Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion
Electrogoniómetro portable de bajo costo basado en sensores inerciales para la medición del rango articular de movimiento
DOI:
https://doi.org/10.15446/dyna.v84n201.59054Palabras clave:
Electrogoniometer, inertial sensors, joint range of motion, motion capture system (en)Electrogoniómetro, sensores inerciales, rango articular de movimiento, sistema de captura de movimiento (es)
Descargas
Referencias
Corazza, S., Mundermann, L., Chaudhari, A.M., Demattio, T., Cobelli, C. and Andriacchia, T.P., Markerless motion capture system to study musculoskeletal biomechanics: Visual hull and simulated annealing approach. Annals of Biomedical Engineering, 34(6), pp. 1019-1029, 2006. DOI: 10.1007/s10439-006-9122-8
Troje, N.F., Decomposing biological motion: A framework for analysis and synthesis of human gait patterns. Journal of Vision, 2(5), pp. 371-387, 2002. DOI: 10.1167/2.5.2
Mündermann, L., Corazza, S. and Andriacchi, T.P., The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications. Journal of NeuroEngineering and Rehabilitation, 3(6), pp. 1-11, 2006. DOI: 10.1186/1743-0003-3-6
Bonato, P., Advances in wearable technology and applications in physical medicine and rehabilitation. Journal of NeuroEngineering and Rehabilitation, 2(2), 2005. DOI: 10.1186/1743-0003-2-2
Zheng, H., Black, N.D. and Harris, N.D., Position-sensing technologies for movement analysis in stroke rehabilitation. Medical & Biological Engineering & Computing, 43(4), pp. 413-420, 2005. DOI: 10.1007/BF02344720
Moeslund, T.B., Hilton, A. and Kruger, V., A survey of advances in vision-based human motion capture and analysis. Computer Vision and Image Understanding, 104, pp. 90-126, 2006. DOI:
H. Luinge., Inertial sensing of human movement, Ph.D. dissertation, University of Twente, Nederland, 2002.
Sabatini, A.M., Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing. Sensors, 11, pp. 1489-1525, 2011. DOI: 10.3390/s110201489
O'Donovan, K.J., Kamnik, R., O'Keeffe, D.T. and Lyons, G.M., An inertial and magnetic sensor based technique for joint angle measurement. J. Biomech. 40, pp. 2604-2611, 2007. DOI: 10.1016/j.jbiomech.2006.12.010
Seel, T., Raisch, J. and Schauer, T., IMU-based joint angle measurement for gait analysis. Sensors, 14, pp. 6891-6909, 2014. DOI: 10.3390/s140406891
Callejas-Cuervo, M., Ruiz-Olaya, A.F. and Gutierrez-Salamanca, R.M., Biomechanical motion capture methods focused on tele-physiotherapy. Health Care Exchanges (PAHCE), Pan American, 2013.
Sabatini, A.M., Quaternion-based extended kalman filter for determining orientation by inertial and magnetic sensing. IEEE Transactions on Biomedical Engineering, 53(7), pp. 1346-1356, 2006. DOI: 10.1109/TBME.2006.875664
El-Gohary, M. and McNames, J., Shoulder and elbow joint angle tracking with inertial sensors. IEEE Transactions on Biomedical Engineering, 59(9), pp. 2635-2641, 2012. DOI: 10.1109/TBME.2012.2208750
Wilson, J.R. and Sharples, S., Evaluation of Human Work. CRC Press, 2015.
Norkin, C.C. and White, D.J., Measurement of joint motion: A guide to goniometry. F.A. Davis Company, 2009.
Chapleau, J., Canet, F., Petit, Y., Laflamme, G. and Rouleau, D.M., Validity of goniometric elbow measurements, comparative study with a radiographic method. Clin Orthop Relat Res, 469, pp. 3134-3140, 2011. DOI: 10.1007/s11999-011-1986-8
Jenkins, S.E.M., Giakas, G., Richards, J.D. and Pomeroy, V.M., Electrogoniometry as a clinical tool to measure quality of movement after stroke, 2003.
Cohen, M.E. and Marino, R.J., The tools of disability outcomes research functional status measures. Arch Phys Med Rehabil, 81, pp. S21-S29, 2000. DOI: 10.1053/apmr.2000.20620
Tognetti, A.; Lorussi, F., Mura, G.D., Carbonaro, N., Pacelli, M., Paradiso, R. and Rossi, D.D., New generation of wearable goniometers for motion capture systems. J. Neuroeng. Rehabil., 11(56), 2014. DOI: 10.1186/1743-0003-11-56
Johnson, P.W., Jonsson, P. and Hagberg, M., Comparison of measurement accuracy between two wrist goniometer systems during pronation and supination. J Electromyogr Kinesiol, 12(5), pp. 413-420, 2002. DOI: 10.1016/S1050-6411(02)00031-7
Processing. Processing Foundation, [online] [date of reference: May of 216]. Available at: https://processing.org/
Wu, G., Helm, F.C.T, Veeger, H.E.H, Makshous, M., Van Roy, P., Anglin, C., Nagels, J., Karduna, A.R., McQuade, K., Wang, X., Werner, F.W., and Buchholz, B., 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. Journal of Biomechanics, 38, pp 981-992, 2005. DOI: 10.1016/j.jbiomech.2004.05.042
Biometrics Ltd. Goniometers and Torsiometers, [online]. [date of reference: May of 2016]. Available at: www.biometricsltd.com/gonio.htm
Lin, LI., A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45, pp. 255-268, 1989. DOI: 10.2307/2532051
McBride, G.B., A proposal for strength-of-agreement criteria for Lin's Concordance Correlation Coefficient. NIWA Client Report: HAM2005-062, 2005.
Dimensions
PlumX
Visitas a la página del resumen del artículo
Descargas
Cómo citar
Licencia
Derechos de autor 2017 DYNA

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
El autor o autores de un artículo aceptado para publicación en cualquiera de las revistas editadas por la facultad de Minas cederán la totalidad de los derechos patrimoniales a la Universidad Nacional de Colombia de manera gratuita, dentro de los cuáles se incluyen: el derecho a editar, publicar, reproducir y distribuir tanto en medios impresos como digitales, además de incluir en artículo en índices internacionales y/o bases de datos, de igual manera, se faculta a la editorial para utilizar las imágenes, tablas y/o cualquier material gráfico presentado en el artículo para el diseño de carátulas o posters de la misma revista.








