Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Use of accelerometers for automatic Regional chest movement recognition during tidal breathing in healthy subjects

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Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection

(2019) André Pinho et al.   APPLIED SOFT COMPUTING

A pulse oximeter system, OxiSense , with embedded signal processing using an ultra-low power ASIC designed for testability

(2018) Devarshi Mrinal Das et al.   MICROELECTRONICS JOURNAL

A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal

(2018) Kunyang Li et al.   NEUROCOMPUTING

Use of bi-level pulsed frequency-division excitation for improving blood oxygen saturation precision

(2018) Shaoxiu Song et al.   MEASUREMENT

Prevalence of obstructive sleep apnea in the general population: A systematic review

(2017) Chamara V. Senaratna et al.   SLEEP MEDICINE REVIEWS

Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating

(2016) Ahnaf Rashik Hassan et al.   Biocybernetics and Biomedical Engineering

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

(2015) Carolina Varon et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Classifying obstructive sleep apnea using smartphones

(2014) Mamoun Al-Mardini et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Envelope Analysis of the Airflow Signal To Improve Polysomnographic Assessment of Sleep Disordered Breathing

(2014) Javier A. Díaz et al.   SLEEP

Prevalence and risk factors of obstructive sleep apnea among middle-aged urban Indians: A community-based study

(2009) Emmadi V. Reddy et al.   SLEEP MEDICINE