Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India
This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean a...
Source: Monaldi Archives for Chest Disease - May 13, 2024 Category: Respiratory Medicine Authors: Ganesh Narwade Manu Madan Rohit Kumar Pranav Ish A J Mahendran Rajnish Kaushik Nitesh Gupta Source Type: research
Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review
CONCLUSIONS: Due to the significant advantages of noninvasive, low-cost, and contactless data collection, an automatic approach based on speech or snoring sounds seems to be a promising tool for the detection of OSA.PMID:38738242 | PMC:PMC11087644 | DOI:10.21037/jtd-24-310 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Shuang Cao Ivana Rosenzweig Federico Bilotta Hong Jiang Ming Xia Source Type: research
