Accesso libero

Comparison of the optoelectronic BTS Smart system and IMU-based MyoMotion system for the assessment of gait variables

, , ,  e   
01 apr 2022
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Balasubramanian S., Abbas J., Comparison of angle measurements between Vicon and MyoMotion systems, Master’s Thesis, Center for Adaptive Neural Systems (ANS), Arizona State University, 2013. Search in Google Scholar

Cai L., Ma Y., Xiong S., Zhang Y., Validity and reliability of upper limb functional assessment using the microsoft kinect V2 sensor, Appl. Bionics Biomech., 2019, 14 (1), 7175240. Search in Google Scholar

Camomilla V., Bergamini E., Fantozzi S., Vannozzi G., Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: asystematic review, Sensors (Basel), 2018, 18 (3), E873. Search in Google Scholar

Corazza S., Mündermann L., Gambaretto E., Ferrigno G., Andriacchi T.P., Markerless motion capture through visual hull, articulated icp and subject specific model generation, Int. J. Comput. Vis., 2010, 87 (1–2), 156. Search in Google Scholar

Davis R.B., Õunpuu S., Tyburski D., Gage J.R., A gait analysis data collection and reduction technique, Hum. Mov. Sci., 1991, 10 (5), 575–587. Search in Google Scholar

Figard-Fabre H., Fabre N., Leonardi A., Schena F., Physiological and perceptual responses to Nordic walking in obese middle-aged women in comparison with the normal walk, Eur. J. Appl. Physiol., 2010, 108 (6), 1141–1151. Search in Google Scholar

Fritschi J.O., Brown W.J., van Uffelen J.G.Z., On your feet: protocol for a randomized controlled trial to compare the effects of pole walking and regular walking on physical and psychosocial health in older adults, BMC Public Health, 2014, 14 (1), 375. Search in Google Scholar

Fusca M., Negrini F., Perego P., Magoni L., Molteni F., Andreoni G., Validation of a wearable IMU system for gait analysis: protocol and application to a new system, Appl. Sci., 2018, 8 (7), 1167. Search in Google Scholar

Gribble P., Hertel J., Denegar C., Buckley W.E., Reliability and validity of a 2-D video digitizing system during a static and a dynamic task, J. Sport Rehabil., 2005, 14 (2), 137–149. Search in Google Scholar

Hopkins W.G., Measures of reliability in sports medicine and science, Sports Med., 2000, 30 (1), 1–15. Search in Google Scholar

Hopkins W.G., Spreadsheets for analysis of validity and reliability, Sportscience, 2017, 19, 36–44. Search in Google Scholar

Hsu W.C., Sugiarto T., Lin Y.J., Yang F.C., Lin Z.Y., Sun C.T., Hsu C.L., Chou K.N., Multiple-wearable-sensorbased gait classification and analysis in patients with neurological disorders, Sensors (Basel), 2018, 18 (10), 3397. Search in Google Scholar

Huber M.E., Seitz A.L., Leeser M., Sternad D., Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study, Physiotherapy, 2015, 101 (4), 389–393. Search in Google Scholar

Maletsky L.P., Sun J., Morton N.A., Accuracy of an optical active-marker system to track the relative motion of rigid bodies, J. Biomech., 2007, 40 (3), 682–685. Search in Google Scholar

Mundt M., Wisser A., David S., Dupré T., Quack V., Bamer F., Tingart M., Potthast W., Markert B., The influence of motion tasks on the accuracy of kinematic motion patterns of an imu-based measurement system, ISBS Proc. Arch., 2017, 35 (1), 245. Search in Google Scholar

Palmieri B., Vadalà M., Laurino C., The FIT therapy for the treatment of musculoskeletal and neurological disorders related symptoms: a retrospective observational study, Asian J. Med. Sci., 2019, 10 (5), 6–12. Search in Google Scholar

Pellegrini B., Boccia G., Zoppirolli C., Rosa R., Stella F., Bortolan L., Rainoldi A., Schena F., Muscular and metabolic responses to different Nordic walking techniques, when style matters, PLoS One, 2018, 13 (4), e0195438. Search in Google Scholar

Pietraszewski B., Woźniewski M., Jasiński R., Struzik A., Szuba A., Changes in gait variables in patients with intermittent claudication, BioMed. Res. Int., 2019, 7276865. Search in Google Scholar

Pueo B., Jimenez-Olmedo J.M., Lipinska P., Busko K., Penichet-Tomas A., Concurrent validity and reliability of proprietary and open-source jump mat systems for the assessment of vertical jumps in sport sciences, Acta Bioeng. Biomech., 2018, 20 (4), 51–57. Search in Google Scholar

Qiu S., Liu L., Zhao H., Wang Z., Jiang Y., MEMS inertial sensors based gait analysis for rehabilitation assessment via multi-sensor fusion, Micromachines (Basel), 2018, 9 (9), 442. Search in Google Scholar

Reuter I., Mehnert S., Leone P., Kaps M., Oechsner M., Engelhardt M., Effects of a flexibility and relaxation programme, walking, and nordic walking on Parkinson’s disease, J. Aging. Res., 2011, 232473. Search in Google Scholar

Richards J.G., The measurement of human motion: a comparison of commercially available systems, Hum. Mov. Sci., 1999, 18 (5), 589–602. Search in Google Scholar

Roell M., Mahler H., Lienhard J., Gehring D., Gollhofer A., Roecker K., Validation of wearable sensors during team sport-specific movements in indoor environments, Sensors (Basel), 2019, 19 (16), 3458. Search in Google Scholar

Seel T., Raisch J., Schauer T., IMU-based joint angle measurement for gait analysis, Sensors (Basel), 2014, 14 (4), 6891–6909. Search in Google Scholar

Slomka K.J., Sobota G., Skowronek T., Rzepko M., Czarny W., Juras G., Evaluation of reliability and concurrent validity of two optoelectric systems used for recording maximum vertical jumping performance versus the gold standard, Acta Bioeng. Biomech., 2017, 19 (2), 141–147. Search in Google Scholar

Smith T.B., Hopkins W.G., Variability and predictability of finals times of elite rowers, Med. Sci. Sports Exerc., 2011, 43 (11), 2155–2160. Search in Google Scholar

Stancic I., Supuk T.G., Panjkota A., Design, development and evaluation of optical motion-tracking system based on active white light markers, IET Sci. Meas. Technol., 2013, 7 (4), 206–214. Search in Google Scholar

Struzik A., Konieczny G., Grzesik K., Stawarz M., Winiarski S., Rokita A., Relationship between lower limbs kinematic variables and effectiveness of sprint during maximum velocity phase, Acta Bioeng. Biomech., 2015, 17 (4), 131–138. Search in Google Scholar

Struzik A., Konieczny G., Stawarz M., Grzesik K., Winiarski S., Rokita A., Relationship between lower limb angular kinematic variables and the effectiveness of sprinting during the acceleration phase, Appl. Bionics Biomech., 2016, 7480709. Search in Google Scholar

Tao W., Liu T., Zheng R., Feng H., Gait analysis using wearable sensors, Sensors (Basel), 2012, 12 (2), 2255–2283. Search in Google Scholar

Willson J., Torry M.R., Decker M.J., Kernozek T., Steadman J.R., Effects of walking poles on lower extremity gait mechanics, Med. Sci. Sports Exerc., 2001, 33 (1), 142–147. Search in Google Scholar

Windolf M., Gotzen N., Morlock M., Systematic accuracy and precision analysis of video motion capturing systems – exemplified on the Vicon-460 system, J. Biomech., 2008, 41 (12), 2776–2780. Search in Google Scholar

Xu J., Bao T., Lee U.H., Kinnaird C., Carender W., Huang Y., Sienko K.H., Shull P.B., Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept, J. NeuroEng. Rehabil., 2017, 14 (1), 102. Search in Google Scholar

Yoon T.L., Validity and reliability of an inertial measurement unit-based 3D angular measurement of shoulder joint motion, J. Korean Phys. Ther., 2017, 29 (3), 145–151. Search in Google Scholar

Zawadzki J., Bober T., Siemienski A., Validity analysis of the biodex system 3 dynamometer under static and isokinetic conditions, Acta Bioeng. Biomech., 2010, 12 (4), 25–32. Search in Google Scholar