Obstructive sleep apnea (OSA) is one of the underdiagnosed sleep disorders in which the respiratory airpaths are disturbed and weakens the respiration process. Apnea refers to the termination of flow of air to the lungs which persists at least for 10 seconds. It is a serious factor for several conditions like hypoxia, hypertension, cardiovascular diseases including stroke. Presently, Polysomnography (PSG) taken over full night duration is implemented as standard method for OSA assessment. Over hundred million people around the world suffer from sleep apnea. This includes, 3- 7% men and 2-5% women. Yet there is a lack of patient friendly medical devices for long term monitoring of OSA. This is because the current systems are rather bulky, expensive, intrusive and unavailable in a comfortable environment for patients. The proposed system aims at developing a wearable, convenient, inexpensive and compact device for long term monitoring of OSA. Our approach is based on monitoring the patient using a double channel system of respiration rate and saturation pressure of oxygen. The data regarding the occurrence of events is collected and generated as an overnight report which can be sent to the patient/caregiver/doctor. In emergency cases an alarm will be triggered and the patient will be woken up from sleep.
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5 April 2022
12TH NATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN BIOMEDICAL ENGINEERING
3 December 2020
Chennai, India
Research Article|
April 05 2022
Early diagnosis and monitoring of sleep apnea using desaturation index and respiration percentage Available to Purchase
P. Sinthia;
P. Sinthia
a)
1
Department of Biomedical Engineering, Saveetha Engineering College
, Chennai, 602105, India
a)Corresponding author: [email protected]
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M. Malathi;
M. Malathi
b)
2
Department of Biomedical Engineering, Rajalakshmi Institute of Technology
, Chennai, 600 124, India
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B. Sathya Sri;
B. Sathya Sri
c)
3
Department of Electronics and Communication Engineering, Vel Tech Rangarajan DrSagunthala R&D Institute of Science and Technology
, Chennai, 600 062, India
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K. Sankar;
K. Sankar
d)
1
Department of Biomedical Engineering, Saveetha Engineering College
, Chennai, 602105, India
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M. Nalini
M. Nalini
4
Department of Computer Science Engineering, Saveetha School of Engineering
, Chennai, 602105, India
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P. Sinthia
1,a)
M. Malathi
2,b)
B. Sathya Sri
3,c)
K. Sankar
1,d)
M. Nalini
4
1
Department of Biomedical Engineering, Saveetha Engineering College
, Chennai, 602105, India
2
Department of Biomedical Engineering, Rajalakshmi Institute of Technology
, Chennai, 600 124, India
3
Department of Electronics and Communication Engineering, Vel Tech Rangarajan DrSagunthala R&D Institute of Science and Technology
, Chennai, 600 062, India
4
Department of Computer Science Engineering, Saveetha School of Engineering
, Chennai, 602105, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2405, 020015 (2022)
Citation
P. Sinthia, M. Malathi, B. Sathya Sri, K. Sankar, M. Nalini; Early diagnosis and monitoring of sleep apnea using desaturation index and respiration percentage. AIP Conf. Proc. 5 April 2022; 2405 (1): 020015. https://doi.org/10.1063/5.0072690
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