P300 Latency Estimation Using Least Mean Squares Filter | IEEE Conference Publication | IEEE Xplore

P300 Latency Estimation Using Least Mean Squares Filter


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...Show More

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.
Date of Conference: 18-21 July 2018
Date Added to IEEE Xplore: 28 October 2018
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ISSN Information:

PubMed ID: 30440786
Conference Location: Honolulu, HI, USA

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