Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator
Local field potential (LFP) recorded by sensing-enabled neurostimulators provided chronic observation of deep brain activities for the research of brain disorders. However, the contamination from the electrocardiogram (ECG) deteriorated the extraction of effective information from LFP. This study pr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10352332/ |
| _version_ | 1797354537152937984 |
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| author | Jiayuan He Botao Xiong Qigang Ran Tao Zhang Wei Wang Wei Zhang Ning Jiang |
| author_facet | Jiayuan He Botao Xiong Qigang Ran Tao Zhang Wei Wang Wei Zhang Ning Jiang |
| author_sort | Jiayuan He |
| collection | DOAJ |
| description | Local field potential (LFP) recorded by sensing-enabled neurostimulators provided chronic observation of deep brain activities for the research of brain disorders. However, the contamination from the electrocardiogram (ECG) deteriorated the extraction of effective information from LFP. This study proposed a novel algorithm based on minimizing the variance combining template subtraction to improve the performance of ECG artifact removal for LFP. Four patients with implanted electrodes were recruited, and eight real LFP records were collected from their left and right hemispheres, respectively. The results showed that the proposed method improved the accuracy of artifact peak detection in LFP, and the subsequent signal quality after template subtraction compared to the traditional Pan-Tompkins (PT) method. The outcome of this study benefited the LFP-based brain research, promoting the application of sensing-enabled neurostimulators in more areas. |
| first_indexed | 2024-03-08T13:51:51Z |
| format | Article |
| id | doaj.art-047d97640707406fa9d784e10536c137 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-08T13:51:51Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-047d97640707406fa9d784e10536c1372024-01-16T00:00:26ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102024-01-01329410110.1109/TNSRE.2023.334116010352332Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From NeurostimulatorJiayuan He0https://orcid.org/0000-0001-9915-2108Botao Xiong1Qigang Ran2Tao Zhang3https://orcid.org/0000-0002-2891-4213Wei Wang4Wei Zhang5https://orcid.org/0000-0003-3113-9577Ning Jiang6https://orcid.org/0000-0003-1579-3114National Clinical Research Center for Geriatrics, West China Hospital, and the Med-X Center for Manufacturing, Sichuan University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaMental Health Education Center and the School of Science, Xihua University, Chengdu, ChinaMental Health Education Center and the School of Science, Xihua University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaPsychiatric Laboratory and the Mental Health Center, West China Hospital, Sichuan University, Chengdu, ChinaNational Clinical Research Center for Geriatrics, West China Hospital, and the Med-X Center for Manufacturing, Sichuan University, Chengdu, ChinaLocal field potential (LFP) recorded by sensing-enabled neurostimulators provided chronic observation of deep brain activities for the research of brain disorders. However, the contamination from the electrocardiogram (ECG) deteriorated the extraction of effective information from LFP. This study proposed a novel algorithm based on minimizing the variance combining template subtraction to improve the performance of ECG artifact removal for LFP. Four patients with implanted electrodes were recruited, and eight real LFP records were collected from their left and right hemispheres, respectively. The results showed that the proposed method improved the accuracy of artifact peak detection in LFP, and the subsequent signal quality after template subtraction compared to the traditional Pan-Tompkins (PT) method. The outcome of this study benefited the LFP-based brain research, promoting the application of sensing-enabled neurostimulators in more areas.https://ieeexplore.ieee.org/document/10352332/Local field potential (LFP)template subtractionartifact removalsensing-enabled neurostimulator |
| spellingShingle | Jiayuan He Botao Xiong Qigang Ran Tao Zhang Wei Wang Wei Zhang Ning Jiang Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator IEEE Transactions on Neural Systems and Rehabilitation Engineering Local field potential (LFP) template subtraction artifact removal sensing-enabled neurostimulator |
| title | Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator |
| title_full | Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator |
| title_fullStr | Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator |
| title_full_unstemmed | Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator |
| title_short | Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator |
| title_sort | variation minimization based electrocardiogram artifacts removal for local field potentials from neurostimulator |
| topic | Local field potential (LFP) template subtraction artifact removal sensing-enabled neurostimulator |
| url | https://ieeexplore.ieee.org/document/10352332/ |
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