Motion representation of the long fingers: a proposal for the definitions of new anatomical frames.

Despite the availability of the International Society of Biomechanics (ISB) recommendations for the orientation of anatomical frames, no consensus exists about motion representations related to finger kinematics. This paper proposes novel anatomical frames for motion representation of the phalangeal segments of the long fingers. A three-dimensional model of a human forefinger was acquired from a non-pathological fresh-frozen hand. Medical imaging was used to collect phalangeal discrete positions. Data processing was performed using a customized software interface ("lhpFusionBox") to create a specimen-specific model and to reconstruct the discrete motion path. Five examiners virtually palpated two sets of landmarks. These markers were then used to build anatomical frames following two methods: a reference method following ISB recommendations and a newly-developed method based on the mean helical axis (HA). Motion representations were obtained and compared between examiners. Virtual palpation precision was around 1mm, which is comparable to results from the literature. The comparison of the two methods showed that the helical axis method seemed more reproducible between examiners especially for secondary, or accessory, motions. Computed Root Mean Square distances comparing methods showed that the ISB method displayed a variability 10 times higher than the HA method. The HA method seems to be suitable for finger motion representation using discrete positions from medical imaging. Further investigations are required before being able to use the methodology with continuous tracking of markers set on the subject's hand.

[1]  K Soudan,et al.  Exact knowledge of knee motion kinematics as a basis for well-designed knee prostheses : the instant axis concept. , 1980, Acta orthopaedica Belgica.

[2]  Ren G Dong,et al.  Modeling the finger joint moments in a hand at the maximal isometric grip: the effects of friction. , 2009, Medical engineering & physics.

[3]  S. Laporte,et al.  Rotations of three-joint fingers: a radiological study , 2004, Surgical and Radiologic Anatomy.

[4]  Marco Viceconti,et al.  Virtual palpation of skeletal landmarks with multimodal display interfaces , 2007, Medical informatics and the Internet in medicine.

[5]  J. Clarys,et al.  Measurement of three-dimensional intra-articular kinematics: methodological and interpretation problems , 2005, Ergonomics.

[6]  E. Chao,et al.  Justification of triaxial goniometer for the measurement of joint rotation. , 1980, Journal of biomechanics.

[7]  Ren G Dong,et al.  Analysis of musculoskeletal loading in an index finger during tapping. , 2008, Journal of biomechanics.

[8]  Paul W. Brand,et al.  Clinical mechanics of the hand , 1985 .

[9]  S. Van Sint Jan,et al.  Modern visualisation tools for research and education in biomechanics , 2004 .

[10]  A Leardini,et al.  Position and orientation in space of bones during movement: anatomical frame definition and determination. , 1995, Clinical biomechanics.

[11]  Alberto Leardini,et al.  Multimod Data Manager: A tool for data fusion , 2007, Comput. Methods Programs Biomed..

[12]  Serge Van Sint Jan,et al.  Identifying the location of human skeletal landmarks: Why standardized definitions are necessary - A proposal , 2005 .

[13]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[14]  S Van Sint Jan,et al.  Registration of 6-DOFs electrogoniometry and CT medical imaging for 3D joint modeling. , 2002, Journal of biomechanics.

[15]  David G Lloyd,et al.  Repeatability of gait data using a functional hip joint centre and a mean helical knee axis. , 2003, Journal of biomechanics.

[16]  H. Woltring 3-D attitude representation of human joints: a standardization proposal. , 1994, Journal of biomechanics.

[17]  E S Grood,et al.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. , 1983, Journal of biomechanical engineering.

[18]  M Rooze,et al.  Precision of shoulder anatomical landmark calibration by two approaches: a CAST-like protocol and a new anatomical palpator method. , 2009, Gait & posture.

[19]  H J Woltring,et al.  Instantaneous helical axis estimation from 3-D video data in neck kinematics for whiplash diagnostics. , 1994, Journal of biomechanics.

[20]  S. Van Sint Jan,et al.  Joint kinematics simulation from medical imaging data , 1997, IEEE Transactions on Biomedical Engineering.

[21]  L Claes,et al.  Correction of axis misalignment in the analysis of knee rotations. , 2003, Human movement science.

[22]  G L Kinzel,et al.  Measurement of the total motion between two body segments. II. Description of application. , 1972, Journal of biomechanics.

[23]  W P Cooney,et al.  Stability and constraint of the proximal interphalangeal joint. , 1993, The Journal of hand surgery.

[24]  Kai-Nan An,et al.  Modeling of the muscle/tendon excursions and moment arms in the thumb using the commercial software anybody. , 2009, Journal of biomechanics.

[25]  J Biggs,et al.  A three-dimensional kinematic model of the human long finger and the muscles that actuate it. , 1999, Medical engineering & physics.

[26]  Gordon Clapworthy,et al.  Modern visualisation tools for research and education in biomechanics , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

[27]  N. Fowler,et al.  Method of determination of three dimensional index finger moment arms and tendon lines of action using high resolution MRI scans. , 2001, Journal of biomechanics.

[28]  K. An,et al.  Kinematics of the proximal interphalangeal joint of the finger after surface replacement. , 2000, The Journal of hand surgery.