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Deep Learning for OSA Detection via PPG by Devika Menon M K Engineering EEE is a document available to read on EtoBox.

This document presents a novel deep learning framework for diagnosing Obstructive Sleep Apnea (OSA) using Photoplethysmogram (PPG) signals recorded from the fingertip. The study compares the performance of three deep learning approaches—Bi-directional Long Short-Term Memory (Bi-LSTM), Temporal Convolutional Network (TCN), and TCN-LSTM—demonstrating that TCN-LSTM achieves the highest accuracy of 93.39% in real-time OSA screening. The proposed system offers a simpler and more efficient alternative to traditio

Author

Devika Menon M K Engineering EEE

Language

EN