ECG QT-I nterval Measurement Using Wavelet Transformation
Wavelet transformation, with its markedly high time resolution, is an optimal technique for the analysis of non-stationary waveform signals, such as physiological signals. Therefore, wavelet transformation is widely applied to electrocardiographic (ECG) signal processing. However, an appropriate app...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/16/4578 |
| _version_ | 1827709649422385152 |
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| author | Takao Ohmuta Kazuyuki Mitsui Nitaro Shibata |
| author_facet | Takao Ohmuta Kazuyuki Mitsui Nitaro Shibata |
| author_sort | Takao Ohmuta |
| collection | DOAJ |
| description | Wavelet transformation, with its markedly high time resolution, is an optimal technique for the analysis of non-stationary waveform signals, such as physiological signals. Therefore, wavelet transformation is widely applied to electrocardiographic (ECG) signal processing. However, an appropriate application method for automated QT-interval measurement has yet to be established. In this study, we developed an ECG recognition technique using wavelet transformation and assessed its efficacy and functionality. The results revealed that the difference between the values obtained using our algorithm and the visually measured QT interval was as low as 4.8 ms. Our technique achieves precise automated QT-interval measurement, as well as Te recognition, that is difficult to accomplish even by visual examination under the electromyography noise environment. |
| first_indexed | 2024-03-10T17:24:53Z |
| format | Article |
| id | doaj.art-f0782aedd7a345bbafac56c2991242fc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T17:24:53Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f0782aedd7a345bbafac56c2991242fc2023-11-20T10:14:33ZengMDPI AGSensors1424-82202020-08-012016457810.3390/s20164578ECG QT-I nterval Measurement Using Wavelet TransformationTakao Ohmuta0Kazuyuki Mitsui1Nitaro Shibata2Department of Clinical Engineering, Faculty of Medical Engineering, Suzuka University of Medical Science, Mie 510-0293, JapanDepartment of Advanced Machinery Engineering, School of Engineering, Tokyo Denki University, Tokyo 120-8551, JapanShinjuku Mitsui Building Clinic, Tokyo 163-0404, JapanWavelet transformation, with its markedly high time resolution, is an optimal technique for the analysis of non-stationary waveform signals, such as physiological signals. Therefore, wavelet transformation is widely applied to electrocardiographic (ECG) signal processing. However, an appropriate application method for automated QT-interval measurement has yet to be established. In this study, we developed an ECG recognition technique using wavelet transformation and assessed its efficacy and functionality. The results revealed that the difference between the values obtained using our algorithm and the visually measured QT interval was as low as 4.8 ms. Our technique achieves precise automated QT-interval measurement, as well as Te recognition, that is difficult to accomplish even by visual examination under the electromyography noise environment.https://www.mdpi.com/1424-8220/20/16/4578wavelet transformECG recognitionQT interval |
| spellingShingle | Takao Ohmuta Kazuyuki Mitsui Nitaro Shibata ECG QT-I nterval Measurement Using Wavelet Transformation Sensors wavelet transform ECG recognition QT interval |
| title | ECG QT-I nterval Measurement Using Wavelet Transformation |
| title_full | ECG QT-I nterval Measurement Using Wavelet Transformation |
| title_fullStr | ECG QT-I nterval Measurement Using Wavelet Transformation |
| title_full_unstemmed | ECG QT-I nterval Measurement Using Wavelet Transformation |
| title_short | ECG QT-I nterval Measurement Using Wavelet Transformation |
| title_sort | ecg qt i nterval measurement using wavelet transformation |
| topic | wavelet transform ECG recognition QT interval |
| url | https://www.mdpi.com/1424-8220/20/16/4578 |
| work_keys_str_mv | AT takaoohmuta ecgqtintervalmeasurementusingwavelettransformation AT kazuyukimitsui ecgqtintervalmeasurementusingwavelettransformation AT nitaroshibata ecgqtintervalmeasurementusingwavelettransformation |