Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiateng Hou"'
Autor:
Bingyu Pan, Yingfei Sun, Bin Xie, Zhipei Huang, Jiankang Wu, Jiateng Hou, Yijun Liu, Zhen Huang, Zhiqiang Zhang
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Motor system uses muscle synergies as a modular organization to simplify the control of movements. Motor cortical impairments, such as stroke and spinal cord injuries, disrupt the orchestration of the muscle synergies and result in abnormal movements
Externí odkaz:
https://doaj.org/article/818d7032f1484d709e019be31f699d8a
Publikováno v:
Sensors, Vol 16, Iss 12, p 2018 (2016)
This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (
Externí odkaz:
https://doaj.org/article/24a8ee5a8d154e819911f9ac5e7f740b
Publikováno v:
Technology and Health Care. 26:909-920
Background Hill-type musculotendon models are most commonly used in biomechanical simulations for their computational efficacy and efficiency. But these models are generally built for maximally-activated muscles and linearly scale muscle properties w
Autor:
Zhen Huang, Yingfei Sun, Zhipei Huang, Bin Xie, Jiankang Wu, Jiateng Hou, Bingyu Pan, Yijun Liu
Publikováno v:
Internet of Things ISBN: 9783030028183
Advances in Body Area Networks I
Advances in Body Area Networks I
Quantitative and efficient measurement of motor impairment level is of vital importance in stroke rehabilitation. This paper investigates the muscle synergistic patterns and kinematic sensor data of upper limb reaching in stroke patients with differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a34b067ead894093ea0de82bde21b00
https://doi.org/10.1007/978-3-030-02819-0_33
https://doi.org/10.1007/978-3-030-02819-0_33
Publikováno v:
Internet of Things ISBN: 9783030028183
Advances in Body Area Networks I
Advances in Body Area Networks I
Muscle force estimation opens up the possibility of objective evaluating human motion in both mechanical and physiological ways. This paper proposes an EMG-adjusted method to predict individual muscle force in the shoulder and elbow during a purposef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ec976baf22080a0033a46e83242167
https://doi.org/10.1007/978-3-030-02819-0_32
https://doi.org/10.1007/978-3-030-02819-0_32
Autor:
Bin Xie, Bingyu Pan, Zhipei Huang, Zhen Huang, Jiankang Wu, Jiateng Hou, Zhiqiang Zhang, Yingfei Sun, Yijun Liu
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Vol 12 (2018)
Frontiers in Computational Neuroscience, Vol 12 (2018)
Motor system uses muscle synergies as a modular organization to simplify the control of movements. Motor cortical impairments, such as stroke and spinal cord injuries, disrupt the orchestration of the muscle synergies and result in abnormal movements
Publikováno v:
Sensors; Volume 16; Issue 12; Pages: 2018
Sensors (Basel, Switzerland)
Sensors, Vol 16, Iss 12, p 2018 (2016)
Sensors (Basel, Switzerland)
Sensors, Vol 16, Iss 12, p 2018 (2016)
This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be4f7f885667174709f261572c550ed0
Publikováno v:
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES).
Hill-type models are ubiquitous in biomechanical simulations because of their computational simplicity and efficiency. But these models are designed to describe the maximally activated muscles and muscle properties are linearly scaled when they are a
Publikováno v:
2014 IEEE International Conference on Communiction Problem-solving.
Micro-sensor motion capture (MMocap) systems do not have external references. It is challenging to estimate the displacement of human CoM (Center of Mass). This is especially true when gait pattern changes. This paper presents a novel gait pattern-aw
Publikováno v:
Frontiers in Sensors. 3:14
Recently, wearable devices on human activity sensing have become increasingly popular.In this paper, we propose a new method for walking and running speed estimation. A wearable device based on a tri-axial accelerometer is fixed on the chest to recor