Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients
Hemiparesis is one of the common sequelae of neurological diseases such as strokes, which can significantly change the gait behavior of patients and restrict their activities in daily life. The results of gait characteristic analysis can provide a reference for disease diagnosis and rehabilitation;...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/11/2529 |
| _version_ | 1828113992564867072 |
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| author | Shanshan Tian Mengxuan Li Yifei Wang Xi Chen |
| author_facet | Shanshan Tian Mengxuan Li Yifei Wang Xi Chen |
| author_sort | Shanshan Tian |
| collection | DOAJ |
| description | Hemiparesis is one of the common sequelae of neurological diseases such as strokes, which can significantly change the gait behavior of patients and restrict their activities in daily life. The results of gait characteristic analysis can provide a reference for disease diagnosis and rehabilitation; however, gait correlation as a gait characteristic is less utilized currently. In this study, a new non-contact electrostatic field sensing method was used to obtain the electrostatic gait signals of hemiplegic patients and healthy control subjects, and an improved Detrended Cross-Correlation Analysis cross-correlation coefficient method was proposed to analyze the obtained electrostatic gait signals. The results show that the improved method can better obtain the dynamic changes of the scaling index under the multi-scale structure, which makes up for the shortcomings of the traditional Detrended Cross-Correlation Analysis cross-correlation coefficient method when calculating the electrostatic gait signal of the same kind of subjects, such as random and incomplete similarity in the trend of the scaling index spectrum change. At the same time, it can effectively quantify the correlation of electrostatic gait signals in subjects. The proposed method has the potential to be a powerful tool for extracting the gait correlation features and identifying the electrostatic gait of hemiplegic patients. |
| first_indexed | 2024-04-11T12:18:41Z |
| format | Article |
| id | doaj.art-d31c0b8173fd48e6a7499afa14be8353 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:18:41Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d31c0b8173fd48e6a7499afa14be83532022-12-22T04:24:11ZengMDPI AGSensors1424-82202019-06-011911252910.3390/s19112529s19112529Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic PatientsShanshan Tian0Mengxuan Li1Yifei Wang2Xi Chen3State Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, ChinaHemiparesis is one of the common sequelae of neurological diseases such as strokes, which can significantly change the gait behavior of patients and restrict their activities in daily life. The results of gait characteristic analysis can provide a reference for disease diagnosis and rehabilitation; however, gait correlation as a gait characteristic is less utilized currently. In this study, a new non-contact electrostatic field sensing method was used to obtain the electrostatic gait signals of hemiplegic patients and healthy control subjects, and an improved Detrended Cross-Correlation Analysis cross-correlation coefficient method was proposed to analyze the obtained electrostatic gait signals. The results show that the improved method can better obtain the dynamic changes of the scaling index under the multi-scale structure, which makes up for the shortcomings of the traditional Detrended Cross-Correlation Analysis cross-correlation coefficient method when calculating the electrostatic gait signal of the same kind of subjects, such as random and incomplete similarity in the trend of the scaling index spectrum change. At the same time, it can effectively quantify the correlation of electrostatic gait signals in subjects. The proposed method has the potential to be a powerful tool for extracting the gait correlation features and identifying the electrostatic gait of hemiplegic patients.https://www.mdpi.com/1424-8220/19/11/2529gait analysisgait correctionelectrostatic gait signalimproved Detrended Cross-Correlation Analysis cross-correlation coefficient |
| spellingShingle | Shanshan Tian Mengxuan Li Yifei Wang Xi Chen Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients Sensors gait analysis gait correction electrostatic gait signal improved Detrended Cross-Correlation Analysis cross-correlation coefficient |
| title | Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients |
| title_full | Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients |
| title_fullStr | Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients |
| title_full_unstemmed | Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients |
| title_short | Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients |
| title_sort | application of an improved correlation method in electrostatic gait recognition of hemiparetic patients |
| topic | gait analysis gait correction electrostatic gait signal improved Detrended Cross-Correlation Analysis cross-correlation coefficient |
| url | https://www.mdpi.com/1424-8220/19/11/2529 |
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