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Kuo, Li‐Chieh

https://orcid.org/0000-0002-5644-655X

Mayo Clinic

Medical Device Innovation Center

Citations 3

Development of a Smart Pen System for Analyzing Handwriting Behavior in Children Using Force and Magnetic Tracking Sensors
An, Kai‐Nan , Hsu, Chieh‐Hsiang , Kuo, Li‐Chieh , Lin, Yu‐Chen

2025 IEEE 14th Global Conference on Consumer Electronics (GCCE) | December 12, 2025 | Volume: No volume available | Issue: No issue available | Pages: 727-729

10.1109/gcce65946.2025.11275069 Get It

Effects of age and gender on the movement workspace of the trapeziometacarpal joint
Kuo, L-C, Cooney, W.P., An, K-N., Lai, K.Y., Wang, S-M, Su, Fong‐Chin , Kuo, Li‐Chieh , Kuo, L-C, Wang, S-M

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine | December 12, 2008 | Volume: 223 | Issue: 2 | Pages: 133-142

10.1243/09544119jeim489 Get It

While researchers have suggested that joint mobility would probably be affected by age and gender, research findings often present discrepancies. Little research has been performed on the factors which effect mobility of the trapeziometacarpal (TMC) joint. The purpose of this study was to address the effects of age and gender on the ranges of motion of the normal TMC joint. Eighty normal subjects divided into four age groups participated in this study. The TMC joint motions were recorded using an electromagnetic tracking system. In order to achieve a maximal range of TMC joint motion which was defined as the maximal workspace, each subject was asked to perform actively maximal circumduction, flexion—extension, and abduction—adduction of the TMC joint. Numerical and statistical methods were used to compute the TMC workspace and to detect significant differences. A workspace-to-length ratio was determined as an index to examine the effects of the age and gender on the joint mobility. The results demonstrated that age and gender had significant influences on the TMC workspace among the groups studied. The understanding of TMC joint mobility under different age and gender conditions is achieved through this study. The findings can be used to report clinical measures in the determination of the extent of impairment of osteoarthritis as well as the outcomes between pre- and post-surgical (or non-surgical) interventions.
A kinematic method to calculate the workspace of the trapeziometacarpal joint
Kuo, Li‐Chieh , Cooney, W.P., Chen, Qingshan , Kaufman, Kenton R. , Su, Fong‐Chin , An, Kai‐Nan, Kaufman, Kenton R

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine | April 6, 2004 | Volume: 218 | Issue: 2 | Pages: 143-149

10.1243/095441104322984031 Get It

The specific aim of this study was to develop a quantitative method and a kinematic method to evaluate the maximal workspace of the trapeziometacarpal (TM) joint. Six fresh-frozen human cadaver hands were disarticulated 4 cm proximal to the wrist joint and used in this experiment. The three-dimensional motion data of the TM joint was collected by an electromagnetic tracking device at 30 Hz. The workspace was reconstructed according to a complete set of motion data included circumduction, flexion-extension and abduction-adduction. A spherical fitting technique was used to obtain a sphere encompassing all the motion trajectories and estimating the centre of the sphere. The surface area of the maximal TM workspace, located on the one part of the sphere surface, was calculated by surface integration. The interclass correlation coefficient values for the reliability estimation of the repeated measurements of the radius and surface area of all specimens were 0.91 and 0.98 respectively. The mean coefficients of variance of the measured radius and the surface area were 2.04 per cent and 3.65 per cent respectively. The results also showed that using a spherical model to calculate the maximal workspace as an index for assessing TM joint impairment is practical.