Research on the real-time control system of lower-limb gait movement based on motor imagery and central pattern generator

Shen, Xipeng; Wang, Xuemei; Lu, Song; Li, Zhiling; Shao, Wei; Wu, Yan

doi:10.1016/j.bspc.2021.102803

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…The autonomously generated signal can be combined with the control signal from the higher centre to generate gait movements. 12,13 In a previous study, 14 we found a specific CPG site on the right side of the rat spinal cord. In particular, rats can be induced to move the left hindlimb flexion and the right hindlimb extension by stimulating this site with positive pulses, while negative-pulse stimulation induces the opposite motion.…”

Section: Introductionmentioning

confidence: 61%

Gait regulation of hindlimb based on central pattern generator in rats with a spinal cord injury

Shen

Lou

Shao

et al. 2022

Proc Inst Mech Eng H

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A spinal stimulator that can regulate hindlimb movements using monopolar stimulation has not been developed yet. Nevertheless, in a previous study, we found a specific central pattern generator site on the right side of the rat spinal cord. By stimulating these sites with certain pulse signals, the alternating movement of the hindlimb can be obtained using fewer electrodes. Therefore, in this research, considering the specific central pattern generator site as the target, functional electrical stimulation was performed on rats with spinal cord injury using monopolar stimulation. Angle sensors were used to track and capture the knee joint angle data of the right hindlimb; thus, the mapping relationship between the voltage amplitude and the knee angle parameters was established. Based on this relationship, the rats’ hindlimb were controlled. Compared with the traditional spinal stimulator, the proposed approach increases the gait feedback, requires fewer electrodes, and simplifies the timing of stimulation. The rats with spinal cord injury were subjected to stimulation training for half an hour every day for 28 consecutive days. The Basso, Beattie and Bresnahan score showed that 76% of the health level could be achieved on the 28th day. Finally, somatosensory evoked potential analysis showed that the measurement results were close to the standard value on the 28th day. This study lays a foundation for future rehabilitation research on the hindlimb.

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Section: Introductionmentioning

confidence: 61%

Gait regulation of hindlimb based on central pattern generator in rats with a spinal cord injury

Shen

Lou

Shao

et al. 2022

Proc Inst Mech Eng H

Self Cite

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“…However, compared with the field of building physics [20,21], building structure [22], and other areas [23,24], the relationship between human physiological data and spatial elements established in the above research does not seem to be accurate to the quantitative level, and the overall optimization suggestions prefer qualitative suggestions.…”

Section: Introductionmentioning

confidence: 89%

Research on Real-Time Interactive Spatial Element Optimization Method Based on EEG Signal—Taking Indoor Space Color and Window Opening Size as the Optimization Object

Zhang

Guo

2023

Computational Design and Robotic Fabrication

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In recent years, the research on digital design and perceptual evaluation has gradually become a hot topic in the field of digital design. Based on digital space optimization theory and perceptual evaluation tools, this study attempts to establish an optimization method to optimize built space elements in real-time using human psychological indicators. This method takes the specific indicators of the Meditation value and Attention value in the human EEG signal analyzed by the TGAM module as the optimization objective, the architectural space color and the window size as the optimization object, and the multi-objective genetic algorithm as the optimization tool. To realize this optimization method, this research combines virtual reality scene and parametric linkage model to establish tool platform and workflow. Taking the optimization of typical residential space as an example by recruiting 50 volunteers to participate in the experiment, this study concludes that this method is effective and feasible through experiment and quantitative analysis of experimental results and lays the foundation for more EEG indicators and more complex spatial element optimization research in the future.

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“…Compared with the field of building physics (Lakhdari et al, 2021 ) (Suga et al, 2010 ), building structures (Li, 2012 ) and other areas (Aljalal et al, 2020 ) (Shen et al, 2021 ), the relationship between human physiological data and spatial elements established in the above research does not seem to be accurate on a quantitative level, with the overall optimisation studies preferring qualitative suggestions. Huang Weixin of Tsinghua University used the IGA (interactive genetic algorithm) system to make subjects select a site, calculate and iterate according to the selection, and finally get a better parameter value of indoor space elements, thus opening up a precedent for the optimisation of perceptual engineering iterative algorithms.…”

Section: Introductionmentioning

confidence: 89%

EEG-based spatial elements optimisation design method

Zhang

Guo

2022

ARIN

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In the field of digital design, a recent hot topic is the study of the interaction between spatial environment design and human factors. Electroencephalogram (EEG) and eye tracking can be used as quantitative analysis methods for architectural space evaluation; however, conclusions from existing studies on improving the quality of spatial environments based on human factors tend to remain qualitative. In order to realise the quantitative optimisation design of spatial elements from human physiological data, this research used the digital space optimisation method and perceptual evaluation research. In this way, it established an optimisation method for built space elements in real-time using human psychological indicators. Firstly, this method used the specific indicators of the Meditation value and Attention value in the human EEG signal, taking the ThinkGear AM (TGAM) module as the optimisation objective, the architectural space colour and the window size as the optimisation object, and the multi-objective genetic algorithm as the optimisation tool. Secondly, this research combined virtual reality scenarios and parametric linkage models to realise this optimisation method to establish a tool platform and workflow. Thirdly, this study took the optimisation of a typical living space as an example and recruited 50 volunteers to participate in an optimisation experiment. The results indicated that with the iterative optimisation of the multi-objective genetic algorithm, the specific EEG index decreases significantly and the standard deviation of the in-dex fluctuates and decreases during the iterative process, which further indicates that the optimisation method established in this study with the specific EEG index as the optimisation objective is effective and feasible. In addition, this study laid the foundation for more EEG indicators and more complex spatial element opti-misation research in the future.

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Research on the real-time control system of lower-limb gait movement based on motor imagery and central pattern generator

Cited by 12 publications

References 19 publications

Gait regulation of hindlimb based on central pattern generator in rats with a spinal cord injury

Gait regulation of hindlimb based on central pattern generator in rats with a spinal cord injury

Research on Real-Time Interactive Spatial Element Optimization Method Based on EEG Signal—Taking Indoor Space Color and Window Opening Size as the Optimization Object

EEG-based spatial elements optimisation design method

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