IoT-Based Sleep Apnea Monitoring for Timely Detection and Prevention

Sleep disorders are common in a significant part of the entire population with diseases of the central nervous system, continuous monitoring of respiration during sleep has an important role in early diagnosis and treatment. It introduces the most comfortable way to monitor sleep apnea disorder usin...

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Bibliographic Details
Published in2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) pp. 1363 - 1368
Main Authors Dhanasekar, R., Vijayaraja, L., Divya, A, Keerthana, P, Thalapathiraj, S., Venkatesh, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.10.2023
Subjects
Apnea
Artificial intelligence
Biomedical monitoring
Central nervous system
Monitoring
Prevention
Sleep apnea
Sleep disorder
Sociology
Statistics
Wearable Health Monitoring Systems
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Summary:Sleep disorders are common in a significant part of the entire population with diseases of the central nervous system, continuous monitoring of respiration during sleep has an important role in early diagnosis and treatment. It introduces the most comfortable way to monitor sleep apnea disorder using a wearable smartwatch and monitor it using the application based on IoT. A possibly lethal condition known as sleep apnea disorder causes frequent airflow stalls or stops when a person is asleep. PSG (Polysomnography) is a challenging procedure that requires the patient to undergo relatively intrusive test methods performed in a clinic, restricting the patient's movement and leading to a change in sleep pattern.
DOI:10.1109/ICSSAS57918.2023.10331831