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用于脑电图分析的真实生活声景实时音频处理:基于自然声音起始的事件相关电位

Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets.

作者信息

Hölle Daniel, Blum Sarah, Kissner Sven, Debener Stefan, Bleichner Martin G

机构信息

Neurophysiology of Everyday Life Group, Department of Psychology, University of Oldenburg, Oldenburg, Germany.

Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany.

出版信息

Front Neuroergon. 2022 Feb 4;3:793061. doi: 10.3389/fnrgo.2022.793061. eCollection 2022.

DOI:10.3389/fnrgo.2022.793061
PMID:38235458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10790832/
Abstract

With smartphone-based mobile electroencephalography (EEG), we can investigate sound perception beyond the lab. To understand sound perception in the real world, we need to relate naturally occurring sounds to EEG data. For this, EEG and audio information need to be synchronized precisely, only then it is possible to capture fast and transient evoked neural responses and relate them to individual sounds. We have developed Android applications (AFEx and Record-a) that allow for the concurrent acquisition of EEG data and audio features, i.e., sound onsets, average signal power (RMS), and power spectral density (PSD) on smartphone. In this paper, we evaluate these apps by computing event-related potentials (ERPs) evoked by everyday sounds. One participant listened to piano notes (played live by a pianist) and to a home-office soundscape. Timing tests showed a stable lag and a small jitter (< 3 ms) indicating a high temporal precision of the system. We calculated ERPs to sound onsets and observed the typical P1-N1-P2 complex of auditory processing. Furthermore, we show how to relate information on loudness (RMS) and spectra (PSD) to brain activity. In future studies, we can use this system to study sound processing in everyday life.

摘要

借助基于智能手机的移动脑电图(EEG)技术,我们能够在实验室之外研究声音感知。为了理解现实世界中的声音感知,我们需要将自然发生的声音与脑电图数据联系起来。为此,脑电图和音频信息需要精确同步,只有这样才有可能捕捉快速且短暂的诱发神经反应,并将它们与单个声音联系起来。我们开发了安卓应用程序(AFEx和Record-a),这些程序能够在智能手机上同时采集脑电图数据和音频特征,即声音起始点、平均信号功率(均方根,RMS)以及功率谱密度(PSD)。在本文中,我们通过计算日常声音诱发的事件相关电位(ERP)来评估这些应用程序。一名参与者聆听了钢琴音符(由钢琴家现场演奏)以及家庭办公室的声景。定时测试显示出稳定的延迟和较小的抖动(<3毫秒),表明该系统具有较高的时间精度。我们计算了声音起始点的事件相关电位,并观察到了听觉处理中典型的P1-N1-P2复合波。此外,我们展示了如何将响度(均方根,RMS)和频谱(PSD)信息与大脑活动联系起来。在未来的研究中,我们可以使用这个系统来研究日常生活中的声音处理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/7e1855cac6fb/fnrgo-03-793061-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/6d0a73afdf7c/fnrgo-03-793061-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/1960a6dd681b/fnrgo-03-793061-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/142b8eef9579/fnrgo-03-793061-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/7e1855cac6fb/fnrgo-03-793061-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/6d0a73afdf7c/fnrgo-03-793061-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/1960a6dd681b/fnrgo-03-793061-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/142b8eef9579/fnrgo-03-793061-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4915/10790832/7e1855cac6fb/fnrgo-03-793061-g0004.jpg

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Hum Factors. 2023 Feb;65(1):86-106. doi: 10.1177/00187208211007707. Epub 2021 Apr 16.
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