A Pilot Study on Falling-Risk Detection Method Based on Postural Perturbation Evoked Potential Features

Shenglong Jiang
Shenglong Jiang
Jie Zhang
Jie Zhang
Shufeng Zhang
Shufeng Zhang
Rui Xu
Rui Xu
Lin Meng
Lin Meng

Sensors, pp. 55542019.

Cited by: 0|Bibtex|Views4|DOI:https://doi.org/10.3390/s19245554
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|dblp.uni-trier.de

Abstract:

In the human-robot hybrid system, due to the error recognition of the pattern recognition system, the robot may perform erroneous motor execution, which may lead to falling-risk. While, the human can clearly detect the existence of errors, which is manifested in the central nervous activity characteristics. To date, the majority of studie...More

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