Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review
Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2504-2289/3/1/3 |
| _version_ | 1818668508867723264 |
|---|---|
| author | Vinh Phuc Tran Adel Ali Al-Jumaily Syed Mohammed Shamsul Islam |
| author_facet | Vinh Phuc Tran Adel Ali Al-Jumaily Syed Mohammed Shamsul Islam |
| author_sort | Vinh Phuc Tran |
| collection | DOAJ |
| description | Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring system using polysomnography (PSG). However, despite the quality and reliability of the PSG system, it is not well suited for long-term continuous usage due to limited mobility as well as causing possible irritation, distress, and discomfort to patients during the monitoring process. These limitations have led to stronger demands for non-contact sleep monitoring systems. The aim of this paper is to provide a comprehensive review of the current state of non-contact Doppler radar sleep monitoring technology and provide an outline of current challenges and make recommendations on future research directions to practically realize and commercialize the technology for everyday usage. |
| first_indexed | 2024-12-17T06:37:26Z |
| format | Article |
| id | doaj.art-4b6cb8f3e2524cf6877207893fc83f47 |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-12-17T06:37:26Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-4b6cb8f3e2524cf6877207893fc83f472022-12-21T21:59:57ZengMDPI AGBig Data and Cognitive Computing2504-22892019-01-0131310.3390/bdcc3010003bdcc3010003Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive ReviewVinh Phuc Tran0Adel Ali Al-Jumaily1Syed Mohammed Shamsul Islam2Centre for Health Technologies, Faculty of Engineering & Information Technology (FEIT), University of Technology, Sydney (UTS), Ultimo NSW 2007, AustraliaCentre for Health Technologies, Faculty of Engineering & Information Technology (FEIT), University of Technology, Sydney (UTS), Ultimo NSW 2007, AustraliaThe Discipline of Computing and Security, School of Science, Edith Cowan University (ECU), Joondalup WA 6027, AustraliaToday’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring system using polysomnography (PSG). However, despite the quality and reliability of the PSG system, it is not well suited for long-term continuous usage due to limited mobility as well as causing possible irritation, distress, and discomfort to patients during the monitoring process. These limitations have led to stronger demands for non-contact sleep monitoring systems. The aim of this paper is to provide a comprehensive review of the current state of non-contact Doppler radar sleep monitoring technology and provide an outline of current challenges and make recommendations on future research directions to practically realize and commercialize the technology for everyday usage.http://www.mdpi.com/2504-2289/3/1/3sleep monitoringpatient monitoringnon-contact monitoringvital signs monitoringhealth monitoringobstructive sleep apneasleepsensorsDoppler radarnon-contact vital signsrespirationcardiac activitypressureTidal volumesleep wake patternapnea-hypopnea indexCheyne-Stokes respirationcomputer visionmachine learningbody orientationsbody movements |
| spellingShingle | Vinh Phuc Tran Adel Ali Al-Jumaily Syed Mohammed Shamsul Islam Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review Big Data and Cognitive Computing sleep monitoring patient monitoring non-contact monitoring vital signs monitoring health monitoring obstructive sleep apnea sleep sensors Doppler radar non-contact vital signs respiration cardiac activity pressure Tidal volume sleep wake pattern apnea-hypopnea index Cheyne-Stokes respiration computer vision machine learning body orientations body movements |
| title | Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review |
| title_full | Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review |
| title_fullStr | Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review |
| title_full_unstemmed | Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review |
| title_short | Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review |
| title_sort | doppler radar based non contact health monitoring for obstructive sleep apnea diagnosis a comprehensive review |
| topic | sleep monitoring patient monitoring non-contact monitoring vital signs monitoring health monitoring obstructive sleep apnea sleep sensors Doppler radar non-contact vital signs respiration cardiac activity pressure Tidal volume sleep wake pattern apnea-hypopnea index Cheyne-Stokes respiration computer vision machine learning body orientations body movements |
| url | http://www.mdpi.com/2504-2289/3/1/3 |
| work_keys_str_mv | AT vinhphuctran dopplerradarbasednoncontacthealthmonitoringforobstructivesleepapneadiagnosisacomprehensivereview AT adelalialjumaily dopplerradarbasednoncontacthealthmonitoringforobstructivesleepapneadiagnosisacomprehensivereview AT syedmohammedshamsulislam dopplerradarbasednoncontacthealthmonitoringforobstructivesleepapneadiagnosisacomprehensivereview |