| Autor: |
Richard James Sugden, Viet-Linh Luke Pham-Kim-Nghiem-Phu, Ingrid Campbell, Alberto Leon, Phedias Diamandis |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Bioelectronic Medicine, Vol 9, Iss 1, Pp 1-11 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2332-8886 |
| DOI: |
10.1186/s42234-023-00114-5 |
| Popis: |
Abstract Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which restrict both testing contexts and repeated longitudinal measures. The emergence of low-cost “wearable” EEG devices now provides the prospect of frequent and remote monitoring of the human brain for a variety of physiological and pathological brain states. In this manuscript, we survey evidence that EEG wearables provide high-quality data and review various software used for remote data collection. We then discuss the growing body of evidence supporting the feasibility of remote and longitudinal EEG data collection using wearables including a discussion of potential biomedical applications of these protocols. Lastly, we discuss some additional challenges needed for EEG wearable research to gain further widespread adoption. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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