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Sleep Apnea Identification Through Vertical Respiratory Movement Using Region of Interest and Recurrent Neural Networks | IEEE Conference Publication | IEEE Xplore

Sleep Apnea Identification Through Vertical Respiratory Movement Using Region of Interest and Recurrent Neural Networks


Abstract:

Sleep Apnea is a sleep state of a person who has breathing problems where the patient often stops breathing during sleep. Sleep Apnea can be identified using Polysomnogra...Show More

Abstract:

Sleep Apnea is a sleep state of a person who has breathing problems where the patient often stops breathing during sleep. Sleep Apnea can be identified using Polysomnography. Nevertheless, the equipment that touches the patient produces so more difficulty sleeping. Monitoring Sleep Apnea through respiratory movement video is beneficial even though video processing during sleeping will take the problem in memory. It involves all frames and the relation between frames. The central is vertical respiration movement, so processing uses Region of Interest (ROI) to focus on that area. Segmentation of the head and chest area focuses on the vertical respiratory movement in each video frame on the Sleep Apnea monitor. This paper proposed a method of identifying Sleep Apnea using ROI and Recurrent Neural Networks (RNN). The experiment comparing chest area processing alone was more accurate than head and chest area using the Gated Recurrent Unit (GRU) architecture, 94.44%. The head area gave an accuracy of 83.33%. Both areas made it better using the LSTM architecture with an accuracy of 73.10% than the GRU with an accuracy of 68.10%, considering the LSTM processes mixed data. GRU provided better accuracy when used for a single region.
Date of Conference: 20-21 July 2022
Date Added to IEEE Xplore: 19 August 2022
ISBN Information:
Conference Location: Surabaya, Indonesia

Funding Agency:


I. Introduction

Sleep Apnea is a sleep disorder that causes breathing or respiration to stop temporarily during sleep for ten seconds or more. The condition is usually characterized by snoring during sleep. Based on the factors, there are several types of Sleep Apnea, including Obstructive Sleep Apnea (OSA) and Central Sleep Apnea (CSA). Obstructive Sleep Apnea occurs due to the airways narrowing and closing when breathing due to the back of the neck muscles being too relaxed and the chest movement almost stopping. Another case with Central Sleep Apnea where this condition occurs due to the forces that regulate breathing do not get a signal from the brain, causing the movement of the chest to stop completely.

References

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