Advancing AI-Sleep Systems to Restore Neurological Sleep Disorders and Precision Health in New Zealand

Abstract

Sleep is necessary for systemic health, brain function and wellbeing. Circadian Sleep Disorders such as Insomnia, Obstructive Sleep Apnea, Narcolepsy and Restless Legs Syndrome are correlated to increasing risks of serious neurological disorders such as Alzheimer’s disease, Parkinson’s disease, Dementia, and Epilepsy. Sleep problems in New Zealand are a significant public health challenge with almost 25% of the population facing some known sleep disorder. Therapeutic surfaces such as adaptive mattresses and adjustable beds were shown in an earlier publication by the author to rehabilitate circadian dysfunctions via better postural support, pressure relief, thermal control and disturbance minimization. Now by integrating AI-sleep systems along with therapeutic surfaces he recommends significant promise for symptom alleviation of neurological sleep disorders by creating intelligent sleep atmospheres gauging movement, respiration, heart rate variability, and temperature regulation. Condition-specific designs of AI allow modulation of sleep environments to a large extent to facilitate better sleep health. AI-sleep systems can thus serve in parallel to rehabilitating individuals along with conventional sleep medicine remedies incident within the health structure in New Zealand. IoT connect and machine learning allows for pattern recognition of sleep profiles, disruption prediction and personalized optimization turning passive sleep-surfaces into highly customized, adaptive, responsive systems. This review studies how AI-smart beds can be used to target the multifactorial nature of neurological dysfunctions and could be transformative by substantially reducing morbidity arising from neurological disorders that may be triggered by sleep dysfunctions. Systems integrating AI into sleep disorders management also demonstrate congruence with the Governments priorities for equitable access to health technologies. The integration of AI-sleep technology into preventive sleep medicine can enhance the development of precision health in future, hence advancing healthy populations.