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ZHAO W, SONG W, RAO JS, WEI RH, LI LF, JI R, ZHAO C, YANG ZY, LI XG. GAIT DIVISION OF HEALTHY AND SPINAL CORD–INJURED RHESUS MONKEYSBY ONE-DIMENSIONAL TOE SIGNALS. J MECH MED BIOL 2018. [DOI: 10.1142/s0219519418500173] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Spinal cord injury (SCI) may cause disastrous damage to human locomotion and ultimately make patients suffer from gait anomaly. In the extensive SCI research, the locomotion function serves as a vital standard not only for revealing the underlying SCI mechanism but also for evaluating the clinical therapy. Gait division is the basis of gait analysis. Calculation of gait parameters is available for locomotion function evaluation only when gait cycles are accurately divided. Based on the characteristics of stride height, which is defined as the real-time height of toes vertical to the running direction of a treadmill belt, this study presented three automatic gait division methods, divided the gait cycles for healthy and spinal cord-injured rhesus monkeys, established the evaluation standards, and made comparison of these three methods. For the healthy, injured and mixed groups, the overall accuracies of these three methods were respectively 0.871[Formula: see text][Formula: see text][Formula: see text]0.223, 0.570[Formula: see text][Formula: see text][Formula: see text]0.372, and 0.720[Formula: see text][Formula: see text][Formula: see text]0.339 (method 1); 0.658[Formula: see text][Formula: see text][Formula: see text]0.245, 0.737[Formula: see text][Formula: see text][Formula: see text]0.206, and 0.698[Formula: see text][Formula: see text][Formula: see text]0.228 (method 2); 0.966[Formula: see text][Formula: see text][Formula: see text]0.060, 0.759[Formula: see text][Formula: see text][Formula: see text]0.343, and 0.863[Formula: see text][Formula: see text][Formula: see text]0.265 (method 3). The results show that the stride height characteristics combined with the filter technique may help realize the adequate gait division.
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Affiliation(s)
- W. ZHAO
- Department of Neurobiology, Capital Medical University, Beijing 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
| | - W. SONG
- Rehabilitation Engineering Research Institute, China Rehabilitation Research Center, Beijing 100068, China
| | - J. S. RAO
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - R. H. WEI
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - L. F. LI
- Biomechanics Laboratory, National Rehabilitation Auxiliary Equipment Research Center, Beijing 100176, China
| | - R. JI
- Biomechanics Laboratory, National Rehabilitation Auxiliary Equipment Research Center, Beijing 100176, China
| | - C. ZHAO
- Department of Neurobiology, Capital Medical University, Beijing 100069, China
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Z. Y. YANG
- Department of Neurobiology, Capital Medical University, Beijing 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
| | - X. G. LI
- Department of Neurobiology, Capital Medical University, Beijing 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
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LI XG, Liu YJ, Li DX. Method of Calculation of Instantaneous Shear Stress of Polymer Melts Extruding Through a Capillary under Vibration. J MACROMOL SCI B 2011. [DOI: 10.1080/00222348.2011.629906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- X. G. LI
- a State Key Laboratory of Powder Metallurgy , Central South University , Changsha , China
- b Key Laboratory of New Materials and Technology for Packaging , Hunan University of Technology , Zhuzhou , China
| | - Y. J. Liu
- b Key Laboratory of New Materials and Technology for Packaging , Hunan University of Technology , Zhuzhou , China
| | - D. X. Li
- a State Key Laboratory of Powder Metallurgy , Central South University , Changsha , China
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