An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications
We developed a new type of electroencephalogram (EEG) headset system with comb-shaped electrodes that enables the wearer to quickly don and utilize it in daily life. Two models that can measure EEG signals using up to eight channels have been implemented. The electrodes implemented in the headsets a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/7/1537 |
| _version_ | 1811306581480964096 |
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| author | Jeehoon Kim Jeongsu Lee Chungmin Han Kwangsuk Park |
| author_facet | Jeehoon Kim Jeongsu Lee Chungmin Han Kwangsuk Park |
| author_sort | Jeehoon Kim |
| collection | DOAJ |
| description | We developed a new type of electroencephalogram (EEG) headset system with comb-shaped electrodes that enables the wearer to quickly don and utilize it in daily life. Two models that can measure EEG signals using up to eight channels have been implemented. The electrodes implemented in the headsets are similar to a comb and are placed quickly by wiping the hair (as done with a comb) using the headset. To verify this headset system, donning time was measured and three brain computer interface (BCI) application experiments were conducted. Alpha rhythm-based, steady-state visual evoked potential (SSVEP)-based, and auditory steady state response (ASSR)-based BCI systems were adopted for the validation experiments. Four subjects participated and ten trials were repeated in the donning experiment. The results of the validation experiments show that reliable EEG signal measurement is possible immediately after donning the headsets without any preparation. It took approximately 10 s for healthy subjects to don the headsets, including an earclip with reference and ground electrodes. The results of alpha rhythm-based BCI showed 100% accuracy. Furthermore, the results of SSVEP-based and ASSR-based BCI experiments indicate that performance is sufficient for BCI applications; 95.7% and 76.0% accuracies were obtained, respectively. The results of BCI paradigm experiments indicate that the new headset type is feasible for various BCI applications. |
| first_indexed | 2024-04-13T08:47:52Z |
| format | Article |
| id | doaj.art-8d2bbcbc546647d2898a05fce844610e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:47:52Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8d2bbcbc546647d2898a05fce844610e2022-12-22T02:53:37ZengMDPI AGSensors1424-82202019-03-01197153710.3390/s19071537s19071537An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI ApplicationsJeehoon Kim0Jeongsu Lee1Chungmin Han2Kwangsuk Park3Interdisciplinary Program of Bioengineering, Seoul National University, Seoul 03080, KoreaMobile Communication Business, Samsung Electronics Co. Ltd.; 130 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 16678, KoreaDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USAInterdisciplinary Program of Bioengineering, Seoul National University, Seoul 03080, KoreaWe developed a new type of electroencephalogram (EEG) headset system with comb-shaped electrodes that enables the wearer to quickly don and utilize it in daily life. Two models that can measure EEG signals using up to eight channels have been implemented. The electrodes implemented in the headsets are similar to a comb and are placed quickly by wiping the hair (as done with a comb) using the headset. To verify this headset system, donning time was measured and three brain computer interface (BCI) application experiments were conducted. Alpha rhythm-based, steady-state visual evoked potential (SSVEP)-based, and auditory steady state response (ASSR)-based BCI systems were adopted for the validation experiments. Four subjects participated and ten trials were repeated in the donning experiment. The results of the validation experiments show that reliable EEG signal measurement is possible immediately after donning the headsets without any preparation. It took approximately 10 s for healthy subjects to don the headsets, including an earclip with reference and ground electrodes. The results of alpha rhythm-based BCI showed 100% accuracy. Furthermore, the results of SSVEP-based and ASSR-based BCI experiments indicate that performance is sufficient for BCI applications; 95.7% and 76.0% accuracies were obtained, respectively. The results of BCI paradigm experiments indicate that the new headset type is feasible for various BCI applications.https://www.mdpi.com/1424-8220/19/7/1537electroencephalogramEEG headsetEEG sensorrapid EEG setupbrain computer interfacesteady-state visual evoked potentialauditory steady state response |
| spellingShingle | Jeehoon Kim Jeongsu Lee Chungmin Han Kwangsuk Park An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications Sensors electroencephalogram EEG headset EEG sensor rapid EEG setup brain computer interface steady-state visual evoked potential auditory steady state response |
| title | An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications |
| title_full | An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications |
| title_fullStr | An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications |
| title_full_unstemmed | An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications |
| title_short | An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications |
| title_sort | instant donning multi channel eeg headset with comb shaped dry electrodes and bci applications |
| topic | electroencephalogram EEG headset EEG sensor rapid EEG setup brain computer interface steady-state visual evoked potential auditory steady state response |
| url | https://www.mdpi.com/1424-8220/19/7/1537 |
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