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P300 Latency Estimation Using Least Mean Squares Filter.

作者信息

Mowla Md Rakibul, Huggins Jane E, Natarajan Balasubramaniam, Thompson David E

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1976-1979. doi: 10.1109/EMBC.2018.8512644.

Abstract

Event-related potentials (ERPs) are the brain response directly related to specific events or stimuli. The P300 ERP is a positive deflection nominally 300ms post-stimulus that is related to mental decision making processes and also used in P300-based speller systems. Single-trial estimation of P300 responses will help to understand the underlying cognitive process more precisely and also to improve the speed of speller brain-computer interfaces (BCIs). This paper aims to develop a single-trial estimation of the P300 amplitudes and latencies by using the least mean squares (LMS) adaptive filtering method. Results for real data from people with amyotrophic lateral sclerosis (ALS) have shown that the LMS filter can be effectively used to estimate P300 latencies.

摘要

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