ArticleFrontiers in neuroergonomics2022
Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets.
Article in Frontiers in neuroergonomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- Enhancing mobile brain and body imaging: Open-source solutions for real-world research applications.iScience · 2026Article
- Not just heard, but judged: a multidimensional perspective on auditory attention in everyday life.Frontiers in neuroergonomics · 2026Review
- Exploring Relevant Features for EEG-Based Investigation of Sound Perception in Naturalistic Soundscapes.eNeuro · 2025Article
- Using mobile EEG to study auditory work strain during simulated surgical procedures.Scientific reports · 2024Article
- A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings.Sensors (Basel, Switzerland) · 2023Article
- Investigating the attentional focus to workplace-related soundscapes in a complex audio-visual-motor task using EEG.Frontiers in neuroergonomics · 2022Article
- Synchronization of ear-EEG and audio streams in a portable research hearing device.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.