@inproceedings{5adf0e263c934034bd8d2c12c5c60a4e,
title = "The Characteristics and Modeling of the Surface Electromyography and Electrocardiogram of Human Fatigue During Pedaling",
abstract = "The fatigue of the pedaling exercise was studied in order to establish a fatigue analysis and evaluation model of the human pedaling. Twelve subjects participated in the pedaling test and the subjects completed six types of pedaling tasks at frequencies of 20, 30, 40, 50, and 60 times/min. Subjective fatigue, ECG signals, and surface EMG signals of subjects were measured. Principal component analysis (PCA) was used to extract the important indicators related to fatigue in sEMG signals and ECG signals, and the sEMG signal and ECG signal fatigue evaluation index were combined with the subjective fatigue evaluation data to establish the radial basis model of fatigue evaluation. The model based verification results show that the radial basis model has good accuracy and can effectively evaluate the pedaling fatigue.",
keywords = "ECG, Mechanical characteristics, Modeling, Pedaling movement, sEMG",
author = "Zhongqi Liu and Xiaoze Yu and Qianxiang Zhou",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 21st International Conference on Human-Computer Interaction, HCI International 2019 ; Conference date: 26-07-2019 Through 31-07-2019",
year = "2019",
doi = "10.1007/978-3-030-23528-4\_34",
language = "英语",
isbn = "9783030235277",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "244--249",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings",
address = "德国",
}