Quantifying Forearm Soft Tissue Motion from Massless Skin Markers following Forward Fall Hand Impacts

Danielle L. Gyemi, Don Clarke, Paula M. van Wyk, William J. Altenhof, David M. Andrews

Abstract


Background: Investigating soft tissue motion related to impact events is important for understanding how the body mitigates potentially injurious forces through shock attenuation. Objectives: The aims of this study were to: 1) quantify displacement and velocity of the forearm soft tissues following forward fall impacts; and 2) compare two massless skin marker designs (single layer, uniform (SLU) design; stacked, non-uniform (SNU) design) in terms of how well they could be tracked over varying skin pigmentations using automated motion capture software. Methods: Two participant groups (skin pigmentation: light – 9F, 8M; dark – 9F, 6M) underwent simulated forward fall hand impacts for each marker design using a torso-release apparatus. Marker positions associated with planar motion of forearm soft tissues during impact were automatically tracked (ProAnalyst®) in the proximal-distal and anterior-posterior axes from high speed recordings (5000 f/s). Mean peak displacements and velocities for eight forearm regions were then calculated (LabVIEW®). Results: Overall, soft tissue displacement and velocity increased from distal to proximal forearm regions. The greatest displacement (1.47 cm) and velocity (112.8 cm/s) occurred distally toward the wrist. Soft tissue impact responses between sexes did not differ, on average (p > 0.05). The SLU and SNU markers produced different kinematic values (p < 0.05); however, the magnitudes of, and consequently meaningfulness of these statistical differences for automatically tracking soft tissue motion, were negligible (displacement: ≤ 0.05 cm; velocity: ≤ 2.5 cm/s). Conclusions: Forearm soft tissue motion was successfully quantified for forward fall hand impacts; both marker designs were deemed functionally equivalent.

Keywords


Upper Extremity, Forearm, Accidental Falls, Biomechanical Phenomena, Pattern Recognition, Automated

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References


Akbarshahi, M., Schache, A., Fernandez, J., Baker, R., Banks, S., & Pandy, M. (2010). Non-invasive assessment of soft-tissue artifact and its effect on knee joint kinematics during functional activity. Journal of Biomechanics, 43(7), 1292-1301.

Baumgartner, R. N. (2000). Body composition in healthy aging. Annals of the New York Academy of Sciences, 904, 437-448.

Brydges, E. A., Burkhart, T. A., Altenhof, W. J., & Andrews, D. M. (2015). Leg soft tissue position and velocity data from skin markers can be obtained with good to acceptable reliability following heel impacts. Journal of Sports Sciences, 33(15), 1606-1613.

Burkhart, T. A., & Andrews, D. M. (2010a). Activation level of extensor carpi ulnaris affects wrist and elbow acceleration responses following simulated forward falls. Journal of Electromyography and Kinesiology, 20(6), 1203-1210.

Burkhart, T. A., & Andrews, D. M. (2010b). The effectiveness of wrist guards for reducing wrist and elbow accelerations resulting from simulated forward falls. Journal of Applied Biomechanics, 26(3), 281-292.

Burkhart, T. A., Andrews, D. M., & Dunning, C. E. (2012). Failure characteristics of the isolated distal radius in in response to dynamic impact loading. Journal Orthopaedic Research, 30(6), 885-892.

Burkhart, T. A., Quenneville, C. E., Dunning, C. E., & Andrews, D. M. (2014). Development and validation of a distal radius finite element model to simulate impact loading indicative of a forward fall. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 228(3), 258-271.

Choi W. J., & Robinovitch, S. N. (2011). Pressure distribution over the palm region during forward falls on the outstretched hands. Journal of Biomechanics, 44(3), 532-539.

Cole, G. K., Nigg, B. M., van den Bogert, A. J., & Gerritsen, K. G. M. (1996). Lower extremity joint loading during impact in running. Clinical Biomechanics, 11(4), 181-193.

Crammond, G., Boyd, S. W., & Dulieu-Barton, J. M. (2013). Speckle pattern quality assessment for digital image correlation. Optics and Lasers in Engineering, 51(12), 1368-1378.

DeGoede, K. M., & Ashton-Miller, J. A. (2002a). Fall arrest strategy affects peak hand impact force in a forward fall. Journal of Biomechanics, 35(6), 843-848.

DeGoede, K. M., Ashton-Miller, J. A., Schultz, A. B., & Alexander, N. B. (2002b). Biomechanical factors affecting the peak hand reaction force during the bimanual arrest of a moving mass. Journal of Biomechanical Engineering, 124(1), 107-112.

Fitzpatrick, T. B. (1988). The validity and practicality of sun reactive skin types I through VI. Archives of Dermatology, 124(6), 869-871.

Fuller, J., Liu, L., Murphy, M., & Mann, R. (1997). A comparison of lower-extremity skeletal kinematics measured using skin- and pin-mounted markers. Human Movement Science, 16(2-3), 219-242.

Gao, B., & Zheng, N. (2008). Investigation of soft tissue movement during level walking: translations and rotations of skin markers. Journal of Biomechanics, 41(15), 3189-3195.

Gittoes, M. J., Brewin, M. A., & Kerwin, D. G. (2006). Soft tissue contributions to impact forces simulated using a four-segment wobbling mass model of forefoot–heel landings. Human Movement Science, 25(6), 775-787.

Greenwald, R. M., Janes, P. C., Swanson, S. C., & McDonald, T. R. (1998). Dynamic impact response of human cadaveric forearms using a wrist brace. American Journal of Sports Medicine, 26(6), 825-830.

Gruber, K., Ruder, H., Denoth, J., & Schneider, K. (1998). A comparative study of impact dynamics: wobbling mass model versus rigid body models. Journal of Biomechanics, 31(5), 439-444.

Haddadi, H., & Belhabib, S. (2008). Use of rigid-body motion for the investigation and estimation of the measurement errors related to digital image correlation technique. Optics and Lasers in Engineering, 46(2), 185-196.

Hwang, I. K., Kim, K. J., Kaufman, K. R., Cooney, W. P., & An, K. N. (2006). Biomechanical efficiency of wrist guards as a shock isolator. Journal of Biomechanical Engineering, 128(2), 229-234.

Idzikowski, J. R., Janes, P. C., & Abbott, P. J. (2000). Upper extremity snowboarding injuries. Ten-year results from the Colorado snowboard injury survey. American Journal of Sports Medicine, 28(6), 825-832.

Kim, K. J., & Ashton-Miller, J. A. (2003). Biomechanics of fall arrest using the upper extremity: Age differences. Clinical Biomechanics (Bristol, Avon), 18(4), 311-318.

Kuo, M. Y., Tsai, T. Y., Lin, C. C., Lu, T. W., Hsu, H. C., & Shen, W. C. (2011). Influence of soft tissue artifacts on the calculated kinematics and kinetics of total knee replacements during sit-to-stand. Gait & Posture, 33(3), 379-384.

Laing, A. C., & Robinovitch, S. N. (2009). Low stiffness floors can attenuate fall-related femoral impact forces by up to 50% without substantially impairing balance in older women. Accident; Analysis and Prevention, 41(3), 642-650.

Lattimer, L. J., Lanovaz, J. L., Farthing, J. P., Madill, S., Kim, S., & Arnold, C. (2016). Upper limb and trunk muscle activation during an unexpected descent on the outstretched hands in young and older women. Journal of Electromyography and Kinesiology, 30, 231-237.

Lattimer, L. J., Lanovaz, J. L., Farthing, J. P., Madill, S., Kim, S., Robinovitch, S., & Arnold, C. (2017). Female age-related differences in biomechanics and muscle activity during descents on the outstretched arms. Journal of Aging and Physical Activity, 25(3), 474-481.

Leardini, A., Chiari, L., Croce, U., & Cappozzo, A. (2005). Human movement analysis using stereophotogrammetry: Part 3. Soft tissue artifact assessment and compensation. Gait & Posture, 21(2), 212-225.

Luebberding, S., Krueger, N., & Kerscher, M. (2014). Mechanical properties of human skin in vivo: a comparative evaluation in 300 men and women. Skin Research and Technology, 20(2), 127-135.

Manal, K. K., McClay Davis, I. I., Galinat, B. B., & Stanhope, S. S. (2003). The accuracy of estimating proximal tibial translation during natural cadence walking: bone vs. skin mounted targets. Clinical Biomechanics (Bristol, Avon), 18(2), 126-131.

Maughan, R. J., Abel, R. W., Watson, J. S., & Weir, J. (1986). Forearm composition and muscle function in trained and untrained limbs. Clinical Physiology, 6(4), 389-396.

Mazess, R. B., Barden, H. S., Bisek, J. P., & Hanson, J. (1990). Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition. American Journal of Clinical Nutrition, 51(6), 1106-1112.

Mills, C., Scurr, J., & Wood, L. (2011). A protocol for monitoring soft tissue motion under compression garments during drop landings. Journal Biomechanics, 44(9), 1821-1823.

Mirhadi, S., Ashwood, N., & Karagkevrekis, B. (2015). Review of rollerblading injuries. Trauma, 17(1), 29-32.

Muller, M. E., Webber, C. E., & Bouxsein, M. L. (2003). Predicting the failure load of the distal radius. Osteoporosis International, 14(4), 345-352.

Myers, E., Sebeny, E., Hecker, A., Corcoran, T., Hipp, J., Greenspan, S., & Hayes, W. (1991). Correlations between photon absorption properties and failure load of the distal radius in vitro. Calcified Tissue International, 49(4), 292-297.

Nellans, K. W., Kowalski, E., & Chung, K. C. (2012). The epidemiology of distal radius fractures. Hand Clinics, 28(2), 113-125.

Nevitt, M. C., & Cummings, S. R. (1993). Type of fall and risk of hip and wrist fractures: The study of osteoporotic fractures. The Study of Osteoporotic Fractures Research Group. Journal of the American Geriatrics Society, 41(11), 1226-1234.

Pain, M. T., & Challis, J. H. (2002). Soft tissue motion during impacts: Their potential contributions to energy dissipation. Journal of Applied Biomechanics, 18(3), 231-242.

Pain, M. T., & Challis, J. H. (2006). The influence of soft tissue movement on ground reaction forces, joint torques and joint reaction forces in drop landings. Journal of Biomechanics, 39(1), 119-124.

Palvanen, M., Kannus, P., Parkkari, J., Pitkäjärvi, T., Pasanen, M., Vuori, I., & Järvinen, M. (2000). The injury mechanisms of osteoporotic upper extremity fractures among older adults: A controlled study of 287 consecutive patients and their 108 controls. Osteoporosis International, 11(10), 822-831.

Peters, A., Galna, B., Sangeux, M., Morris, M., & Baker, R. (2010). Quantification of soft tissue artifact in lower limb human motion analysis: A systematic review. Gait & Posture, 31(1), 1-8.

Prichasuk, S. (1994). The heel pad in plantar heel pain. Journal of Bone and Joint Surgery. British Volume, 76(1), 140-142.

Robinovitch, S. N., & Chiu, J. (1998). Surface stiffness affects impact force during a fall on the outstretched hand. Journal of Orthopaedic Research, 16(3), 309-313.

Sangeux, M. M., Marin, F. F., Charleux, F. F., Dürselen, L. L., & Ho Ba Tho, M. C. (2006). Quantification of the 3D relative movement of external marker sets vs. bones based on magnetic resonance imaging. Clinical Biomechanics (Bristol, Avon), 21(9), 984-991.

Sati, M., de Guise, J. A., Larouche, S., & Drouin, G. (1996). Quantitative assessment of skin-bone movement at the knee. The Knee, 3(3), 121-138.

Stagni, R., Fantozzi, S., Cappello, A., & Leardini, A. (2005). Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: A study on two subjects. Clinical Biomechanics (Bristol, Avon), 20(3), 320-329.

Stefanczyk, J. M., Brydges, E. A., Burkhart, T. A., Altenhof, W. J., & Andrews, D. M. (2013). Surface accelerometer fixation method affects leg soft tissue motion following heel impacts. International Journal of Kinesiology and Sports Science, 1(3), 1-8.

Südhoff, I., Van Driessche, S., Laporte, S., de Guise, J.A., & Skall, W. (2007). Comparing three attachment systems used to determine knee kinematics during gait. Gait & Posture, 25(4), 533-543.

Sumino, H., Ichikawa, S., Abe, M., Endo, Y., Ishikawa, O., & Kurabayashi, M. (2004). Effects of aging, menopause, and hormone replacement therapy on forearm skin elasticity in women. Journal of the American Geriatrics Society, 52(6), 945-949.

Winter, D. A. (2005). Biomechanics and motor control of human movement (2nd ed). Hoboken, NJ: John Wiley and Sons Inc.

Wolf, A., & Senesh, M. (2011). Estimating joint kinematics from skin motion observation: modelling and validation. Computer Methods in Biomechanics and Biomedical Engineering, 14(11), 939-946.

Wrbaškić, N. N., & Dowling, J. J. (2007). An investigation into the deformable characteristics of the human foot using fluoroscopic imaging. Clinical Biomechanics (Bristol, Avon), 22(2), 230-238.




DOI: https://doi.org/10.7575/aiac.ijkss.v.6n.3p.1

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