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Trials / Recruiting

RecruitingNCT07503223

Sleep Optimization With Acoustic Therapy

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

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
40 (estimated)
Sponsor
National University of Malaysia · Academic / Other
Sex
All
Age
18 Years – 60 Years
Healthy volunteers
Accepted

Summary

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.

Detailed description

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

Conditions

Interventions

TypeNameDescription
DEVICEPersonalized Sound TherapyParticipants 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

Timeline

Start date
2026-04-01
Primary completion
2028-01-01
Completion
2028-01-01
First posted
2026-03-31
Last updated
2026-04-07

Locations

1 site across 1 country: Malaysia

Source: ClinicalTrials.gov record NCT07503223. Inclusion in this directory is not an endorsement.