The validity of using a video-based motion analysis system for measuring maximal area of fingertip motion and angular variation

Abstract The aim of the study was to verify the application of a three-dimensional video motion analysis system to evaluate maximal fingertip motion area and angular variation of the hand by comparison and correlation with videofluoroscopic analysis. Eight normal subjects were recruited in this study. The maximal motion area of the fingertip and the angles of the metacarpal phalangeal (MP), proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints in performing five sequential postures for functional evaluation of the hand were measured using a video motion analysis system and a fluoroscopy system respectively. The results indicated that the intraclass correlation coefficient (ICC) of the calculated maximal fingertip motion area between the two methods was 0.9597. The ICC for total active motion (TAM) measurements of three finger joints was 0.940 between the surface and bony landmarks by fluoroscopy, 0.952 between the surface landmarks from fluoroscopy and motion analysis, and 0.927 between the bony landmark from fluoroscopy and surface markers from motion analysis. The ICC for angular measurements between three different paired assessments was 0.9650, 0.8896 and 0.8799 for the MP, PIP and DIP joints respectively. The results indicate that motion analysis is a practical method for assessing impairment of the hand.

[1]  H Y Chiu A Method of two-Dimensional Measurement for Evaluating Finger Motion Impairment , 1995, Journal of hand surgery.

[2]  P. Paslay,et al.  Determination of finger-motion impairment by linear measurement. Description of method and comparison with angular measurement. , 1974, The Journal of bone and joint surgery. American volume.

[3]  H. Chiu,et al.  The Motion Analysis System and The Maximal Area of Fingertip Motion , 1996, Journal of hand surgery.

[4]  J. W. Strickland,et al.  Results of flexor tendon surgery in zone II. , 1985, Hand clinics.

[5]  A B Swanson,et al.  Evaluation of impairment in the upper extremity. , 1987, The Journal of hand surgery.

[6]  G S Rash,et al.  The motion path of the digits. , 1998, The Journal of hand surgery.

[7]  G N Malaviya,et al.  Finger Dynamography , 1993, Journal of hand surgery.

[8]  B M Hillberry,et al.  Finger joint force minimization in pianists using optimization techniques. , 1993, Journal of biomechanics.

[9]  F. Su,et al.  The Motion Analysis System and the Fingertip Motion Area , 1998, Journal of hand surgery.

[10]  G N Malaviya,et al.  Evaluation of Methods of Claw Finger Correction Using the Finger Dynamography Technique , 1993, Journal of hand surgery.

[11]  G S Rash,et al.  A demonstration of validity of 3-D video motion analysis method for measuring finger flexion and extension. , 1999, Journal of biomechanics.

[12]  H. Hsu,et al.  The Motion Analysis System and Goniometry of the Finger Joints , 1998, Journal of hand surgery.

[13]  K. J. Cole,et al.  Coordination of index finger movements. , 1994, Journal of biomechanics.

[14]  J. Boyes Evaluation of results of digital flexor tendon grafts. , 1955, American journal of surgery.

[15]  M. Wachowiak,et al.  The Initiation and Sequence of Digital Joint Motion , 1998, Journal of hand surgery.

[16]  C D Mote,et al.  A method of measuring fingertip loading during keyboard use. , 1994, Journal of biomechanics.

[17]  A Breen,et al.  An image processing method for spine kinematics-preliminary studies. , 1988, Clinical biomechanics.

[18]  F J Bejjani,et al.  Analysis of upper-extremity performance in athletes and musicians. , 1990, Hand clinics.