Design and application of electrocardiograph diagnosis system based on multifractal theory
An automatic segmentation algorithm for ECG data using differential threshold method was designed,which could identify the various ECG cycles of continuous ECG data.And it could obtain the multifractal features of multiple fractal and generalize hurst index feature of ECG data,these features were us...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-10-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00204 |
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| _version_ | 1841530188498731008 |
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| author | Chun-kai ZHANG Ao,ZHANGJing-wang YIN Pan-bo TIAN Ying ZHOU Chang-qing QI |
| author_facet | Chun-kai ZHANG Ao,ZHANGJing-wang YIN Pan-bo TIAN Ying ZHOU Chang-qing QI |
| author_sort | Chun-kai ZHANG |
| collection | DOAJ |
| description | An automatic segmentation algorithm for ECG data using differential threshold method was designed,which could identify the various ECG cycles of continuous ECG data.And it could obtain the multifractal features of multiple fractal and generalize hurst index feature of ECG data,these features were used to train artificial neural network in order to classify ECG data,the accuracy of the classifier could reach 97%.An ECG diagnosis system was implemented,which can automatically identify ECG sequences that contain multiple ECG cycles,and can automatically ignore the incomplete ECG cycle data,and could annotate every cycle of ECG data. |
| format | Article |
| id | doaj-art-1326706125a640a58b0bd5432ff31eb9 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-1326706125a640a58b0bd5432ff31eb92025-01-15T03:06:09ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-10-013627159551717Design and application of electrocardiograph diagnosis system based on multifractal theoryChun-kai ZHANGAo,ZHANGJing-wang YINPan-bo TIANYing ZHOUChang-qing QIAn automatic segmentation algorithm for ECG data using differential threshold method was designed,which could identify the various ECG cycles of continuous ECG data.And it could obtain the multifractal features of multiple fractal and generalize hurst index feature of ECG data,these features were used to train artificial neural network in order to classify ECG data,the accuracy of the classifier could reach 97%.An ECG diagnosis system was implemented,which can automatically identify ECG sequences that contain multiple ECG cycles,and can automatically ignore the incomplete ECG cycle data,and could annotate every cycle of ECG data.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00204MFDFAscale-free intervalmultifractalneural network |
| spellingShingle | Chun-kai ZHANG Ao,ZHANGJing-wang YIN Pan-bo TIAN Ying ZHOU Chang-qing QI Design and application of electrocardiograph diagnosis system based on multifractal theory 网络与信息安全学报 MFDFA scale-free interval multifractal neural network |
| title | Design and application of electrocardiograph diagnosis system based on multifractal theory |
| title_full | Design and application of electrocardiograph diagnosis system based on multifractal theory |
| title_fullStr | Design and application of electrocardiograph diagnosis system based on multifractal theory |
| title_full_unstemmed | Design and application of electrocardiograph diagnosis system based on multifractal theory |
| title_short | Design and application of electrocardiograph diagnosis system based on multifractal theory |
| title_sort | design and application of electrocardiograph diagnosis system based on multifractal theory |
| topic | MFDFA scale-free interval multifractal neural network |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00204 |
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