Investigators at School of Information Science and Technology Report Findings in Sleep Apnea (Apsense: Data-driven Algorithm In Ppg-based Sleep Apnea Sensing).

Researchers at the School of Information Science and Technology in Rayong, Thailand, have developed a data-driven algorithm called ApSense for detecting obstructive sleep apnea (OSA) using fingertip photoplethysmography (PPG) signals and deep learning techniques. The algorithm, ApSense, outperformed other state-of-the-art algorithms in sensitivity, specificity, and area under the receiver operating characteristic (AUROC) on test data sets, showing promise for OSA detection and clinical applications in prescreening individuals for sleep apnea. This research has been peer-reviewed and offers potential for low-cost OSA detection and prescreening in the future. [Extracted from the article]