Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat
The detection of fatigue level is important because it is the main reason of sudden death. This research depended on the average heartbeat of the electrocardiogram signal, and the features were extracted from its high frequency components. Therefore, there is great need to transform signal into freq...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2020-06-01
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| Series: | Nano Biomedicine and Engineering |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.5101/nbe.v12i2.p132-138 |
| _version_ | 1797673356446662656 |
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| author | Mousa Kadhim Wali |
| author_facet | Mousa Kadhim Wali |
| author_sort | Mousa Kadhim Wali |
| collection | DOAJ |
| description | The detection of fatigue level is important because it is the main reason of sudden death. This research depended on the average heartbeat of the electrocardiogram signal, and the features were extracted from its high frequency components. Therefore, there is great need to transform signal into frequency domain by discrete wavelet transform. In this research, 6 features were supplied to probabilistic neural network which gave accuracy of 60.56% of detecting high level among other levels of medium and low fatigue. This research studied the fatigue on 40 students due to mathematical exercises in a noisy environment with different stimuli. |
| first_indexed | 2024-03-11T21:43:20Z |
| format | Article |
| id | doaj.art-1e3dbad7137a403fae7d3b78e3ca2ccf |
| institution | Directory Open Access Journal |
| issn | 2150-5578 |
| language | English |
| last_indexed | 2024-03-11T21:43:20Z |
| publishDate | 2020-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Nano Biomedicine and Engineering |
| spelling | doaj.art-1e3dbad7137a403fae7d3b78e3ca2ccf2023-09-26T11:04:03ZengTsinghua University PressNano Biomedicine and Engineering2150-55782020-06-0112213213810.5101/nbe.v12i2.p132-138Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart BeatMousa Kadhim Wali0Department of Computer Engineering, College of Technical Electrical Engineering, Middle Technical University, Baghdad, IraqThe detection of fatigue level is important because it is the main reason of sudden death. This research depended on the average heartbeat of the electrocardiogram signal, and the features were extracted from its high frequency components. Therefore, there is great need to transform signal into frequency domain by discrete wavelet transform. In this research, 6 features were supplied to probabilistic neural network which gave accuracy of 60.56% of detecting high level among other levels of medium and low fatigue. This research studied the fatigue on 40 students due to mathematical exercises in a noisy environment with different stimuli.https://www.sciopen.com/article/10.5101/nbe.v12i2.p132-138electrocardiogramaverage heartbeatdiscrete wavelet transformprobabilistic neural network |
| spellingShingle | Mousa Kadhim Wali Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat Nano Biomedicine and Engineering electrocardiogram average heartbeat discrete wavelet transform probabilistic neural network |
| title | Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat |
| title_full | Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat |
| title_fullStr | Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat |
| title_full_unstemmed | Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat |
| title_short | Probabilistic Neural Network Based Fatigue Level Classification Using Electrocardiogram High Frequency Band and Average Heart Beat |
| title_sort | probabilistic neural network based fatigue level classification using electrocardiogram high frequency band and average heart beat |
| topic | electrocardiogram average heartbeat discrete wavelet transform probabilistic neural network |
| url | https://www.sciopen.com/article/10.5101/nbe.v12i2.p132-138 |
| work_keys_str_mv | AT mousakadhimwali probabilisticneuralnetworkbasedfatiguelevelclassificationusingelectrocardiogramhighfrequencybandandaverageheartbeat |