Open access · US-GOV via ClinicalTrials.gov Clinical trial

Effects of Different Parameter Settings on the Classification Accuracy of P300-BCI Speller in Elderly Adults with and Without Mild Cognitive Impairments

Authors not listed

University of Sheffield · 2024

Stem-cell exhaustion Human Randomized controlled trial

Abstract

The study will investigate the use of Electroencephalography (EEG) in understanding mild cognitive impairment (MCI). EEG is commonly used in everyday clinical practice for the assessment of a wide range of neurological disorders. It records the brains spontaneous electrical signals and offers a non-invasive means of visually evaluating brain signals. By analysing these signals, we aim to uncover invaluable insights into cognitive impairments and the ageing brains cognitive processes.

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Provenance

Source: ClinicalTrials.gov
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Fetched: 2026-10-08 MST

Cite this

APA

Anonymous. (2024). Effects of Different Parameter Settings on the Classification Accuracy of P300-BCI Speller in Elderly Adults with and Without Mild Cognitive Impairments. <em>University of Sheffield</em>. https://clinicaltrials.gov/study/NCT06628427

Vancouver

Anonymous. Effects of Different Parameter Settings on the Classification Accuracy of P300-BCI Speller in Elderly Adults with and Without Mild Cognitive Impairments. University of Sheffield. 2024.

BibTeX

@misc{anon2024Effect, title = {Effects of Different Parameter Settings on the Classification Accuracy of P300-BCI Speller in Elderly Adults with and Without Mild Cognitive Impairments}, author = {Anonymous}, journal = {University of Sheffield}, year = {2024}, }