Fusion-Infused Hypnocare: Unveiling Real-Time Instantaneous Heart Rates for Remote Diagnosis of Sleep Apnea

Prolonged sleep apnea poses significant health risks, including arrhythmia and hypertension, leading to cardiovascular diseases and potentially fatal strokes. Wearable health trackers offer a promising solution for continuous cardiac monitoring, improving the detection of adverse events. However, current clinical diagnostic methods for sleep apnea are costly, time-consuming, and inaccessible remotely. Leveraging wearable watches with health tracking capabilities enables real-time remote diagnosis of sleep apnea, tapping into the recent surge in remote healthcare and AI technologies.This study explores the efficacy of various AI models, trained on sequential data of Instantaneous Heart Rates (IHR), for realtime sleep apnea detection. Bi-directional Long Short-Term Memory (LSTM) emerges as the optimal AI technique, exhibiting superior specificity, sensitivity, and accuracy. Introducing Fusion-Infused HypnoCare, a novel approach to sleep apnea detection, seamlessly integrates real-time remote diagnostics with IHR monitoring. This fusion technology enhances diagnostic precision and efficiency, enabling telemedicine and mHealth apps to access and analyze wellness tracker data in real-time.The Fusion-Infused HypnoCare strategy revolutionizes sleep apnea diagnosis, facilitating proactive therapies and improving patient outcomes by mitigating untreated sleep apnea risks. This transformative progress underscores the potential of wearable health trackers, real-time monitoring, and AI analysis in advancing healthcare delivery.