Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.

Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.

Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.