Linhong Ji
Tsinghua University
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Featured researches published by Linhong Ji.
international conference of the ieee engineering in medicine and biology society | 2005
Jiankun Yang; Dewen Jin; Rencheng Wang; Jichuan Zhang; Linhong Ji; Xin Fang; Dawei Zhou
The purpose of the present study was to determine the relationship between the surface electromyography (sEMG) variables and slip events using principal component analysis (PCA). Ten healthy young adults were required to walk on the oily surface on a self-selected comfortable pace. The sEMG signals of lower extremity muscles were recorded and analyzed, while kinematics data was recorded to assist slip definitions. When ten variables (seven in time domain and three in frequency domain) were considered in the PCA, the results indicated that 1) three most important principal components could explain more than 85% of the variation in the entire data set; 2) some variables should be especially noticed such as muscle power, the mean frequency, the median frequency and the amplitude amount exceeding the mean value
international conference on digital human modeling | 2007
Jiankun Yang; Dewen Jin; Linhong Ji; Jichuan Zhang; Rencheng Wang; Xin Fang; Dawei Zhou
A inverse dynamical model for slip gait developed by using Kanes method of dynamics is described in this paper. The modeling was based on two separate sub-systems: anti-slip and anti-fall. Both sub-systems were modeled as an open kinematic chain and formulated using the same equations, so that the whole slip and fall process could be simulated using the same equations by switching input data. In the simulation, only kinematic data need to be input to obtain the joint moments and horizontal ground reaction force in the whole slip and fall process. The kinematic input data were acquired from one health male subject who was asked to perform the normal and slip gait. The anthropometric data for each body segment in the skeletal model was calculated using the body height, weight and the national standards on inertia parameters regression equations. The kinematic and kinetic results from the simulation are discussed in the paper which are well consistent with the conclusions in previous studies.
Journal of Biomechanics | 2007
Ming Wu; Linhong Ji; Dewen Jin; Yi Chung Pai
Journal of Sound and Vibration | 2002
Xiaohong Jia; Dewen Jin; Linhong Ji; Jichuan Zhang
Journal of Electromyography and Kinesiology | 2007
Jiankun Yang; Dewen Jin; Linhong Ji; Rencheng Wang; Jichuan Zhang; Xin Fang; Dawei Zhou; Ming Wu
Journal of Tsinghua University | 2003
Ming Wu; Linhong Ji; Dewen Jin; Rencheng Wang; Jichuan Zhang
Journal of Biomedical Engineering | 2003
Ming Wu; Linhong Ji; Dewen Jin; Qingfeng Zhu; Rencheng Wang
Journal of Tsinghua University | 2002
Ming Wu; Linhong Ji; Dewen Jin; Qingfeng Zhu; Rencheng Wang; Jichuan Zhang
Journal of Tsinghua University | 2005
Jiankun Yang; Ming Wu; Linhong Ji; Dewen Jin
Journal of Tsinghua University | 2003
Ming Wu; Linhong Ji; Dewen Jin; Jichuan Zhang