Affiliation:
1. Department of Materials, Textiles and Chemical Engineering , Ghent University , Ghent , Belgium
2. Jimma Institute of Technology , Jimma University , Jimma , Ethiopia
Abstract
Abstract
Electroencephalogram (EEG) is the biopotential recording of electrical signals generated by brain activity. It is useful for monitoring sleep quality and alertness, clinical applications, diagnosis, and treatment of patients with epilepsy, disease of Parkinson and other neurological disorders, as well as continuous monitoring of tiredness/alertness in the field. We provide a review of textile-based EEG. Most of the developed textile-based EEGs remain on shelves only as published research results due to a limitation of flexibility, stickability, and washability, although the respective authors of the works reported that signals were obtained comparable to standard EEG. In addition, nearly all published works were not quantitatively compared and contrasted with conventional wet electrodes to prove feasibility for the actual application. This scenario would probably continue to give a publication credit, but does not add to the growth of the specific field, unless otherwise new integration approaches and new conductive polymer composites are evolved to make the application of textile-based EEG happen for bio-potential monitoring.
Subject
General Materials Science
Reference62 articles.
1. Chetna, M., Shah, S. (2008). Diseases of the brain and nervous system caution. Team Spirit (India) Pvt. Ltd (Ahmedabad).
2. Matilla-dueñas, A., Corral-juan, M. (2017). Rare diseases epidemiology: update and overview, vol. 1031, Springer International Publishing.
3. Beniczky, S., Polster, T., Kjaer, T. W., Hjalgrim, H. (2013). Detection of generalized tonic–clonic seizures by a wireless wrist accelerometer: A prospective, multicenter study. Epilepsia, 54(4), 1–4.
4. Kusmakar, S., Karmakar, C. K., Yan, B., O’Brien, T. J., Muthuganapathy, R., Palaniswami, M. (2019). Automated detection of convulsive seizures using a wearable accelerometer device. IEEE Transactions on Biomedical Engineering, 66(2), 421–432.
5. Halford, J. J., Sperling, M. R., Nair, D. R., Dlugos, D. J., Tatum, W. O., et al. (2017). Detection of generalized tonic–clonic seizures using surface electromyographic monitoring. Epilepsia, 58(11), 1861–1869.
Cited by
37 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献