Digital Library[ Search Result ]
Survey of EEG Neurofeedback methods for Attention Improvement
Hyunji Kim, Daeun Gwon, Kyungho Won, Sung Chan Jun, Minkyu Ahn
http://doi.org/10.5626/JOK.2021.48.10.1105
Neurofeedback is a method through which a user self-regulates the brain state using the feedback of his/her own brain signal. This can be used to restore or improve brain functions. In this study, we reviewed 108 articles on electroencephalogram (EEG) neurofeedback for attention improvement and surveyed the important parameters. As a result, we found that most studies were conducted with patient subjects and mostly brain signals were recorded from central areas on the scalp by using wet and wire EEG systems. Sensory-motor-rhythm or the ratio between theta and low beta rhythms were used as attention index, and this information was provided to users through auditory or visual stimuli. In addition, Continuous Performance Test or Go/NoGo test was employed for behavior evaluation. Based on these results, we suggest the following directions for the further advancement of the practical neurofeedback system; the future work should target non-patient subjects and utilize wireless/dry EEG devices and virtual/augmented reality for increasing user convenience and building more immersive application. Lastly, a standard or guide for developing usable neurofeedback applications should be established.
An Open Source Based Assistive Clinical Application Development for Movement Disorder
Jaekyung Ha, Hyojeong Hwangbo, Hyojeong Gwon, Jihyun Jang, Suhan Bae, Daeun Yun, Yeonsu Kim, Hyunjin Yun, Yein Lee, Young Goo Kim, Minkyu Ahn
http://doi.org/10.5626/JOK.2021.48.5.518
Movement disorders, such as Parkinson"s disease and Essential tremor, are usually assessed using behavioral tests or clinical questionnaires. The assessment typically involves filling in questionnaires or observation by clinicians. Because of the nature of the process, data and records are not well organized and managed; consequently, accurate assessment may be difficult. In this study, we developed an open-source based application running on Tablet PC. Two clinical questionnaires (e.g. Unified Parkinson’s disease Rating Scale and Clinical rating scale of tremor) were implemented, and the application provides efficient management of assessment records. Two behavioral tests (e.g. line and spiral drawing) that are frequently used are also implemented for quick diagnosis. The source code for the application and user/developer manuals are currently open through the web repository (github), thus anyone can easily download and uses it or clinical or research purposes.
OpenViBE2Unity: Open Source API for Brain-Computer Interface and Unity3D Application
Sooyong Kim, Seongjoon Jeong, Eunmin Lee, Sunghan Lee, Sung Chan Jun, Minkyu Ahn
http://doi.org/10.5626/JOK.2019.46.11.1157
Brain-computer interface, which can quantify a person’s intention, cognition, and feelings, is an active research field. However, building a system that performs well is not a simple task, as it requires data acquisition, real-time processing, and multimodal feedback, and often necessitates considerable cost in time and effort, particularly for untrained users and researchers. Thus, it is important to have an interface that is designed well and works with open platforms, such as Unity3D and OpenViBE that are used widely in BCI development and application. With this goal, we developed OpenViBE2Unity (O2U), an Application Programming Interface that can be used easily for the development of BCI applications. This open API (available through Github) provides special functions that facilitate communication between two popular platforms, OpenViBE and Unity3D. In this paper, we introduce O2U’s architecture and a step-by-step procedure for its application. Finally, we demonstrate one exemplary application developed under O2U.
A Survey of Movement Symptom and Quantification Method in Parkinson’s Disease
Daeun Gwon, Yoseop Kim, Sangjun Kim, Myeonghu Song, Minkyu Ahn
http://doi.org/10.5626/JOK.2019.46.4.308
Parkinson’s disease (PD) is a neurodegenerative disease that causes abnormal motor symptoms such as tremor, bradykinesia, stiffness, and postural instability. The number of patients with PD is increasing worldwide. Therefore, it is of great importance to delay the progression of PD through early diagnosis and treatment or to provide appropriate treatment and continuous assistance to PD patients through regular examination to determine changes in their symptoms and the rate of disease progression. In this paper, we investigated motor disease symptoms (tremor, stiffness and bradykinesia) caused by PD and methods that quantified it by engineering. In addition, 67 papers (24 in Korea and 43 abroad) directly related to quantification methods of Parkinsonian motor symptoms were investigated through domestic and international searches of published research papers. As a result of the search, it was confirmed that acceleration / angular velocity (46%) and electromyography (22.7%) were most widely used both in domestic and international research for quantification of movement disorders (tremor, stiffness, bradykinesia) and UPDRS (Unified Parkinson’s Disease Rating Scale) was the most widely used scale (78%, N = 55) to compare and confirm results of such methods.
Search
Journal of KIISE
- ISSN : 2383-630X(Print)
- ISSN : 2383-6296(Electronic)
- KCI Accredited Journal
Editorial Office
- Tel. +82-2-588-9240
- Fax. +82-2-521-1352
- E-mail. chwoo@kiise.or.kr