Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation
Transcranial magnetic stimulation (TMS) has been proved to be effective in the treatment of many kinds of mental diseases. However, the clicking noise produced by the pulse current with large amplitude and short duration in the TMS coil may damage the hearing of patients. The heat produced by the hi...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402300748X |
| _version_ | 1811161737398845440 |
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| author | Ziqi Zhang Chang Liu Jihui Hu Hongfa Ding Zhou He Yongxiu Song Jiannan Shao Dandi Zhang |
| author_facet | Ziqi Zhang Chang Liu Jihui Hu Hongfa Ding Zhou He Yongxiu Song Jiannan Shao Dandi Zhang |
| author_sort | Ziqi Zhang |
| collection | DOAJ |
| description | Transcranial magnetic stimulation (TMS) has been proved to be effective in the treatment of many kinds of mental diseases. However, the clicking noise produced by the pulse current with large amplitude and short duration in the TMS coil may damage the hearing of patients. The heat produced by the high-frequency pulse current in the coil also reduces the efficiency of TMS equipment. A multi-objective waveform optimization method to improve heat and noise problems at the same time is presented. By analyzing the current waveforms of TMS, the relationship between the current and the vibration energy/Joule heating is established. Taking the Joule heating and the vibration energy as the optimization objectives, exceeding the same amount of neuronal membrane potential as the limiting condition, the Pareto fronts of different current models are obtained by applying the multi-objective particle swarm optimization algorithm (MOPSO). Therefore, the corresponding current waveforms are inversely deduced. A ringing suppression cTMS (RS-cTMS) proof-of-principle experimental platform is constructed. The feasibility of the proposed method is validated through experiments. The results show that the optimized current waveforms can greatly reduce the vibration and heating of the coil compared with the conventional full-sine, recified sine and half-sine waveforms, thus reducing the pulse noise and prolonging the using time of the equipment. The optimized diversified waveforms also provide a reference for the diversity of TMS. |
| first_indexed | 2024-04-10T06:19:28Z |
| format | Article |
| id | doaj.art-5bb9cfcd9eb248b38d8ae2e346b42e2f |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T06:19:28Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-5bb9cfcd9eb248b38d8ae2e346b42e2f2023-03-02T05:02:02ZengElsevierHeliyon2405-84402023-02-0192e13541Multi-objective optimization method for coil current waveform of transcranial magnetic stimulationZiqi Zhang0Chang Liu1Jihui Hu2Hongfa Ding3Zhou He4Yongxiu Song5Jiannan Shao6Dandi Zhang7Wuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaChangjiang Institute of Survey, Planning, Design and Research, Wuhan, ChinaSchool of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China; Corresponding author.Wuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaWuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaWuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaWuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaWuhan National High Magnetic Field Center, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaTranscranial magnetic stimulation (TMS) has been proved to be effective in the treatment of many kinds of mental diseases. However, the clicking noise produced by the pulse current with large amplitude and short duration in the TMS coil may damage the hearing of patients. The heat produced by the high-frequency pulse current in the coil also reduces the efficiency of TMS equipment. A multi-objective waveform optimization method to improve heat and noise problems at the same time is presented. By analyzing the current waveforms of TMS, the relationship between the current and the vibration energy/Joule heating is established. Taking the Joule heating and the vibration energy as the optimization objectives, exceeding the same amount of neuronal membrane potential as the limiting condition, the Pareto fronts of different current models are obtained by applying the multi-objective particle swarm optimization algorithm (MOPSO). Therefore, the corresponding current waveforms are inversely deduced. A ringing suppression cTMS (RS-cTMS) proof-of-principle experimental platform is constructed. The feasibility of the proposed method is validated through experiments. The results show that the optimized current waveforms can greatly reduce the vibration and heating of the coil compared with the conventional full-sine, recified sine and half-sine waveforms, thus reducing the pulse noise and prolonging the using time of the equipment. The optimized diversified waveforms also provide a reference for the diversity of TMS.http://www.sciencedirect.com/science/article/pii/S240584402300748XTranscranial magnetic stimulationMOPSOJoule heatingVibration energyMembrane potentialIntracranial induced electric field |
| spellingShingle | Ziqi Zhang Chang Liu Jihui Hu Hongfa Ding Zhou He Yongxiu Song Jiannan Shao Dandi Zhang Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation Heliyon Transcranial magnetic stimulation MOPSO Joule heating Vibration energy Membrane potential Intracranial induced electric field |
| title | Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation |
| title_full | Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation |
| title_fullStr | Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation |
| title_full_unstemmed | Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation |
| title_short | Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation |
| title_sort | multi objective optimization method for coil current waveform of transcranial magnetic stimulation |
| topic | Transcranial magnetic stimulation MOPSO Joule heating Vibration energy Membrane potential Intracranial induced electric field |
| url | http://www.sciencedirect.com/science/article/pii/S240584402300748X |
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