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Peer-reviewedCC BYSensors (Basel, Switzerland)

Closed-Loop Acoustic Stimulation of Slow Oscillations Using a Wireless EEG Headband: A Polysomnography-Validated Feasibility Study.

  1. 1Brain and Cognition, Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WS Amsterdam, The Netherlands.
  2. 2Deep Sleep Technologies, Herengracht 584, 1017CJ Amsterdam, The Netherlands.
  3. 3Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WS Amsterdam, The Netherlands.

Abstract

Acoustic stimulation precisely timed during sleep can enhance slow oscillations (SOs), a hallmark of deep sleep that is critical for restorative sleep. To date, this approach has largely been restricted to laboratory settings using high-density electroencephalography (EEG). Wearable EEG systems featuring closed-loop acoustic stimulation could enable scalable, home-based approaches to modulating slow-wave sleep. Here, we tested whether a real-time modeling approach (M-CLNS) could be implemented using a wireless EEG headband with forehead electrodes in healthy participants. Acoustic stimulation was delivered during a single night of sleep in alternating stimulation and sham conditions. We evaluated the accuracy of SO phase targeting utilizing the EEG headband and assessed whether it could be used to detect stimulation-induced changes in oscillatory dynamics. The findings were validated against simultaneous polysomnographic (PSG) recordings as an independent reference. We found that SO phase was targeted consistently near the intended phase using the headband, despite reduced amplitude and signal quality compared with simultaneous PSG. Acoustic stimulation produced an immediate enhancement of SO dynamics, as well as sustained increases in SO density and power spectral density within the SO and delta frequency range (0.75-5 Hz) during deep sleep. These effects were apparent both in the EEG headband and PSG signals. These results demonstrate the feasibility of closed-loop acoustic stimulation using a wireless EEG headband, providing a foundation for future home-based and clinical applications.

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BibTeX
@article{jongejan2026closedloop,
  title = {{Closed-Loop Acoustic Stimulation of Slow Oscillations Using a Wireless EEG Headband: A Polysomnography-Validated Feasibility Study.}},
  author = {Stefan L Jongejan and Anna C van der Heijden and Lucia M Talamini},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  doi = {10.3390/s26206528},
  url = {https://europepmc.org/article/MED/42944391},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Closed-Loop Acoustic Stimulation of Slow Oscillations Using a Wireless EEG Headband: A Polysomnography-Validated Feasibility Study.
AU  - Stefan L Jongejan
AU  - Anna C van der Heijden
AU  - Lucia M Talamini
PY  - 2026
DA  - 2026/10/15
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26206528
UR  - https://europepmc.org/article/MED/42944391
AB  - Acoustic stimulation precisely timed during sleep can enhance slow oscillations (SOs), a hallmark of deep sleep that is critical for restorative sleep. To date, this approach has largely been restricted to laboratory settings using high-density electroencephalography (EEG). Wearable EEG systems featuring closed-loop acoustic stimulation could enable scalable, home-based approaches to modulating slow-wave sleep. Here, we tested whether a real-time modeling approach (M-CLNS) could be implemented using a wireless EEG headband with forehead electrodes in healthy participants. Acoustic stimulation was delivered during a single night of sleep in alternating stimulation and sham conditions. We evaluated the accuracy of SO phase targeting utilizing the EEG headband and assessed whether it could be used to detect stimulation-induced changes in oscillatory dynamics. The findings were validated against simultaneous polysomnographic (PSG) recordings as an independent reference. We found that SO phase was targeted consistently near the intended phase using the headband, despite reduced amplitude and signal quality compared with simultaneous PSG. Acoustic stimulation produced an immediate enhancement of SO dynamics, as well as sustained increases in SO density and power spectral density within the SO and delta frequency range (0.75-5 Hz) during deep sleep. These effects were apparent both in the EEG headband and PSG signals. These results demonstrate the feasibility of closed-loop acoustic stimulation using a wireless EEG headband, providing a foundation for future home-based and clinical applications.
SN  - 1424-8220
ER  -