A Step towards Neuro-Steered Hearing Aids: Integrated Portable Setup for Time- Synchronized Acoustic Stimuli Presentation and EEG Recording

Dasenbrock, Steffen; Blum, Sarah; Debener, Stefan; Hohmann, Volker; Kayser, Hendrik

doi:10.1515/cdbme-2021-2218

Cited by 6 publications

(12 citation statements)

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“…Both audio and EEG data streams are captured on the PHL for further processing and recording. Figure adapted from Dasenbrock et al ( 2021 ).…”

Section: Methodsmentioning

confidence: 99%

“…To develop EEG-based hearing aid signal processing methods, a portable platform is required that offers the signal quality and timing accuracy required for closed-loop applications with audio and EEG signals. In Dasenbrock et al ( 2021 ), we introduced a research platform, which combines the mobile Smarting EEG system and the so-called Portable Hearing Laboratory (PHL, Pavlovic et al, 2018 ). The PHL is a portable research hearing device that can fully replicate a hearing device.…”

Section: Introductionmentioning

confidence: 99%

“…LSL is a framework that can synchronize data streams from different devices by measuring their respective clock drift over a network connection to map the locally generated time stamps into one common timeline. First pilot timing and physiological tests showed that this setup's portable components could be used to extract event-related potentials (ERPs) using an Oddball paradigm (Dasenbrock et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…Building upon the smartphone-based approach, the setup employed in this work focuses on hearing aid applications, leveraging the real-time capabilities of the PHL. The setup presented by our group in Dasenbrock et al ( 2021 ) was extended by the possibility of sending single software event markers, which enabled us to perform a comprehensive timing analysis to evaluate its suitability for research into closed-loop hearing devices with EEG.…”

Section: Introductionmentioning

confidence: 99%

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Synchronization of ear-EEG and audio streams in a portable research hearing device

et al. 2022

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Recent advancements in neuroscientific research and miniaturized ear-electroencephalography (EEG) technologies have led to the idea of employing brain signals as additional input to hearing aid algorithms. The information acquired through EEG could potentially be used to control the audio signal processing of the hearing aid or to monitor communication-related physiological factors. In previous work, we implemented a research platform to develop methods that utilize EEG in combination with a hearing device. The setup combines currently available mobile EEG hardware and the so-called Portable Hearing Laboratory (PHL), which can fully replicate a complete hearing aid. Audio and EEG data are synchronized using the Lab Streaming Layer (LSL) framework. In this study, we evaluated the setup in three scenarios focusing particularly on the alignment of audio and EEG data. In Scenario I, we measured the latency between software event markers and actual audio playback of the PHL. In Scenario II, we measured the latency between an analog input signal and the sampled data stream of the EEG system. In Scenario III, we measured the latency in the whole setup as it would be used in a real EEG experiment. The results of Scenario I showed a jitter (standard deviation of trial latencies) of below 0.1 ms. The jitter in Scenarios II and III was around 3 ms in both cases. The results suggest that the increased jitter compared to Scenario I can be attributed to the EEG system. Overall, the findings show that the measurement setup can time-accurately present acoustic stimuli while generating LSL data streams over multiple hours of playback. Further, the setup can capture the audio and EEG LSL streams with sufficient temporal accuracy to extract event-related potentials from EEG signals. We conclude that our setup is suitable for studying closed-loop EEG & audio applications for future hearing aids.

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“…Both audio and EEG data streams are captured on the PHL for further processing and recording. Figure adapted from Dasenbrock et al ( 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synchronization of ear-EEG and audio streams in a portable research hearing device

et al. 2022

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show abstract

“…It was found to have “performed on a comparable level as the commercial hearing aids for the assessed metrics and thus can be viewed as a fully functional hearing aid for research purposes” [ 28 ]. In a recent study [ 29 ], this portable platform was extended with a mobile EEG acquisition system aiming at utilizing brain signals for hearing aid processing. Another portable hearing aid research platform [ 30 ] has been shown to be capable of running openMHA, which was included in the software suite for its processing board [ 37 ].…”

Section: Motivation and Significancementioning

confidence: 99%