A Personalised ear-EEG Device
Access status:
Open Access
Type
ThesisThesis type
Masters by ResearchAuthor/s
Yu, LepingAbstract
This Master of Philosophy thesis explores the potential of using 3D printing technology to create a personalised ear-EEG device capable of measuring EEG signals within the human brain from the ear. The device features a tripolar electrode and can be customised to fit any ear shape, ...
See moreThis Master of Philosophy thesis explores the potential of using 3D printing technology to create a personalised ear-EEG device capable of measuring EEG signals within the human brain from the ear. The device features a tripolar electrode and can be customised to fit any ear shape, ensuring a comfortable fit for all patients. Another proposed solution is also made with low cost components. To validate the performance of the ear-EEG device, various tests were conducted, including Auditory Steady-State Response (ASSR), alpha modulation, Passive Oddball (MMN), Active Oddball (P300), and Directional Hearing (N100). The results from these tests were analysed using different methods, demonstrating that the ear-EEG device performs comparably to traditional scalp-EEG in response to auditory stimuli. The findings also suggest that the device holds promise for applications in brain-computer interfaces (BCI) and seizure detection in the future development. The future technologies and possible applications for the ear-EEG has been explored.
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See moreThis Master of Philosophy thesis explores the potential of using 3D printing technology to create a personalised ear-EEG device capable of measuring EEG signals within the human brain from the ear. The device features a tripolar electrode and can be customised to fit any ear shape, ensuring a comfortable fit for all patients. Another proposed solution is also made with low cost components. To validate the performance of the ear-EEG device, various tests were conducted, including Auditory Steady-State Response (ASSR), alpha modulation, Passive Oddball (MMN), Active Oddball (P300), and Directional Hearing (N100). The results from these tests were analysed using different methods, demonstrating that the ear-EEG device performs comparably to traditional scalp-EEG in response to auditory stimuli. The findings also suggest that the device holds promise for applications in brain-computer interfaces (BCI) and seizure detection in the future development. The future technologies and possible applications for the ear-EEG has been explored.
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Date
2025Rights statement
The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.Faculty/School
Faculty of Engineering, School of Biomedical EngineeringAwarding institution
The University of SydneyShare