Objective Gait analysis plays an important role in the description of the site and degree of injury in the lower limbs, and symmetry is an important indicator of gait characteristics. The aim of this study is to quantitatively describe gait information and its asymmetry in three-dimensional space, dig deeper into gait information and improve the analysis of abnormal gait characteristics.Methods The information about the change of coronal-sagittal plane angle in different parts was obtained based on the inertial gait sensor, and the gait space vector was inverted to build the movement curve and form a motion symmetry detection method based on three-dimensional space angle vector distance. The characteristics of normal subjects (control group) and the anterior cruciate ligament (ACL) rupture patients (patients group) were analyzed from July, 2017 to January, 2018, and its effectiveness was verified.Results There was a better discrimination effect in the calf, thigh and knee asymmetry, etc., between the control group and the patient group (P<0.05). The characteristics of the calf space motion vector were highest among the control group and the patient group, and the discrimination was relatively stable, and not various with gender, age, height or body mass index.Conclusion The time-coronal-sagittal vector diagrams of left and right limbs were obtained by inertial sensor and the average of the square of the Euclidean distances in space at the selected gait cycle time points was calculated in three-dimensional space, which could be used as a gait asymmetry analysis method.
LI Dai
,
YU Hong
,
LIANG Zi-xuan
,
HUANG Hong-shi
,
SHI Hai-hua
,
LIU Xiao-min
,
AO Ying-fang
. Initiatory Application of Three-dimensional Asymmetry on Anterior-cruciate-ligament Rupture Gait Analysis[J]. Chinese Journal of Rehabilitation Theory and Practice, 2018
, 24(8)
: 956
-962
.
DOI: 10.3969/j.issn.1006-9771.2018.08.016
[1] Huang H, Guo J, Yang J, et al.Isokinetic angle-specific moments and ratios characterizing hamstring and quadriceps strength in anterior cruciate ligament deficient knees[J]. Scientific Reports, 2017, 7: 7269.
[2] Huang H, Qiu J, Liu T, et al.Similarity of center of pressure progression during walking and jogging of anterior cruciate ligament deficient patients[J]. PLoS One, 2017, 12(1): e0169421.
[3] Li X, Huang H, Wang J, et al.The analysis of plantar pressure data based on multimodel method in patients with anterior cruciate ligament deficiency during walking[J]. Biomed Res Int, 2016, 2016: 7891407.
[4] Huang H, Zhang D, Jiang Y, et al.Translation, validation and cross-cultural adaptation of a simplified-Chinese version of the Tegner activity score in Chinese patients with anterior cruciate ligament injury[J]. PLoS One, 2016, 11(5): e0155463.
[5] 黄红拾,邱健威,于媛媛,等. 健康女大学生步行和慢跑运动模式下足底压力中心轨迹相似度分析[J]. 北京大学学报(自然科学版), 2015, 51(6): 1035-1039.
[6] 黄红拾,蒋艳芳,杨洁,等. 膝关节30°时前交叉韧带断裂对等速屈伸肌力比值的影响[J]. 北京大学学报(医学版), 2015, 47(5): 787-790.
[7] 黄红拾,于媛媛,郭秦炜,等. 前交叉韧带断裂患者步行时足底压力时间特征[J]. 中国运动医学杂志, 2015, 34(3): 271-274.
[8] 黄红拾,敖英芳,郭秦炜,等. 前交叉韧带重建术影响步行时足底压力时相特征初步研究[J]. 中国运动医学杂志, 2014 , 33(3): 189-192.
[9] 黄红拾. 前交叉韧带断裂对股四头肌和腘绳肌等速肌力影响的初步分析[C]//第十三届亚洲运动医学大会, 2014: 2.
[10] Rahman J, Tang Q, Monda M, et al.Gait assessment as a functional outcome measure in total knee arthroplasty: a cross-sectional study[J]. BMC Musculoskelet Disord, 2015, 16(1): 1-9.
[11] Lee SW, Mase K, Kogure K.Detection of spatio-temporal gait parameters by using wearable motion sensors[C]. Conf Proc IEEE Eng Med Biol Soc, 2005, 7: 6836-6839.
[12] Jasiewicz JM, Allum JH, Middleton JW, et al.Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals[J]. Gait Posture, 2006, 24(4): 502-509.
[13] 姚健. 基于足底压力测量的步态识别与预测[D]. 成都:西南交通大学, 2017.
[14] 周洁. 基于姿态与压力信息的步态识别方法[D]. 成都:西南交通大学, 2016.
[15] Qin LY, Ma H, Liao WH.Insole plantar pressure systems in the gait analysis of post-stroke rehabilitation[C]. International Conference on Information and Automation, IEEE, 2015: 1784-1789.
[16] Lemaire ED, Biswas A, Kofman J.Plantar pressure parameters for dynamic gait stability analysis[J]. Conf Proc IEEE Eng Med Biol Soc, 2006, 1: 4465-4468.
[17] Howcroft JD, Lemaire ED, Kofman J, et al.Analysis of dual-task elderly gait using wearable plantar-pressure insoles and accelerometer[J]. Conf Proc IEEE Eng Med Biol Soc, 2014, 2014: 5003-5006.
[18] Hamid R, Wijesundara S, McMillan L, et al. Development of a wearable plantar force measurement device for gait analysis in remote conditions[C]. Conf Proc IEEE Eng Med Biol Soc, 2017: 139-142.
[19] Ramirez-Bautista JA, Huerta-Ruelas JA, Chaparro-Cardenas SL, et al.A review in detection and monitoring gait disorders using in-shoe plantar measurement systems[J]. IEEE Rev Biomed Eng, 2017, 10: 299-309.
[20] Hannula M, Säkkinen A, Kylmänen A. Development of EMFI-sensor based pressure sensitive insole for gait analysis [C]. Warsaw, Poland: International Workshop on Medical Measurement and Applications, IEEE, 2007-05-04: 1-3.
[21] 林尔东, 姚志明, 郑重,等. 一种改进的基于地面反作用力的步态识别方法[J]. 模式识别与人工智能, 2011, 24(3): 353-359.
[22] Minami A, Horikawa T, Ohkubo T, et al.A study on gait analysis by measuring axis rotation based on 3D magnetic and acceleration sensors[C]. SICE Annual Conference, 2010: 2518-2522.
[23] 吴希希. 基于三维步态分析方法对肌痉挛型偏瘫患者异常步态的研究[D]. 南京:南京体育学院, 2016.
[24] Giakas G, Baltzopoulos V.Time and frequency domain analysis of ground reaction forces during walking: an investigation of variability and symmetry[J]. Gait Posture, 1997, 5(3): 189-197.
[25] Huang H, Keijsers N, Horemans H, et al.Anterior cruciate ligament rupture is associated with abnormal and asymmetrical lower limb loading during walking[J]. J Sci Med Sport, 2017, 20(5): 432-437.
