NeuralCipher Research overview
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This paper explores the progressive era of sleep monitoring, focusing on wearable and remote devices, moving towards the concept of home polysomnography. We begin by examining the basic physiology of sleep, establishing a theoretical foundation for understanding sleep stages and associated changes in physiological variables. The review then moves on to analyse specific cutting-edge devices and technologies, emphasizing their practical applications, user comfort, and accuracy. Attention is also given to the ability of these devices to predict neurological disorders, particularly Alzheimer’s and Parkinson’s disease. The paper highlights the integration of hardware innovations, targeted sleep parameters, and partially advanced algorithms, illustrating how these elements converge to provide reliable information on sleep health status. By bridging the gap between clinical diagnosis and real-world applicability, this review aims to clarify the role of modern sleep monitoring tools in improving personalized healthcare and proactive disease management.
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