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Screening of sleep apnea based on heart rate variability and long short-term memory
- Source :
- Sleep & Breathing = Schlaf & Atmung
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Purpose:Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur frequently during sleep and result in increase of the risk of lifestyle-related disease development as well as daytime sleepiness. Although SAS is a common sleep disorder, most patients remain undiagnosed because the gold standard test polysomnography (PSG), is high-cost and unavailable in many hospitals. Thus, an SAS screening system that can be used easily at home is needed.<br />Methods:Apnea during sleep affects changes in the autonomic nervous function, which causes fluctuation of the heart rate. In this study, we propose a new SAS screening method that combines heart rate measurement and long short-term memory (LSTM) which is a type of recurrent neural network (RNN). We analyzed the data of intervals between adjacent R waves (R-R interval; RRI) on the electrocardiogram (ECG) records, and used an LSTM model whose inputs are the RRI data is trained to discriminate the respiratory condition during sleep.<br />Results:The application of the proposed method to clinical data showed that it distinguished between patients with moderate-to-severe SAS with a sensitivity of 100% and specificity of 100%, results which are superior to any other existing SAS screening methods.<br />Conclusion:Since the RRI data can be easily measured by means of wearable heart rate sensors, our method may prove to be useful as an SAS screening system at home.
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
0206 medical engineering
02 engineering and technology
Polysomnography
Autonomic Nervous System
Sensitivity and Specificity
Electrocardiography
Young Adult
03 medical and health sciences
Sleep Apnea Syndromes
0302 clinical medicine
Heart Rate
Internal medicine
Machine learning
Heart rate
medicine
Humans
Heart rate variability
Wearable sensor
Aged
Aged, 80 and over
Sleep disorder
medicine.diagnostic_test
business.industry
Sleep Breathing Physiology and Disorders • Original Article
Apnea
Sleep apnea
Middle Aged
medicine.disease
020601 biomedical engineering
Telemedicine
respiratory tract diseases
Sleep apnea syndrome
Otorhinolaryngology
Cardiology
Female
Neural Networks, Computer
Neurology (clinical)
Sleep (system call)
medicine.symptom
business
Hypopnea
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15221709 and 15209512
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Sleep and Breathing
- Accession number :
- edsair.doi.dedup.....c332ce5a4d25194c06c08588321e14a8