{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T05:16:26Z","timestamp":1715145386478},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T00:00:00Z","timestamp":1617840000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T00:00:00Z","timestamp":1617840000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31370999"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2021,12]]},"abstract":"Abstract<\/jats:title>\n Background<\/jats:title>\n The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. An automatic kinematics data process was developed by programming on MATLAB software in this paper.<\/jats:p>\n <\/jats:sec>\n Methods<\/jats:title>\n The motion capture measurement of healthy volunteers was carried out and the MATLAB program was used for data process. Firstly, the coordinate data of markers and anatomical points on human lower limb measured by motion capture system were read and repaired through the usual and the patch program. Meantime, the local coordinate systems of human femur and tibia were established with anatomical points. Then flexion\/extension, abduction\/adduction and internal\/external rotation of human knee tibiofemoral joint were obtained by special coordinate transformation program.<\/jats:p>\n <\/jats:sec>\n Results<\/jats:title>\n Using the above methods, motion capture measurements and batch data processing were carried out on squatting and climbing stairs of 29 healthy volunteers. And the motion characteristics (flexion\/extension, internal\/external rotation and adduction\/abduction) of the knee joint were obtained. For example, the maximum internal\/external rotation in squatting and climbing stairs were respectively was 30.5 degrees and 14 degrees, etc. Meantime, the results of this paper also were respectively compared with the results processed by other research methods, and the results were basically consistent, thus the reliability of our research method was verified. After calibration processing, the compiled MATLAB program of this paper can directly be used for efficient batch processing and avoiding manual modeling one by one.<\/jats:p>\n <\/jats:sec>\n Conclusion<\/jats:title>\n A novel Patch Program of this paper has been developed, which can make reasonable compensation for missing and noise signals to obtain more complete motion data. At the same time, a universal data processing program has also been developed for obtaining the relative movement of various components of the human body, and the program can be modified for detail special analysis. These motion capture technologies can be used to judge whether the human body functions are abnormal, provide a reference for rehabilitation treatment and design of rehabilitation equipment, and evaluate the effectiveness before and after surgery.<\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/s12911-021-01483-0","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T08:03:39Z","timestamp":1617869019000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A data process of human knee joint kinematics obtained by motion-capture measurement"],"prefix":"10.1186","volume":"21","author":[{"given":"Jian-ping","family":"Wang","sequence":"first","affiliation":[]},{"given":"Shi-hua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yan-qing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Hai","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jin-wei","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Jin-lai","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xu","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5147-5223","authenticated-orcid":false,"given":"Yu","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,8]]},"reference":[{"key":"1483_CR1","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.aanat.2013.12.003","volume":"196","author":"HT Liu","year":"2014","unstructured":"Liu HT, Zhao Z, Wu X, Qiang H, Zhang YY. The imaging measurement of KBD knees and its clinical significance. Ann Anat. 2014;196:167\u20138.","journal-title":"Ann Anat"},{"issue":"4","key":"1483_CR2","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/s12178-015-9292-9","volume":"8","author":"U Cottino","year":"2015","unstructured":"Cottino U, Abdel MP, Hanssen AD. Chronic extensor mechanism insufficiency in total knee arthroplasty (TKA). Curr Rev Musculoskel Med. 2015;8(4):368\u201372. https:\/\/doi.org\/10.1007\/s12178-015-9292-9.","journal-title":"Curr Rev Musculoskel Med"},{"issue":"6","key":"1483_CR3","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.3760\/cma.j.issn.0366-6999.20132488","volume":"127","author":"XH Zhou","year":"2014","unstructured":"Zhou XH, Wang M, Liu C, Zhang L, Zhou YX. Total knee arthroplasty for severe valgus knee deformity. Chin Med J. 2014;127(6):1062\u20136. https:\/\/doi.org\/10.3760\/cma.j.issn.0366-6999.20132488.","journal-title":"Chin Med J"},{"issue":"4","key":"1483_CR4","first-page":"560","volume":"52","author":"R Baker","year":"2016","unstructured":"Baker R, Esquenazi A, Benedetti MG, Desloovere K. Gait analysis: clinical facts. Eur J Phys Rehabil Med. 2016;52(4):560\u201374.","journal-title":"Eur J Phys Rehabil Med"},{"key":"1483_CR5","doi-asserted-by":"publisher","unstructured":"Braga MD, Mota GLA, Da Costa RMEM. Technologies integration of immersive virtual reality on smartphones with real-time motion capture. 2016;127\u2013134. https:\/\/doi.org\/10.1109\/SVR.2016.30.","DOI":"10.1109\/SVR.2016.30"},{"key":"1483_CR6","doi-asserted-by":"crossref","unstructured":"Livne M, Sigal L, Brubaker M, Fleet D. Walking on thin air: environment-free physics-based markerless motion capture. 2018 15th conference on computer and robot vision (CRV). IEEE Computer Society; 2018.","DOI":"10.1109\/CRV.2018.00031"},{"key":"1483_CR7","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/953\/1\/012130","author":"A Arendra","year":"2018","unstructured":"Arendra A, Akhmad S. Development of esmoca biomechanic, motion capture instrumentation for biomechanics analysis. J Phys Conf. 2018. https:\/\/doi.org\/10.1088\/1742-6596\/953\/1\/012130.","journal-title":"J Phys Conf"},{"issue":"1","key":"1483_CR8","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3390\/s17010075","volume":"17","author":"A Karatsidis","year":"2017","unstructured":"Karatsidis A, Bellusci G, Schepers HM, Zee MD, Andersen MS, Veltink PH. Estimation of ground reaction forces and moments during gait using only inertial motion capture. Sensors. 2017;17(1):75. https:\/\/doi.org\/10.3390\/s17010075.","journal-title":"Sensors"},{"key":"1483_CR9","doi-asserted-by":"publisher","unstructured":"Jakob Ziegler, Alexander Reiter, Hubert Gattringer, et al. Simultaneous identification of human body model parameters and gait trajectory from 3D motion capture data. 2020; 84:193\u2013202. https:\/\/doi.org\/10.1016\/j.medengphy.2020.08.009.","DOI":"10.1016\/j.medengphy.2020.08.009"},{"issue":"3","key":"1483_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.4018\/IJERTCS.2019070107","volume":"10","author":"AY Meigal","year":"2019","unstructured":"Meigal AY, Gerasimova-Meigal LI, Reginya S, et al. Using smartphone inertial measurement unit for analysis of human gait. Int J Embedded Real Time Commun Syst. 2019;10(3):101\u201317. https:\/\/doi.org\/10.4018\/IJERTCS.2019070107.","journal-title":"Int J Embedded Real Time Commun Syst"},{"issue":"2","key":"1483_CR11","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1016\/j.gaitpost.2015.01.028","volume":"41","author":"A Schmitz","year":"2015","unstructured":"Schmitz A, Ye M, Boggess G, Shapiro R, Yang R, Noehren B. The measurement of in vivo joint angles during a squat using a single camera markerless motion capture system as compared to a marker based system. Gait Post. 2015;41(2):694\u20138. https:\/\/doi.org\/10.1016\/j.gaitpost.2015.01.028.","journal-title":"Gait Post"},{"issue":"1","key":"1483_CR12","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.gaitpost.2014.02.016","volume":"40","author":"J Clement","year":"2014","unstructured":"Clement J, Hagemeister N, Aissaoui R, De Guise JA. Comparison of quasi-static and dynamic squats: a three-dimensional kinematic, kinetic and electromyographic study of the lower limbs. Gait Post. 2014;40(1):94\u2013100. https:\/\/doi.org\/10.1016\/j.gaitpost.2014.02.016.","journal-title":"Gait Post"},{"issue":"1","key":"1483_CR13","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/S0966-6362(01)00162-X","volume":"15","author":"R Robert","year":"2002","unstructured":"Robert R, Marco R, et al. Stair ascent and descent at different inclinations. Gait Post. 2002;15(1):32\u201344. https:\/\/doi.org\/10.1016\/S0966-6362(01)00162-X.","journal-title":"Gait Post"},{"key":"1483_CR14","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.clinbiomech.2017.01.015","volume":"42","author":"CA Hammond","year":"2017","unstructured":"Hammond CA, Hatfield GL, Gilbart MK, et al. Trunk and lower limb biomechanics during stair climbing in people with and without symptomatic femoroacetabular impingement. Clin Biomech. 2017;42:108\u201314. https:\/\/doi.org\/10.1016\/j.clinbiomech.2017.01.015.","journal-title":"Clin Biomech"},{"key":"1483_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2937559","author":"Y Zheng","year":"2019","unstructured":"Zheng Y, Zhong P, Liu K, et al. Human motion capture system based 3D reconstruction on rehabilitation assistance stability of lower limb exoskeleton robot climbing upstairs posture. IEEE Sens J. 2019. https:\/\/doi.org\/10.1109\/JSEN.2019.2937559.","journal-title":"IEEE Sens J"},{"issue":"5","key":"1483_CR16","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1111\/j.1600-0714.2011.01024.x","volume":"26","author":"G Tang","year":"2011","unstructured":"Tang G, Wei GF, Zhou H, Liu SL, Ji WT, Wang DM, Wang CT. Measurement and analysis of the joint angle in lower limb during stair ascent. Med Biomech. 2011;26(5):460\u20134. https:\/\/doi.org\/10.1111\/j.1600-0714.2011.01024.x.","journal-title":"Med Biomech"},{"issue":"06","key":"1483_CR17","first-page":"7","volume":"2","author":"YT Xu","year":"2018","unstructured":"Xu YT, Wang WJ, Xu T, Li JW, Dai YX, Ding H. Study on the characteristics of left and right ankle joints in vicon motion capture system during human walking. Mod Inf Technol. 2018;2(06):7\u20139.","journal-title":"Mod Inf Technol"},{"key":"1483_CR18","doi-asserted-by":"publisher","first-page":"10943","DOI":"10.1007\/s00500-020-04905-9","volume":"24","author":"S Al-Janabi","year":"2020","unstructured":"Al-Janabi S, Alkaim AF, Adel Z. An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy. Soft Comput. 2020;24:10943\u201362. https:\/\/doi.org\/10.1007\/s00500-020-04905-9.","journal-title":"Soft Comput"},{"key":"1483_CR19","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1007\/s00500-019-04495-1","volume":"24","author":"S Al-Janabi","year":"2020","unstructured":"Al-Janabi S, Mohammad M, Al-Sultan A. A new method for prediction of air pollution based on intelligent computation. Soft Comput. 2020;24:661\u201380. https:\/\/doi.org\/10.1007\/s00500-019-04495-1.","journal-title":"Soft Comput"},{"issue":"5","key":"1483_CR20","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1504\/IJGUC.2019.10020511","volume":"10","author":"S Al-Janabi","year":"2019","unstructured":"Al-Janabi S, Mahdi MA. Evaluation prediction techniques to achievement an optimal biomedical analysis. Int J Grid Utility Comput. 2019;10(5):512\u201327. https:\/\/doi.org\/10.1504\/IJGUC.2019.10020511.","journal-title":"Int J Grid Utility Comput"},{"issue":"1","key":"1483_CR21","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/s00500-019-03972-x","volume":"24","author":"S Al-Janabi","year":"2020","unstructured":"Al-Janabi S, Alkaim AF. A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation. Soft Comput. 2020;24(1):555\u201369. https:\/\/doi.org\/10.1007\/s00500-019-03972-x.","journal-title":"Soft Comput"},{"key":"1483_CR22","doi-asserted-by":"publisher","unstructured":"Alkaim AF, Al_Janabi S. Multi objectives optimization to gas flaring reduction from oil production. In: Farhaoui Y (editor) Big data and networks technologies. BDNT 2019. Lecture notes in networks and systems, vol. 81. Cham: Springer; 2019. https:\/\/doi.org\/10.1007\/978-3-030-23672-4_10.","DOI":"10.1007\/978-3-030-23672-4_10"},{"key":"1483_CR23","doi-asserted-by":"publisher","unstructured":"Ali SH. Miner for OACCR: Case of medical data analysis in knowledge discovery. IEEE, 2012 6th international conference on sciences of electronics, technologies of information and telecommunications (SETIT), Sousse, 2012, pp. 962\u2013975. https:\/\/doi.org\/10.1109\/SETIT.2012.6482043.","DOI":"10.1109\/SETIT.2012.6482043"},{"key":"1483_CR24","doi-asserted-by":"publisher","unstructured":"Al-Janabi S, Patel A, Fatlawi H, et al. Empirical rapid and accurate prediction model for data mining tasks in cloud computing environments. In: IEEE, 2014 international congress on technology, communication and knowledge (ICTCK), Mashhad; 2014, pp. 1\u20138. https:\/\/doi.org\/10.1109\/ICTCK.2014.7033495.","DOI":"10.1109\/ICTCK.2014.7033495"},{"issue":"1","key":"1483_CR25","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1186\/s12911-016-0344-x","volume":"16","author":"SL Perez","year":"2016","unstructured":"Perez SL, Kravitz RL, Bell RA, et al. Characterizing internet health information seeking strategies by socioeconomic status: a mixed methods approach. BMC Med Inform Decis Mak. 2016;16(1):107. https:\/\/doi.org\/10.1186\/s12911-016-0344-x.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1483_CR26","doi-asserted-by":"publisher","unstructured":"Mahdi MA, Al_Janabi S. A novel software to improve healthcare base on predictive analytics and mobile services for cloud data centers. In: Farhaoui Y (editor) Big data and networks technologies. BDNT 2019. Lecture notes in networks and systems, vol 81. Cham: Springer; 2019. https:\/\/doi.org\/10.1007\/978-3-030-23672-4_23.","DOI":"10.1007\/978-3-030-23672-4_23"},{"key":"1483_CR27","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01130-0","author":"AAOM Claassen","year":"2020","unstructured":"Claassen AAOM, Schers HJ, Busch VJJF, et al. Preparing for an orthopedic consultation using an eHealth tool: a randomized controlled trial in patients with hip and knee osteoarthritis. BMC Med Inform Decis Mak. 2020. https:\/\/doi.org\/10.1186\/s12911-020-01130-0.","journal-title":"BMC Med Inform Decis Mak"},{"issue":"05","key":"1483_CR28","first-page":"725","volume":"42","author":"G Tang","year":"2016","unstructured":"Tang G, Cheng RS, Hu X, Zhang BY, Wu G. Simulation platform design for human knee joint dynamics based on Matlab. J Donghua Univ (Nat Sci). 2016;42(05):725\u201331.","journal-title":"J Donghua Univ (Nat Sci)"},{"issue":"6","key":"1483_CR29","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1177\/0309364615610660","volume":"40","author":"WL Childers","year":"2016","unstructured":"Childers WL, Siebert S. Marker-based method to measure movement between the residual limb and a transtibial prosthetic socket. Prosthet Orthot Int. 2016;40(6):720\u20138. https:\/\/doi.org\/10.1177\/0309364615610660.","journal-title":"Prosthet Orthot Int"},{"issue":"1","key":"1483_CR30","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1134\/S0965542517010043","volume":"57","author":"IA Blatov","year":"2017","unstructured":"Blatov IA, Zadorin AI, Kitaeva EV. Cubic spline interpolation of functions with high gradients in boundary layers. Comput Math Math Phys. 2017;57(1):7\u201325. https:\/\/doi.org\/10.1134\/S0965542517010043.","journal-title":"Comput Math Math Phys"},{"key":"1483_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767965","author":"KS Arun","year":"1987","unstructured":"Arun KS, Huang TS, Blostein SD. Least-squares fitting of two 3-D point sets. IEEE Trans Pattern Anal Mach Intell. 1987. https:\/\/doi.org\/10.1109\/TPAMI.1987.4767965.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"1483_CR32","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1115\/1.3138397","volume":"105","author":"ES Grood","year":"1983","unstructured":"Grood ES, Suntay WJ. A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. J Biomech Eng. 1983;105(2):136\u201344. https:\/\/doi.org\/10.1115\/1.3138397.","journal-title":"J Biomech Eng"},{"issue":"4","key":"1483_CR33","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/S0021-9290(01)00222-6","volume":"35","author":"G Wu","year":"2002","unstructured":"Wu G, et al. ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion\u2014part I: ankle, hip, and spine. Int Soc Biomech J Biomech. 2002;35(4):543\u20138. https:\/\/doi.org\/10.1016\/S0021-9290(01)00222-6.","journal-title":"Int Soc Biomech J Biomech"},{"issue":"07","key":"1483_CR34","first-page":"1043","volume":"43","author":"JP Wang","year":"2009","unstructured":"Wang JP, Zhang LL, Wang CT. Analysis of human patellofemoral relative kinematics. J Shanghai Jiaotong Univ (Chin Ed). 2009;43(07):1043\u20136.","journal-title":"J Shanghai Jiaotong Univ (Chin Ed)"},{"issue":"06","key":"1483_CR35","first-page":"1340","volume":"26","author":"JP Wang","year":"2009","unstructured":"Wang JP, Han XL, Ji WT, Wang CT. Analysis of human tibiofemoral joint relative kinematics based on 3D image registration. J Biomed Eng. 2009;26(06):1340\u20134.","journal-title":"J Biomed Eng"},{"issue":"5","key":"1483_CR36","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1016\/S0021-9290(01)00222-6","volume":"38","author":"G Wu","year":"2005","unstructured":"Wu G, Helm FCTVD, Veeger HEJ. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion\u2014Part II: shoulder, elbow, wrist and hand. J Biomech. 2005;38(5):981\u201392. https:\/\/doi.org\/10.1016\/S0021-9290(01)00222-6.","journal-title":"J Biomech"},{"issue":"2","key":"1483_CR37","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1108\/IR-09-2019-0185","volume":"47","author":"F Guo","year":"2019","unstructured":"Guo F, Cai H, Ceccarelli M, et al. Enhanced D-H: an improved convention for establishing a robot link coordinate system fixed on the joint. Ind Robot Int J Robot Res Appl. 2019;47(2):197\u2013205. https:\/\/doi.org\/10.1108\/IR-09-2019-0185.","journal-title":"Ind Robot Int J Robot Res Appl"},{"key":"1483_CR38","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.medengphy.2016.10.006","volume":"39","author":"D Dabirrahmani","year":"2016","unstructured":"Dabirrahmani D, Hogg M. Modification of the grood and suntay joint coordinate system equations for knee joint flexion. Med Eng Phys. 2016;39:113\u20136. https:\/\/doi.org\/10.1016\/j.medengphy.2016.10.006.","journal-title":"Med Eng Phys"},{"issue":"1","key":"1483_CR39","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1080\/14498596.2017.1316688","volume":"63","author":"G Even-Tzur","year":"2017","unstructured":"Even-Tzur G. Invariance property of coordinate transformation. J Spat Sci. 2017;63(1):23\u201334. https:\/\/doi.org\/10.1080\/14498596.2017.1316688.","journal-title":"J Spat Sci"},{"key":"1483_CR40","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.jbiomech.2018.10.024","volume":"82","author":"E Dooley","year":"2019","unstructured":"Dooley E, Carr J, Carson E, Russell S. The effects of knee support on the sagittal lower-body joint kinematics and kinetics of deep squats. J Biomech. 2019;82:164\u201370. https:\/\/doi.org\/10.1016\/j.jbiomech.2018.10.024.","journal-title":"J Biomech"},{"issue":"5","key":"1483_CR41","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1016\/j.jbiomech.2004.05.033","volume":"38","author":"KE Moglo","year":"2005","unstructured":"Moglo KE, Shirazi-Adl A. Cruciate coupling and screw-home mechanism in passive knee joint during extension\u2013flexion. J Biomech. 2005;38(5):1075\u201383. https:\/\/doi.org\/10.1016\/j.jbiomech.2004.05.033.","journal-title":"J Biomech"},{"issue":"10","key":"1483_CR42","doi-asserted-by":"publisher","first-page":"1539","DOI":"10.1016\/j.jbiomech.2009.03.041","volume":"42","author":"AM Merican","year":"2009","unstructured":"Merican AM, Amis AA. Iliotibial band tension affects patellofemoral and tibiofemoral kinematics. J Biomech. 2009;42(10):1539\u201346. https:\/\/doi.org\/10.1016\/j.jbiomech.2009.03.041.","journal-title":"J Biomech"},{"key":"1483_CR43","first-page":"663","volume":"54587","author":"C-H Chen","year":"2011","unstructured":"Chen C-H, Li J-S, et al. Tibiofemoral kinematics of the knee dring the stance phase of gait after ACL deficiency. Summer Bioeng Conf Am Soc Mech Eng. 2011;54587:663\u20134.","journal-title":"Summer Bioeng Conf Am Soc Mech Eng"},{"issue":"12","key":"1483_CR44","doi-asserted-by":"publisher","first-page":"1877","DOI":"10.1016\/j.jbiomech.2009.05.003","volume":"42","author":"M Kozanek","year":"2009","unstructured":"Kozanek M, et al. Tibiofemoral kinematics and condylar motion during the stance phase of gait. J Biomech. 2009;42(12):1877\u201384. https:\/\/doi.org\/10.1016\/j.jbiomech.2009.05.003.","journal-title":"J Biomech"},{"issue":"5","key":"1483_CR45","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1016\/S0736-0266(01)00008-0","volume":"19","author":"Y Mizuno","year":"2001","unstructured":"Mizuno Y, et al. Q-angle influences tibiofemoral and patellofemoral kinematics. J Orthop Res. 2001;19(5):834\u201340. https:\/\/doi.org\/10.1016\/S0736-0266(01)00008-0.","journal-title":"J Orthop Res"},{"issue":"05","key":"1483_CR46","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.1111\/j.1440-1681.2008.05051.x","volume":"26","author":"S Wu","year":"2009","unstructured":"Wu S, Zhang Q, Xiao BX, Wei XP. New approach of capture data processing for optical motion. Appl Res Comput . 2009;26(05):1938\u201340. https:\/\/doi.org\/10.1111\/j.1440-1681.2008.05051.x.","journal-title":"Appl Res Comput"},{"issue":"9","key":"1483_CR47","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1016\/j.mechmachtheory.2006.08.006","volume":"42","author":"FJ Alonso","year":"2007","unstructured":"Alonso FJ, DelCastillo JM, Pintado P. Motion data processing and wobbling mass modeling in the inverse dynamics of skeletal models. Mech Mach Theory. 2007;42(9):1153\u201369. https:\/\/doi.org\/10.1016\/j.mechmachtheory.2006.08.006.","journal-title":"Mech Mach Theory"},{"issue":"9","key":"1483_CR48","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s00371-006-0080-9","volume":"22","author":"G Liu","year":"2006","unstructured":"Liu G, Mcmillan L. Estimation of missing markers in human motion capture. Vis Comput. 2006;22(9):721\u20138. https:\/\/doi.org\/10.1007\/s00371-006-0080-9.","journal-title":"Vis Comput"},{"issue":"03","key":"1483_CR49","first-page":"235","volume":"41","author":"YH Liu","year":"2018","unstructured":"Liu YH, Feng Y, Li QB, Wan YW, Luo CG, Luo J. Kinematic parameter characteristics of treading manipulation based on three-dimensional dynamic capture technique. J Beijing Univ Tradit Chin Med. 2018;41(03):235\u201341.","journal-title":"J Beijing Univ Tradit Chin Med"},{"issue":"26","key":"1483_CR50","doi-asserted-by":"publisher","first-page":"3297","DOI":"10.1200\/JCO.2011.38.7589","volume":"30","author":"JG Ibrahim","year":"2012","unstructured":"Ibrahim JG, Chu H, Chen MH. Missing data in clinical studies: issues and methods. J Clin Oncol. 2012;30(26):3297\u2013303. https:\/\/doi.org\/10.1200\/JCO.2011.38.7589.","journal-title":"J Clin Oncol"},{"key":"1483_CR51","unstructured":"Maiki K, Okadome T. Recovering missing data in three dimensional gait measurement. TENCON 2015\u20142015 IEEE region 10 conference IEEE; 2015."}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-021-01483-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12911-021-01483-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-021-01483-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T08:06:13Z","timestamp":1617869173000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-021-01483-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,8]]},"references-count":51,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["1483"],"URL":"https:\/\/doi.org\/10.1186\/s12911-021-01483-0","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-49920\/v1","asserted-by":"object"},{"id-type":"doi","id":"10.21203\/rs.3.rs-49920\/v2","asserted-by":"object"}]},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,8]]},"assertion":[{"value":"29 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was obtained from all individual participants included in the study. And we obtained approval from the Ethics Committee of Shanghai Sixth People's Hospital, China. All subjects provided written informed consent prior to their participation in the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"121"}}