Automated pressure map segmentation for quantifying phalangeal kinetics during cylindrical gripping. Issue 2 (February 2016)

• Record Type: Journal Article
• Authors: Sinsel, Erik W.; Gloekler, Daniel S.; Wimer, Bryan M.; Warren, Christopher M.; Wu, John Z.; Buczek, Frank L.
• Is Part Of: Medical engineering & physics. Volume 38:Issue 2(2016:Feb.)
• Page Start: 72
• Page End: 79
• Publication Date: 2016-02
• Subjects: Grip -- Hand -- Cylindrical handle -- Pressure distribution -- Pressure film; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2015.11.004
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: A fusion of hand kinematics and kinetics during gripping on a cylinder is proposed. The pressure film is kinematically calibrated in the laboratory volume. Segments of a 6DOF hand model are projected onto the pressure film to create ROIs. Forces and COP locations are calculated for use in inverse dynamics analyses of gripping. Abstract: Inverse dynamics models used to investigate musculoskeletal disorders associated with handle gripping require accurate phalangeal kinetics. Cylindrical handles wrapped with pressure film grids have been used in studies of gripping kinetics. We present a method fusing six degree-of-freedom hand kinematics and a kinematic calibration of a cylinder-wrapped pressure film. Phalanges are modeled as conic frusta and projected onto the pressure grid, automatically segmenting the pressure map into regions of interest (ROIs). To demonstrate the method, segmented pressure maps are presented from two subjects with substantially different hand length and body mass, gripping cylinders 50 and 70 mm in diameter. For each ROI, surface-normal force vectors were summed to create a reaction force vector and center of pressure location. Phalangeal force magnitudes for a data sample were similar to that reported in previous studies. To evaluate our method, a surrogate was designed for each handle such that when modeled as a phalanx it would generate a ROI around the cells under its supports; the classification F-score was above 0.95 for both handles. Both the human subject results and the surrogate evaluation suggest that the approach can be used to automatically segment the pressure map for quantifying phalangeal kinetics of the fingers during cylindrical gripping.