidence: 99%

“…Cooney et al [5] also determined the orientation of in vitro CMC axes from the ridges of the trapezium bone surface in cadaver hands, and these results reported with respect to the hand dorsum provide a single constant model of the axis orientations to subsequently measure in vivo CMC mobility. Noninvasive techniques proposed by Coert et al [6] and Zhang et al [7] evaluate thumb circumduction based on the observed motion of the thumb segments, without determining a kinematic model for the CMC axes. In contrast, Chèze et al [8] and Cerveri et al [9] have developed techniques for estimation of the in vivo CMC axes from isolated thumb movements such as circumduction and flexion-extension (FE).…”

Section: Introductionmentioning

confidence: 99%

Method for Determining Kinematic Parameters of theIn VivoThumb Carpometacarpal Joint

Chang

Pollard

2008

IEEE Trans. Biomed. Eng.

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Abstract-The mobility of the thumb carpometacarpal (CMC) joint is critical for functional grasping and manipulation tasks. We present an optimization technique for determining from surface marker measurements a subject-specific kinematic model of the in vivo CMC joint that is suitable for measuring mobility. Our anatomy-based cost metric scores a candidate joint model by the plausibility of the corresponding joint angle values and kinematic parameters rather than only the marker trajectory reconstruction error. The proposed method repeatably determines CMC joint models with anatomically-plausible directions for the two dominant rotational axes and a lesser range of motion (RoM) for the third rotational axis. We formulate a low-dimensional parameterization of the optimization domain by first solving for joint axis orientation variables that then constrain the search for the joint axis location variables. Individual CMC joint models were determined for 24 subjects. The directions of the flexion-extension (FE) axis and adduction-abduction (AA) axis deviated on average by 9• and 22• , respectively, from the mean axis direction. The average RoM for FE, AA, and pronation-supination (PS) joint angles were 76• , 43• , and 23• for active CMC movement. The mean separation distance between the FE and AA axes was 4.6 mm, and the mean skew angle was 87• from the positive flexion axis to the positive abduction axis.

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“…Recently, noninvasive, marker-based video methods have been used to study advanced kinematic features thus providing a more accurate representation of thumb motion. 2,[8][9][10][11] Marker-based motion analyses were applied to study thumb pathokinematics in individuals with cervical myelopathy 12 and lower median nerve block; 13 the authors reported aberrant thumb kinematics during pinch movements.…”

mentioning

confidence: 99%

Complex, multidimensional thumb movements generated by individual extrinsic muscles

Tang

Chakan

et al. 2008

Journal Orthopaedic Research

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The objective of this study was to investigate three-dimensional thumb joint movements produced by individual extrinsic thumb muscles. Ten cadaveric arms were dissected to expose the musculotendinous junctions of the flexor pollicis longus (FPL), abductor pollicis longus (APL), extensor pollicis brevis (EPB), and extensor pollicis longus (EPL). Each muscle/tendon was loaded to 10% of its maximal force capability whereas three-dimensional angular movements of the carpometacarpal (CMC), metacarpophalangeal (MCP), and interphalangeal (IP) joints were obtained simultaneously. We found that each extrinsic muscle produced unique joint angular trajectories in multiple directions. The FPL, APL, EBP, and EPL generated two, two, three, and six movements, respectively. The extrinsic muscles all together generated eight movements among the multiple thumb joints. High interjoint coordination was shown between the MCP joint flexion and IP joint flexion by FPL loading, as well as between the MCP joint extension and IP joint extension by EPL loading. High intrajoint coordination was observed between extension and supination at the CMC joint by the APL, EPL, and EPB. We concluded that each muscle produces movements in multiple joints and/or in multiple anatomical directions. The findings provide a novel insight into the biomechanical roles of the extrinsic muscles of the thumb. The human thumb is exceptionally mobile, strong, and dexterous partially due to its sophisticated musculature. Kinematically, thumb motion results from complicated combinations of flexion/extension, abduction/ adduction, and pronation/supination (i.e., axial rotation) at the carpometacarpal (CMC), metacarpophalangeal (MCP), and interphalangeal (IP) joints. 1,2 The movement capability of the thumb was previously determined by measuring the linear distance between the thumb tip and the fingertips or other anatomical landmarks, 3,4 but thumb pathology can be characterized by examining the angular motion at the individual joints. Manual goniometry is commonly used in the clinic to evaluate statically joint mobility in a single plane. Electrogoniometers can be used to monitor dynamic joint motion, 5 but they can be too bulky to record simultaneous movements from multiple joints within the thumb and can interfere with delicate thumb movements. X-rays, 1,6 and CT 7 have been used to study in vivo thumb kinematics, but the amount of kinematic information is limited. Recently, noninvasive, marker-based video methods have been used to study advanced kinematic features thus providing a more accurate representation of thumb motion. 2,[8][9][10][11] Marker-based motion analyses were applied to study thumb pathokinematics in individuals with cervical myelopathy 12 and lower median nerve block; 13 the authors reported aberrant thumb kinematics during pinch movements.Thus far, our understanding of thumb motion by each muscle remains dominated by basic functional anatomy using unidirectional, simplified nomenclature such as flexors or extensors. Therefore, this ...

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Quantifying thumb rotation during circumduction utilizing a video technique

Cited by 37 publications

References 21 publications

Mechanical design and performance specifications of anthropomorphic prosthetic hands: A review

Mechanical design and performance specifications of anthropomorphic prosthetic hands: A review

Method for Determining Kinematic Parameters of theIn VivoThumb Carpometacarpal Joint

Complex, multidimensional thumb movements generated by individual extrinsic muscles

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