{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:13:06Z","timestamp":1767651186703,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s11517-022-02577-1","type":"journal-article","created":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T02:04:43Z","timestamp":1653876283000},"page":"2159-2172","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Chest area segmentation in 3D images of sleeping patients"],"prefix":"10.1007","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0896-773X","authenticated-orcid":false,"given":"Yoav","family":"Goldstein","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0931-4017","authenticated-orcid":false,"given":"Martin","family":"Sch\u00e4tz","sequence":"additional","affiliation":[]},{"given":"Mireille","family":"Avigal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,30]]},"reference":[{"key":"2577_CR1","doi-asserted-by":"crossref","unstructured":"Flemons WW, Littner MR, Rowley JA, Gay P, Anderson WM, Hudgel DW, McEvoy RD, Loube DI (2003) Home diagnosis of sleep apnea: a systematic review of the literature. Chest 124(4):1543\u20131579 [Online]. Available: http:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0012369216487052","DOI":"10.1378\/chest.124.4.1543"},{"issue":"7","key":"2577_CR2","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1007\/s11760-016-0897-2","volume":"10","author":"A Proch\u00e1zka","year":"2016","unstructured":"Proch\u00e1zka A, Sch\u00e4tz M, Centonze F, Kuchy\u0148ka J, Vy\u0161ata O, Vali\u0161 M (2016) Extraction of breathing features using MS Kinect for sleep stage detection. Signal Image and Video Processing 10(7):1279\u20131286","journal-title":"Signal Image and Video Processing"},{"key":"2577_CR3","doi-asserted-by":"crossref","unstructured":"Gibson, GJ (2004) Obstructive sleep apnoea syndrome: underestimated and undertreated. Br Med Bull 72(1):49\u201364. [Online]. Available: https:\/\/academic.oup.com\/bmb\/article\/72\/1\/49\/272854","DOI":"10.1093\/bmb\/ldh044"},{"key":"2577_CR4","doi-asserted-by":"crossref","unstructured":"Al-Naji A, Gibson K, Lee S-H, Chahl J (2017) Real time apnoea monitoring of children using the microsoft kinect sensor: a pilot study. Sensors 17(2):286. [Online]. Available: http:\/\/www.mdpi.com\/1424-8220\/17\/2\/286","DOI":"10.3390\/s17020286"},{"key":"2577_CR5","doi-asserted-by":"crossref","unstructured":"Palmero C, Esquirol J, Bayo V, Cos M\u00c0, Ahmadmonfared P, Salabert J, S\u00e1nchez D, Escalera S (2017) Automatic sleep system recommendation by multi-modal RBG-depth-pressure anthropometric analysis. Int J Comput Vision 122(2):212\u2013227. [Online]. Available: http:\/\/link.springer.com\/10.1007\/s11263-016-0919-0","DOI":"10.1007\/s11263-016-0919-0"},{"key":"2577_CR6","doi-asserted-by":"crossref","unstructured":"Sch\u00e4tz M, Proch\u00e1zka A, Kuchy\u0148ka J, Vy\u0161ata O (2020) Sleep apnea detection with polysomnography and depth sensors. Sensors (Switzerland)","DOI":"10.3390\/s20051360"},{"key":"2577_CR7","doi-asserted-by":"crossref","unstructured":"Hirshkowitz M (2014) Polysomnography: understanding this technology\u2019s past might guide future developments. IEEE Pulse 5(5):26\u201328. [Online]. Available: http:\/\/ieeexplore.ieee.org\/document\/6908144\/","DOI":"10.1109\/MPUL.2014.2339291"},{"key":"2577_CR8","doi-asserted-by":"crossref","unstructured":"Young T, Peppard PE, Gottlieb DJ (2002) Epidemiology of obstructive sleep apnea: a population health perspective, pp 1217\u20131239","DOI":"10.1164\/rccm.2109080"},{"key":"2577_CR9","doi-asserted-by":"publisher","unstructured":"Charlton PH, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW, Alastruey J, Tarassenko L, Watkinson PJ, Beale R, Clifton DA (2018) Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review. IEEE Rev Biomed Eng 11:2\u201320. [Online]. Available: https:\/\/doi.org\/10.1109\/rbme.2017.2763681","DOI":"10.1109\/rbme.2017.2763681"},{"key":"2577_CR10","doi-asserted-by":"crossref","unstructured":"Lazazzera R, Laguna P, Gil E, Carrault G (2021) Proposal for a home sleep monitoring platform employing a smart glove. Sensors 21(23). [Online]. Available: https:\/\/www.mdpi.com\/1424-8220\/21\/23\/7976","DOI":"10.3390\/s21237976"},{"key":"2577_CR11","doi-asserted-by":"crossref","unstructured":"Dafna E, Tarasiuk A, Zigel Y (2015) Sleep-wake evaluation from whole-night non-contact audio recordings of breathing sounds. PLoS ONE 10(2)","DOI":"10.1371\/journal.pone.0117382"},{"key":"2577_CR12","doi-asserted-by":"crossref","unstructured":"Harte JM, Golby CK, Acosta J, Nash EF, Kiraci E, Williams MA, Arvanitis TN, Naidu B (2016) Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system, Med Biol Eng Comput 54(11):1631\u20131640. [Online]. Available: http:\/\/link.springer.com\/10.1007\/s11517-015-1433-1","DOI":"10.1007\/s11517-015-1433-1"},{"key":"2577_CR13","first-page":"2052","volume":"2013","author":"M Kagawa","year":"2013","unstructured":"Kagawa M, Ueki K, Tojima H, Matsui T (2013) Noncontact screening system with two microwave radars for the diagnosis of sleep apnea-hypopnea syndrome, Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2013:2052\u20132055","journal-title":"Annual Conference"},{"issue":"4","key":"2577_CR14","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1109\/TMM.2016.2626969","volume":"19","author":"C Yang","year":"2017","unstructured":"Yang C, Cheung G, Stankovic V, Chan K, Ono N (2017) Sleep apnea detection via depth video and audio feature learning. IEEE Trans Multimed 19(4):822\u2013835","journal-title":"IEEE Trans Multimed"},{"key":"2577_CR15","doi-asserted-by":"crossref","unstructured":"Sch\u00e4tz M, Centonze F, Kuchynka J, Tupa O, Vysata O, Geman O, Prochazka A (2015) Statistical recognition of breathing by MS Kinect depth sensor. In: 2015 International workshop on computational intelligence for multimedia understanding (IWCIM). IEEE, pp 1\u20134. [Online]. Available: http:\/\/ieeexplore.ieee.org\/lpdocs\/epic03\/wrapper.htm?arnumber=7347062","DOI":"10.1109\/IWCIM.2015.7347062"},{"key":"2577_CR16","unstructured":"Nguyen P, Transue S, Choi M-H, Halbower AC, Vu T (2016) WiKiSpiro: non-contact respiration volume monitoring during sleep. 8th Wireless of the Students, by the Students, and for the Students Workshop, S3, vol. 03-07-Octo, no 2, pp. 27\u201329. [Online]. Available: https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-84994184650&partnerID=40&md5=5f9db30d9f6744108d158e859642a55e"},{"issue":"14","key":"2577_CR17","doi-asserted-by":"publisher","first-page":"4508","DOI":"10.1109\/JSEN.2017.2703829","volume":"17","author":"M Carfagni","year":"2017","unstructured":"Carfagni M, Furferi R, Governi L, Servi M, Uccheddu F, Volpe Y (2017) On the performance of the intel sr300 depth camera: metrological and critical characterization. IEEE Sensors J 17(14):4508\u20134519","journal-title":"IEEE Sensors J"},{"issue":"3","key":"2577_CR18","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.imavis.2011.12.001","volume":"30","author":"LA Schwarz","year":"2012","unstructured":"Schwarz LA, Mkhitaryan A, Mateus D, Navab N (2012) Human skeleton tracking from depth data using geodesic distances and optical flow. Image and Vision Computing 30(3):217\u2013226","journal-title":"Image and Vision Computing"},{"key":"2577_CR19","doi-asserted-by":"crossref","unstructured":"Garn H, Kohn B, Dittrich K, Wiesmeyr C, Kloesch G, Stepansky R, Wimmer M, Ipsiroglu O, Grossegger D, Kemethofer M, Seidel S (2016) 3D detection of periodic limb movements in sleep. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 427\u2013430. [Online]. Available: http:\/\/ieeexplore.ieee.org\/document\/7590731\/","DOI":"10.1109\/EMBC.2016.7590731"},{"issue":"15","key":"2577_CR20","doi-asserted-by":"publisher","first-page":"1995","DOI":"10.1016\/j.patrec.2013.02.006","volume":"34","author":"L Chen","year":"2013","unstructured":"Chen L, Wei H, Ferryman J (2013) A survey of human motion analysis using depth imagery. Pattern Recogn Lett 34(15):1995\u20132006","journal-title":"Pattern Recogn Lett"},{"key":"2577_CR21","doi-asserted-by":"crossref","unstructured":"Schwarz LA, Mkhitaryan A, Mateus D, Navab N (2011) Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow. 2011 IEEE international conference on automatic face and gesture recognition and workshops, FG 2011, pp 700\u2013706","DOI":"10.1109\/FG.2011.5771333"},{"issue":"1","key":"2577_CR22","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TPAMI.2019.2929257","volume":"43","author":"Z Cao","year":"2021","unstructured":"Cao Z, Hidalgo G, Simon T, Wei SE, Sheikh Y (2021) OpenPose: Realtime multi-person 2D pose estimation using part affinity fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 43(1):172\u2013186","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2577_CR23","doi-asserted-by":"crossref","unstructured":"Wang W, Zhu H, Dai J, Pang Y, Shen J, Shao L (2020) Hierarchical human parsing with typed part-relation reasoning. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. pp 8929\u20138939","DOI":"10.1109\/CVPR42600.2020.00895"},{"key":"2577_CR24","doi-asserted-by":"crossref","unstructured":"Wang W, Zhang Z, Qi S, Shen J, Pang Y, Shao L (2019) Learning compositional neural information fusion for human parsing. In: 2019 IEEE\/CVF international conference on computer vision (ICCV). pp 5702\u20135712","DOI":"10.1109\/ICCV.2019.00580"},{"key":"2577_CR25","doi-asserted-by":"crossref","unstructured":"Plagemann C, Ganapathi V, Koller D, Thrun S (2010) Real-time identification and localization of body parts from depth images. In: 2010 IEEE international conference on robotics and automation. IEEE, pp 3108\u20133113","DOI":"10.1109\/ROBOT.2010.5509559"},{"key":"2577_CR26","doi-asserted-by":"crossref","unstructured":"Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A (2011) Real-time human pose recognition in parts from single depth images. In CVPR 2011. IEEE, pp 1297\u20131304","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"2577_CR27","doi-asserted-by":"crossref","unstructured":"Okuno A, Ishikawa T, Watanabe H (2020) Rollover detection of infants using posture estimation model. In: 2020 IEEE 9th global conference on consumer electronics (GCCE). IEEE, pp 490\u2013493","DOI":"10.1109\/GCCE50665.2020.9292052"},{"key":"2577_CR28","doi-asserted-by":"crossref","unstructured":"Mallick T, Das PP, Majumdar AK (2014) Characterizations of noise in Kinect depth images: a review. pp. 1731\u20131740","DOI":"10.1109\/JSEN.2014.2309987"},{"key":"2577_CR29","doi-asserted-by":"crossref","unstructured":"Huang W, Wai AAP, Foo SF, Biswas J, Hsia C-C, Liou K (2010) Multimodal sleeping posture classification. In: 2010 20th International conference on pattern recognition. IEEE, pp 4336\u20134339","DOI":"10.1109\/ICPR.2010.1054"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02577-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-022-02577-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02577-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T03:43:07Z","timestamp":1658202187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-022-02577-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,30]]},"references-count":29,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["2577"],"URL":"https:\/\/doi.org\/10.1007\/s11517-022-02577-1","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"type":"print","value":"0140-0118"},{"type":"electronic","value":"1741-0444"}],"subject":[],"published":{"date-parts":[[2022,5,30]]},"assertion":[{"value":"6 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}