Adaptive Denoising and Multiscale Detection of the V Wave in Brainstem Auditory Evoked Potentials
Author:
Publisher
S. Karger AG
Subject
Speech and Hearing,Sensory Systems,Otorhinolaryngology,Physiology
Cited by 14 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
1. Machine learning approaches used to analyze auditory evoked responses from the human auditory brainstem: A systematic review;Computer Methods and Programs in Biomedicine;2022-11
2. Power Line Interference Removal From Short-Latency Evoked Potentials Using Digital Time-Efficient Selective Elliptic Notch Filter;IEEE Transactions on Instrumentation and Measurement;2022
3. Investigation of Time-Domain and Frequency-Domain Based Features to Classify the EEG Auditory Evoked Potentials (AEPs) Responses;Lecture Notes in Electrical Engineering;2021-07-16
4. Automated extraction of auditory brainstem response latencies and amplitudes by means of non-linear curve registration;Computer Methods and Programs in Biomedicine;2020-11
5. Human recognition using transient auditory evoked potentials: a preliminary study;IET Biometrics;2018-02-27
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