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NCT Number: NCT07503223

Sleep Optimization With Acoustic Therapy

Insomnia is a highly prevalent sleep disorder characterized by persistent difficulty initiating or maintaining sleep, often accompanied by impaired daytime functioning. Chronic insomnia affects approximately 10-15% of the adult population and is associated with significant physical, psychological, and socioeconomic burden. Traditional management strategies, including cognitive behavioral therapy for insomnia (CBT-I) and pharmacotherapy, have shown varying levels of effectiveness, with some patients remaining refractory to standard interventions or experiencing unwanted side effects.

Recent advances in sleep neuroscience have revealed that disturbances in endogenous brain rhythms, particularly reductions in slow-wave activity (SWA) and altered sleep spindle patterns, play a key role in the pathophysiology of insomnia. These findings have sparked interest in non-pharmacological neuromodulation approaches to restore healthy sleep architecture.

One such approach is personalized nocturnal sound frequency therapy, in which low-frequency auditory stimuli (e.g., pink noise or slow oscillation-matched tones) are delivered during sleep to entrain and enhance specific sleep-related brain oscillations. Studies in healthy individuals and patients with insomnia have demonstrated that such stimulation can augment slow-wave sleep (N3), reduce nocturnal arousals, and improve perceived sleep quality. Personalized algorithms that adapt sound delivery based on real-time EEG signals further enhance these devices' efficacy and user experience.

Despite growing evidence supporting the utility of sound-based sleep modulation, there is limited data on its application in diverse insomnia subtypes and its effect as measured by gold-standard sleep studies such as polysomnography (PSG). This study uses a pre-post PSG design to evaluate the impact of personalized sound frequency therapy on objective sleep architecture and subjective sleep outcomes in patients with insomnia. The findings may provide new insights into the therapeutic potential of acoustic brainwave modulation and support its integration into personalized insomnia care.

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Key information

Age range

18 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

National University of Malaysia, Faculty of Medicine

Cheras, Kuala Lumpur, 56000, Malaysia

Location status: Recruiting

Location contact

Mohamed Faisal Abdul Hamid

CONTACT

[email protected]

0391455555

About this study

Primary Objective:

To evaluate the effect of daily personalized sound frequency therapy on sleep architecture (N1/N2/N3 %, REM %, total sleep time, sleep latency, sleep efficiency) measured by polysomnography after 12 weeks of intervention.

Secondary Objectives:

  • To evaluate the effect of daily personalized sound frequency therapy after 12 weeks of intervention
  • Sleep quality; using Pittsburgh Sleep Quality Index(PSQI) questionnaire ,
  • Insomnia; using Insomnia severity index(ISI) questionaire,
  • apnea-hypopnea index (AHI) assessed by polysomnography
  • daytime sleepiness; using the Epworth Sleepiness Score (ESS) intervention.
  • To assess user adherence, tolerability, and acceptability of the sound therapy.

Hypothesis There is an improvement in terms of sleep architecture, sleep quality (PSQI), insomnia severity (ISI), apnea-hypopnea index (AHI), and daytime sleepiness (ESS) with sound frequency therapy after 12 weeks of intervention.

Study Design:

A prospective, single-arm, longitudinal pre-post interventional study. Intervention duration: 12 weeks.

Baseline and follow-up PSG (full-night polysomnography).

Study Population:

Insomnia patients/hospital staff in Hospital Canselor Tuanku Muhriz UKM

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults aged 18-60 years
  • With sleep disturbances based on the PSQI score of >5 and/or ISI score > 15

Exclusion criteria

  • Central sleep apnea
  • Epilepsy
  • Current use of sedative-hypnotics or neurostimulation devices
  • Shift workers (people with different working hours patterns, for example morning, afternoon, night shifts)
  • Pregnancy
  • Moderate to severe OSA (AHI >15)
  • Presbycusis or other significant hearing loss
  • Patients with psychiatric disorder

Treatment and study plan

Personalized Sound Therapy

Device

Participants will receive a wearable sound stimulation device for 12 weeks, programmed with personalized low-frequency auditory stimuli (e.g., pink noise or slow-wave-matched sounds). The patient will self-administer the therapy at home, for one hour in the morning (upon waking) and one hour in the evening (around 5 p.m. until just before sleep). The recommended device volume is above 30%, with a frequency range between 15 and 20,000 Hz

Primary outcomes

  1. Comparison in Sleep Architexture pre and post treatment

    Time frame: 12 weeks

    Sleep architecture refers to the structure and pattern of sleep stages recorded during overnight polysomnography. It includes Non-Rapid Eye Movement (NREM) stages (N1, N2, N3) and Rapid Eye Movement (REM) sleep. Key parameters include percentages of time spent in each stage, total sleep time (TST), sleep latency, sleep efficiency, and arousal index. It is measured at percentage of total sleep.

Secondary outcomes

  1. Comparison of Imsonia Severity Index pre and post treatment

    Time frame: 12 weeks

    The Insomnia Severity Index is a validated self-reported questionnaire that assesses insomnia's nature, severity, and impact over the previous month. It consists of 7 items, each scored 0-4, with total scores ranging from 0-28. Higher scores indicate greater insomnia severity. An ISI score of > 15 indicates moderate insomnia. It is measured in numbers (minimum 0- maximum 28)

  2. Comparison of Pittsburgh Sleep Quality Index (PSQI) pre and post treatment

    Time frame: 12 weeks

    The PSQI is a 19-item self-report questionnaire that assesses subjective sleep quality and disturbances over the past month. It yields 7 component scores, which are summed to give a global score (0-21). A score >5 indicates poor sleep quality. It is measured in numbers (minimum 0- maximum 21)

  3. Comparison of Epworth Sleepiness Scale (ESS) pre and post treatment

    Time frame: 12 weeks

    Epworth Sleepiness Scale (ESS) The ESS questionnaire is used to assess a patient's excessive daytime sleepiness (EDS) subjectively by rating their likelihood of dozing off during eight activities. A score of > 10 indicates excessive daytime sleepiness.

    • <10: normal
    • 11-12: mild excessive daytime sleepiness
    • 13-15: moderate excessive daytime sleepiness
    • 16-24: severe excessive daytime sleepiness It is measured in numbers (minimum 0- maximum 24)
  4. adverse events of the therapy

    Time frame: 12 weeks

    Adverse events will be recorded e.g headache

  5. adherence of the treatment received

    Time frame: 12 weeks

    Defined as at least 80% compliance and participate in weekly remote check-ins for monitoring and support.

Study contacts

Contact information is provided by the study sponsor or research team.

Mohamed Faisal Abdul Hamid, MBBS (IIUM)

CONTACT

[email protected]

0391455555

Sponsors and collaborators

Lead sponsor

National University of Malaysia

Other

Registry information

Official study title

Sleep Optimization With Acoustic Therapy: A Polysomnography-Based Pre-Post Study

Acronym: SONATA

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Mar 31, 2026
Registry last updated
Apr 7, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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