Analysis of voluntary finger movements during hand tasks by a motion analyzer

Nakamura, Masatoshi; Miyawaki, Chifumi; Matsushita, N; Yagi, Ryo; Handa, Yasunobu

doi:10.1016/s1050-6411(97)00040-0

Cited by 22 publications

(13 citation statements)

References 4 publications

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“…At the end of motion, they saw a different sequence compared with Arbuckle and McGrouther (1995): DIP finished prior to the PIP joint. Nakamura et al (1998) confirmed this finding in their study, which investigated motion of the thumb and index finger during precision grip. At the beginning of motion, they saw a sequence starting from the proximal to distal joints.…”

Section: Discussionsupporting

confidence: 61%

Dynamic aspects during the cylinder grip — flexion sequence of the finger joints analyzed using a sensor glove

Gülke

Gulkin

Wachter

et al. 2012

J Hand Surg Eur Vol

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The purpose of this study was to assess whether there is a universal pattern of movement of the finger joints while performing a cylinder grip. A sensor glove was used to record the finger joint motion of 48 participants. Our observations showed that when examining the fingers, flexion motion began either at the metacarpophalangeal (MP) or proximal interphalangeal (PIP) joints, with the distal interphalangeal (DIP) joints always last to move (p = 0.0052). The sequence of the joints at the end of the gripping motion was different than at the beginning. Here, the only statistically significant observation was that the DIP joints fully flexed only once the MP joints had flexed fully. Apart from that, it was completely variable which joint reached its final position first or last. The analysis also revealed that synchronization of four identical joints (i.e. the four PIP joints) was significantly higher than synchronization of the 12 finger joints. Although synchronization was already high at the beginning of the flexion motion, it increased significantly by the time the joints completed their movement.

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Section: Discussionsupporting

confidence: 61%

Dynamic aspects during the cylinder grip — flexion sequence of the finger joints analyzed using a sensor glove

Gülke

Gulkin

Wachter

et al. 2012

J Hand Surg Eur Vol

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“…Grinyagin et al 12 noticed for pinch grip, and Nakamura et al 2 for precision grip, that primary adjustment of grip size was achieved through the MCP joints. A limiting factor for the Grinyagin et al study is that only 6 subjects were analyzed, whereas Nakamura et al analyzed only MCP and PIP joints, leaving out the DIP joints.…”

Section: Discussionmentioning

confidence: 99%

“…Hahn et al 1 used ultrasound to show a linkage of the proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints in finger flexion through a constant relationship of the flexion angles. Nakamura et al 2 used a visually guided measuring device to show that the adjustment of grip size during precision grip is controlled by the metacarpophalangeal (MCP) joints, whereas flexion of the PIP joints remained stable. The authors did not consider DIP joints in their study, and the grips that were examined did not include all fingers.…”

mentioning

confidence: 99%

Motion Coordination Patterns During Cylinder Grip Analyzed With a Sensor Glove

Gülke

Wachter²,

Geyer³

et al. 2010

The Journal of Hand Surgery

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“…Motion coordination among long fingers (index to little finger) has been investigated in healthy subjects during unrestricted flexion/extension movements [16,17] and during object-grasping [18,19]. Analysis of temporal aspects of these multi-joints movements revealed the existence of task-specific motion coordination patterns between metacarpophalangeal joints (MCPJ) and proximal interphalangeal joints (IPJ) of digits 2-5.…”

Section: Introductionmentioning

confidence: 99%

Multi-finger coordination in healthy subjects and stroke patients: a mathematical modelling approach

Carpinella

Jonsdottir

Ferrarin

2011

Journal of NeuroEngineering and Rehabilitation

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BackgroundApproximately 60% of stroke survivors experience hand dysfunction limiting execution of daily activities. Several methods have been proposed to objectively quantify fingers' joints range of motion (ROM), while few studies exist about multi-finger coordination during hand movements. The present work analysed this aspect, by providing a complete characterization of spatial and temporal aspects of hand movement, through the mathematical modelling of multi-joint finger motion in healthy subjects and stroke patients.MethodsHand opening and closing movements were examined in 12 healthy volunteers and 14 hemiplegic stroke survivors by means of optoelectronic kinematic analysis. The flexion/extension angles of metacarpophalangeal (MCPJ) and proximal interphalangeal joints (IPJ) of all fingers were computed and mathematically characterized by a four-parameter hyperbolic tangent function. Accuracy of the selected model was analysed by means of coefficient of determination (R2) and root mean square error (RMSE). Test-retest reliability was quantified by intraclass correlation coefficient (ICC) and test-retest errors. Comparison between performances of healthy controls and stroke subjects were performed by analysing possible differences in parameters describing angular and temporal aspects of hand kinematics and inter-joint, inter-digit coordination.ResultsThe angular profiles of hand opening and closing were accurately characterized by the selected model, both in healthy controls and in stroke subjects (R2 > 0.973, RMSE < 2.0°). Test-retest reliability was found to be excellent, with ICC > 0.75 and remarking errors comparable to those obtained with other methods. Comparison with healthy controls revealed that hemiparetic hand movement was impaired not only in joints ROM but also in the temporal aspects of motion: peak velocities were significantly decreased, inter-digit coordination was reduced of more than 50% and inter-joint coordination patterns were highly disrupted. In particular, the stereotypical proximal-to-distal opening sequence (reversed during hand closing) found in healthy subjects, was altered in stroke subjects who showed abnormally high delay between IPJ and MCPJ movement or reversed moving sequences.ConclusionsThe proposed method has proven to be a promising tool for a complete objective characterization of spatial and temporal aspects of hand movement in stroke, providing further information for a more targeted planning of the rehabilitation treatment to each specific patient and for a quantitative assessment of therapy's outcome.

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Analysis of voluntary finger movements during hand tasks by a motion analyzer

Cited by 22 publications

References 4 publications

Dynamic aspects during the cylinder grip — flexion sequence of the finger joints analyzed using a sensor glove

Dynamic aspects during the cylinder grip — flexion sequence of the finger joints analyzed using a sensor glove

Motion Coordination Patterns During Cylinder Grip Analyzed With a Sensor Glove

Multi-finger coordination in healthy subjects and stroke patients: a mathematical modelling approach

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