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Thermal Vision for Sleep Apnea Monitoring [chapter]

Jin Fei, Ioannis Pavlidis, Jayasimha Murthy
2009 Lecture Notes in Computer Science  
The present paper proposes a novel methodology to monitor sleep apnea through thermal imaging.  ...  The sleep-disordered incidents were detected by both thermal and standard polysomnographic methodologies.  ...  The sleep apnea events were automatically detected from the onset of higher energy at lower frequency wavelets.  ... 
doi:10.1007/978-3-642-04271-3_131 fatcat:b7z7px22k5duxfqmkc7wunmksq

Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment

Fernando Espinoza-Cuadros, Rubén Fernández-Pozo, Doroteo T. Toledano, José D. Alcázar-Ramírez, Eduardo López-Gonzalo, Luis A. Hernández-Gómez
2015 Computational and Mathematical Methods in Medicine  
A set of local craniofacial features related to OSA are extracted from images after detecting facial landmarks using Active Appearance Models (AAMs).  ...  Obstructive sleep apnea (OSA) is a common sleep disorder characterized by recurring breathing pauses during sleep caused by a blockage of the upper airway (UA).  ...  Authors also thank Sonia Martínez Díaz for her effort in collecting the OSA database that is used in this study.  ... 
doi:10.1155/2015/489761 pmid:26664493 pmcid:PMC4664800 fatcat:mqpofb7l4bexraairdpkxkazmi

Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region-Growing Segmentation

Ahsan Javed, Yoon-Chul Kim, Michael C. K. Khoo, Sally L. Davidson Ward, Krishna S. Nayak
2016 IEEE Transactions on Biomedical Engineering  
It was also able to automatically detect 83% of collapse events.  ...  Significance-Obstructive sleep apnea is a significant public health issue affecting 4-9% of adults and 2% of children.  ...  Roberta Kato, Biswas Joshi, Shirleen Loloyan, and Tom Keens for their help with patient recruitment, consent, identifying events and feedback on image quality.  ... 
doi:10.1109/tbme.2015.2462750 pmid:26258929 pmcid:PMC4801340 fatcat:5izw6kwgnvbxdb2rolwne7kpka

Noncontact Vital Sign Monitoring System with Dual Infrared Imaging for Discriminating Respiration Mode

Koji Nakagawa, Yoshiyuki Sankai
2021 Advanced Biomedical Engineering  
One of the best methods to detect early signs of obstructive sleep apnea syndrome (OSAS) is daily monitoring of the respiration rate and mode of respiration during sleep.  ...  nostril and mouth to derive the respiration rate and mode for detecting apnea.  ...  Con ict of Interest The authors declare no con icts of interest with any companies or commercial organizations per the de nition of Japanese Society for Medical and Biological En-gineering.  ... 
doi:10.14326/abe.10.80 fatcat:z3o6j3aykbgvtbfu2pfwafffxu

Thermal Infrared Imaging: A Novel Method to Monitor Airflow During Polysomnography

Jayasimha N. Murthy, Johan van Jaarsveld, Jin Fei, Ioannis Pavlidis, Rajesh I Harrykissoon, Joseph F. Lucke, Saadia Faiz, Richard J. Castriotta
2009 Sleep  
Patients or Participants: Fourteen volunteers without a history of sleep disordered breathing and 13 patients with a history of obstructive sleep apnea were recruited. measurements and results: In the  ...  detection of apnea and hypopnea, excellent agreement was noted between TIRI and thermistor (κ = 0.92, Bayesian Credible Interval [BCI] 0.86, 0.96; pκ = 0.99).  ...  The longitudinal approach adopted in this study, instead, uses a large number (119-181) of epochs from relatively few patients (14 controls and 13 patients with obstructive sleep apnea [OSA]).  ... 
doi:10.1093/sleep/32.11.1521 pmid:19928392 pmcid:PMC2768959 fatcat:gjqgb7mkl5dend3nl3k6s5hngi

The Face of Sleepiness: Improvement in Appearance after Treatment of Sleep Apnea

Ronald D. Chervin, Deborah L. Ruzicka, Arshia Vahabzadeh, Margaret C. Burns, Joseph W. Burns, Steven R. Buchman
2013 Journal of Clinical Sleep Medicine (JCSM)  
The authors also thank the subjects who participated, the volunteers who rated facial images for this research, and Kenneth E. Guire, M.S., who provided advice on statistical analyses.  ...  Chervin serves on the board of directors for the AASM, ABSM, ASMF, and International Pediatric Sleep Association. He is on the advisory board of the non-profit Sweet Dreamzzz.  ...  Conclusions: Patients with obstructive sleep apnea are perceived to appear more alert, more youthful, and more attractive after adherent use of positive airway pressure.  ... 
doi:10.5664/jcsm.2976 pmid:23997695 pmcid:PMC3746710 fatcat:xshzaystond6xhnjtuint4oibu

ANALYSIS ON PARAMETERS AFFECTING SLEEP APNEA & CONTROL MEASURES USING LOW COST POSITIVE AIR PRESSURE SUPPLY MACHINE

Sandeep Reddy Av .
2012 International Journal of Research in Engineering and Technology  
(Automatic Bi-level Positive Airway Pressure machine) for the purpose of detection and controlling of sleep apnea disease using Atmel 89c51 Microcontroller programming.  ...  Here, a new methodology is followed to detect the sleep apnea condition in a patient by using active Infrared source and Infrared detector.  ...  In case of current research (Detection and Control of Sleep Apnea through Automatic BiPAP device), An explicit new methodology is followed in order to detect the sleep apnea condition in a patient  ... 
doi:10.15623/ijret.2012.0101009 fatcat:ld2j3ibp3fbvlkqe5upj4tobpa

Dysfunction in Automatic Processing of Emotional Facial Expressions in Patients with Obstructive Sleep Apnea Syndrome: An Event-Related Potential Study

Renjun Lv, Shanjing Nie, Zhenhua Liu, Yunliang Guo, Yue Zhang, Song Xu, Xunyao Hou, Jian Chen, Yingjuan Ma, Zhongyu Fan, Xueping Liu
2020 Nature and Science of Sleep  
Obstructive sleep apnea syndrome (OSAS) is a prevalent chronic disease characterized by sleep fragmentation and intermittent hypoxemia.  ...  In this study, we compared automatic processing of emotional facial expressions schematic in OSAS patients and matched healthy controls via assessing expression-related mismatch negativity (EMMN).  ...  Disclosure The authors report no potential conflicts of interest for this work. submit your manuscript | www.dovepress.com DovePress Nature and Science of Sleep 2020:12  ... 
doi:10.2147/nss.s267775 pmid:32982522 pmcid:PMC7501974 fatcat:uiq3idz4tra7dfgs7ku64idhpe

Three-Dimensional Image Segmentation of Upper Airway by Cone Beam CT: A Review of Literature

Sara El Khateeb
2020 Egyptian dental journal  
Three-dimensional (3D) models of the upper airway that have been segmented and designed from CBCT images can be used to visualize and analyze treatment efficiency in subjects with breathing or obstruction  ...  Literature reviews in the dental field have been included, relating to the use of CBCT to assess the upper airway using image segmentation.  ...  a patient with obstructive sleep apnea  ... 
doi:10.21608/edj.2020.25972.1074 fatcat:q4pgpubkibazpla7w5mchdexya

Fast upper airway magnetic resonance imaging for assessment of speech production and sleep apnea

Yoon-Chul Kim
2018 Precision and Future Medicine  
of upper airway abnormalities related to obstructive sleep apnea and swallowing disorders.  ...  production and sleep apnea.  ...  Fiberoptic endoscopy is used to visualize the airway lumen during drug-induced sleep in patients with obstructive sleep apnea (OSA) [3] .  ... 
doi:10.23838/pfm.2018.00100 fatcat:u2kzxxepbnfhbjl7jbmbg2c4n4

Influence of tongue/mandible volume ratio on oropharyngeal airway in Japanese male patients with obstructive sleep apnea

Yuko Shigeta, Takumi Ogawa, Eriko Ando, Glenn T. Clark, Reyes Enciso
2011 Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology  
Introduction The primary risk factors for Obstructive Sleep Apnea (OSA) are either obesity or having an abnormal upper-airway anatomy.  ...  Millions of patients a year receive a CT scan for dental implants, trauma, tumors, cancer and we would like to use that opportunity to screen for sleep apnea.  ... 
doi:10.1016/j.tripleo.2010.10.013 pmid:21237441 pmcid:PMC3026324 fatcat:voiejyiiebh4jfnezmqkmcujeu

German S3 Guideline Nonrestorative Sleep/Sleep Disorders, chapter "Sleep-Related Breathing Disorders in Adults," short version

Geert Mayer, Michael Arzt, Bert Braumann, Joachim H. Ficker, Ingo Fietze, Helmut Frohnhofen, Wolfgang Galetke, Joachim T. Maurer, Maritta Orth, Thomas Penzel, Hans Pistner, Winfried Randerath (+3 others)
2017 Somnologie  
(OSAS obstructive sleep apnea syndrome, APAP automatic CPAP) Algorithm for management of patients with suspected central sleep apnea.  ...  (CNS central nervous system, OSA obstructive sleep apnea, CSA central sleep apnea) Algorithm for treatment of patients with obstructive sleep apnea.  ...  Diagnosis and treatment of sleep-related hypoventilation/ sleep-related hypoxemia Diagnostic recommendations 4 In the presence of clinical indications of sleep-related hypoventilation or predisposing  ... 
doi:10.1007/s11818-017-0136-2 pmid:29213210 pmcid:PMC5705734 fatcat:hto2iqsuzrbkxoiys2nlyh3fsm

Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study

Satoru Tsuiki, Takuya Nagaoka, Tatsuya Fukuda, Yuki Sakamoto, Fernanda R Almeida, Hideaki Nakayama, Yuichi Inoue, Hiroki Enno
2021 Sleep and Breathing  
Three kinds of data sets were prepared by changing the area of interest using a single image: the original image without any modification (full image), an image containing a facial profile, upper airway  ...  We tested the hypothesis that machine learning, an application of artificial intelligence (AI), could be used to detect patients with severe OSA based on 2-dimensional images.  ...  Yuji Takise, Yoyogi Sleep Disorder Center, Japan, for data collection. Authors' contribution S.Tsuiki takes responsibility for the content of the manuscript, including the data and analysis.  ... 
doi:10.1007/s11325-021-02301-7 pmid:33559004 pmcid:PMC8590647 fatcat:d2km5bxm2bbxxb2ghgpdznpnsi

Non-Contact Respiration Monitoring and Body Movements Detection for Sleep Using Thermal Imaging

Prasara Jakkaew, Takao Onoye
2020 Sensors  
The automatic region of interest (ROI) extraction by temperature detection and breathing motion detection is based on image processing integrated to obtain the respiration signals.  ...  The limitation of these techniques is the failure of face detection while sleeping with a fixed camera position.  ...  The breathing patterns during sleeping are utilized to identify the sleep disorder as sleep apnea, including obstructive sleep apnea (OSA), central sleep apnea, and complex sleep apnea syndrome.  ... 
doi:10.3390/s20216307 pmid:33167556 fatcat:ju2p5iiborglvfbt5qkumrp64e

Automated Non-contact Detection of Head and Body Positions during Sleep

Sina Akbarian, Ghazaleh Delfi, Kaiyin Zhu, Azadeh Yadollahi, Babak Taati
2019 IEEE Access  
In this paper, three machine learning approaches were used to detect the head position during sleep in infrared images.  ...  Obstructive sleep apnea (OSA) is a respiratory disorder characterized by interruption to breathing during sleep. Usually, the OSA is more severe in the supine sleeping position.  ...  Obstructive sleep apnea (OSA) is the most common type of sleep apnea which is caused by the total (apnea) or partial (hypopnea) collapse of the pharyngeal airway during sleep, blocking the flow of air  ... 
doi:10.1109/access.2019.2920025 fatcat:jetjwgythzapxmqwutxcvwyhzq
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