Redefining obstructive sleep apnea diagnosis: An attention augmented CNN-BiLSTM hybrid alternative to traditional PSG testing

Key Points

• The hybrid cnn-bilstm model improves diagnosis accuracy for obstructive sleep apnea.
• Testing showed an accuracy increase of up to 20% compared to traditional PSG tests.
• Observation conducted using a novel hybrid model on sleep data collected from participants.
• Findings highlight the potential benefits of using advanced algorithms for sleep apnea diagnosis.