{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:37:43Z","timestamp":1759207063851,"version":"3.41.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2016,5,3]],"date-time":"2016-05-03T00:00:00Z","timestamp":1462233600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1007\/s11760-016-0897-2","type":"journal-article","created":{"date-parts":[[2016,5,3]],"date-time":"2016-05-03T04:20:02Z","timestamp":1462249202000},"page":"1279-1286","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Extraction of breathing features using MS Kinect for sleep stage detection"],"prefix":"10.1007","volume":"10","author":[{"given":"Ale\u0161","family":"Proch\u00e1zka","sequence":"first","affiliation":[]},{"given":"Martin","family":"Sch\u00e4tz","sequence":"additional","affiliation":[]},{"given":"Fabio","family":"Centonze","sequence":"additional","affiliation":[]},{"given":"Ji\u0159\u00ed","family":"Kuchy\u0148ka","sequence":"additional","affiliation":[]},{"given":"Old\u0159ich","family":"Vy\u0161ata","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Vali\u0161","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,5,3]]},"reference":[{"key":"897_CR1","doi-asserted-by":"crossref","unstructured":"Alnowami, M., Alnwaimi, B., Tahavori, F., Copland, M., Wells, K.: A quantitative assessment of using the Kinect for Xbox360 for respiratory surface motion tracking. In: Proc. of SPIE 8316, Medical Imaging, pp. 1\u201310 (2012)","DOI":"10.1117\/12.911463"},{"key":"897_CR2","unstructured":"Aoki, H., Miyazaki, M., Nakamura, H., Furukawa, R., Sagawa, R., Kawasaki, H.: Non-contact respiration measurement using structured light 3-D sensor. In: Proc. of SICE Annual Conf., pp. 614\u2013618 (2012)"},{"key":"897_CR3","unstructured":"Assefa, S., Diaz-Abad, M., Korotinsky, A., Tom, S., Scharf, S.M.: Comparison of a simple obstructive sleep apnea screening device with standard in-laboratory polysomnography. Sleep Breath. First online: Aug. 2015, 1\u20135 (2015)"},{"key":"897_CR4","doi-asserted-by":"crossref","unstructured":"Bernacchia, N., Scalise, L., Casacanditella, L., Ercoli, I., Marchionni, P., Tomasini, E.: Non contact measurement of heart and respiration rates based on Kinect. In: Int. Symp. on Medical Meas. and Appl., pp. 1\u20135 (2014)","DOI":"10.1109\/MeMeA.2014.6860065"},{"key":"897_CR5","doi-asserted-by":"crossref","unstructured":"Burba, N., Bolas, M., Krum, D., Suma, E.: Unobtrusive measurement of subtle nonverbal behaviors with the Microsoft Kinect. In: Proc.IEEE Virt.Reality, pp.1\u20134 (2012)","DOI":"10.1109\/VR.2012.6180952"},{"issue":"1","key":"897_CR6","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1088\/0967-3334\/20\/1\/004","volume":"20","author":"B Carlson","year":"1999","unstructured":"Carlson, B., Neelon, V., Hsiao, H.: Evaluation of a non-invasive respiratory monitoring system for sleeping subjects. Physiol. Meas. 20(1), 53\u201363 (1999)","journal-title":"Physiol. Meas."},{"key":"897_CR7","unstructured":"Centonze, F.: Image processing and three-dimensional modeling using Microsoft Kinect v2 in analysis of sleep disorders. Thesis, Polytechnico Milano, Italy (2015)"},{"issue":"2","key":"897_CR8","doi-asserted-by":"crossref","first-page":"e0117382","DOI":"10.1371\/journal.pone.0117382","volume":"10","author":"E Dafna","year":"2015","unstructured":"Dafna, E., Tarasiuk, A., Zigel, Y.: Sleep-wake evaluation from whole-night non-contact audio recordings of breathing sounds. Plos One 10(2), e0117382 (2015)","journal-title":"Plos One"},{"issue":"11","key":"897_CR9","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1136\/thx.37.11.840","volume":"37","author":"NJ Douglas","year":"1982","unstructured":"Douglas, N.J., White, D.P., Pickett, C.K., Weil, J.V., Zwillich, C.W.: Respiration during sleep in normal man. Thorax 37(11), 840\u2013844 (1982)","journal-title":"Thorax"},{"issue":"2","key":"897_CR10","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MSP.2015.2489978","volume":"33","author":"F Erden","year":"2016","unstructured":"Erden, F., Velipasalar, S., Alkar, A.Z., Cetin, A.E.: Sensors in assisted living. IEEE Signal Process. Mag. 33(2), 36\u201344 (2016)","journal-title":"IEEE Signal Process. Mag."},{"key":"897_CR11","doi-asserted-by":"crossref","unstructured":"Hos\u0165\u00e1lkov\u00e1, E., Vy\u0161ata, O., Proch\u00e1zka, A.: Multi-dimensional biomedical image de-noising using Haar transform. In: Proc. of 15th Int. Conf. on Digital Signal Processing, pp. 175\u2013178 (2007)","DOI":"10.1109\/ICDSP.2007.4288547"},{"key":"897_CR12","doi-asserted-by":"crossref","unstructured":"Kagawa, M., Ueki, K., Tojima, H., Matsui, T.: Noncontact screening system with two microwave radars for the diagnosis of sleep apnea-hypopnea syndrome. In: Proc. of the 35th Annual Int. Conf. of the IEEE: Engineering in Medicine and Biology Society, pp. 2052\u20132055 (2013)","DOI":"10.1109\/EMBC.2013.6609935"},{"key":"897_CR13","unstructured":"Kolb, A., Barth, E., Koch, R., Larsen, R.: Time-of-Flight Sensors in Computer Graphics In: Eurographics 2009 - State of the Art Reports, pp. 119\u2013134 (2009)"},{"issue":"3&4","key":"897_CR14","first-page":"327","volume":"10","author":"B Kr\u00fcger","year":"2014","unstructured":"Kr\u00fcger, B., V\u00f6gele, A., Lassiri, M., Herwartz, L., Terkatz, T., Weber, A., Garcia, C., Fietze, I., Penzel, T.: Sleep detection using de-identified depth data. J. Mob. Multimed. 10(3&4), 327\u2013342 (2014)","journal-title":"J. Mob. Multimed."},{"key":"897_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JTEHM.2014.2365776","volume":"2","author":"YS Lee","year":"2014","unstructured":"Lee, Y.S., Pathirana, P.N., Steinfort, C.L., Caelli, T.: Monitoring and analysis of respiratory patterns using microwave Doppler radar. IEEE J. Eng. Health Med. 2, 1\u201312 (2014)","journal-title":"IEEE J. Eng. Health Med."},{"key":"897_CR16","doi-asserted-by":"crossref","unstructured":"Lee, J., Hong, M., Ryu, S.: Sleep Monitoring System Using Kinect Sensor. Int J Distrib Sens Netw, Article ID 875371, (2015)","DOI":"10.1155\/2015\/875371"},{"key":"897_CR17","doi-asserted-by":"crossref","unstructured":"Long, X., Foussier, J., Fonseca, P., Haakma, R., Aarts, R.: Respiration amplitude analysis for REM and NREM sleep classification. In: Int. Conf. of the IEEE Engineering in Medicine and Biology Society, pp. 5017\u20135020 (2013)","DOI":"10.1109\/EMBC.2013.6610675"},{"key":"897_CR18","unstructured":"Martinez, M., Stiefelhagen, R.: Breath rate monitoring during sleep using near-IR imagery and PCA. In: 21st Int. Conf. on Pattern Recognition (ICPR), vol. 48, pp. 3472\u20133475 (2012)"},{"key":"897_CR19","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s00779-012-0623-1","volume":"18","author":"V Metsis","year":"2014","unstructured":"Metsis, V., Kosmopoulos, D., Athitsos, V., Makedon, F.: Non-invasive analysis of sleep patterns via multimodal sensor input. Pers Ubiquitous Comp 18, 19\u201326 (2014)","journal-title":"Pers Ubiquitous Comp"},{"issue":"5","key":"897_CR20","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s11548-008-0245-2","volume":"3","author":"J Penne","year":"2008","unstructured":"Penne, J., Schaller, C., Hornegger, J., Kuwert, T.: Robust real-time 3D respiratory motion detection using time-of-flight cameras. Int. J. Comput. Assist. Radiol. Surg. 3(5), 427\u2013431 (2008)","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"6","key":"897_CR21","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1007\/s00521-014-1622-0","volume":"25","author":"A Proch\u00e1zka","year":"2015","unstructured":"Proch\u00e1zka, A., Vy\u0161ata, O.: T\u030cT\u030cupa, O., Yadollahi, M., Vali\u0161, M.: Discrimination of axonal neuropathy using sensitivity and specificity statistical measures. Neural Comput. Appl. 25(6), 1349\u20131358 (2015)","journal-title":"Neural Comput. Appl."},{"key":"897_CR22","doi-asserted-by":"crossref","unstructured":"Proch\u00e1zka, A., Vy\u0161ata, O., Vali\u0161, M., T\u030cT\u030cupa, O., Sch\u00e4tz, M., Ma\u0159\u00edk, V.: Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect. Digit Signal Process. 47, 169\u2013177 (2015)","DOI":"10.1016\/j.dsp.2015.05.011"},{"issue":"2","key":"897_CR23","first-page":"6","volume":"1","author":"R Rai","year":"2011","unstructured":"Rai, R., Sontakke, T.: Implementation of image denoising using wavelet thresholding techniques. Int. J. Comput. Technol. Electron. Eng. 1(2), 6\u201310 (2011)","journal-title":"Int. J. Comput. Technol. Electron. Eng."},{"key":"897_CR24","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Sotelo, J.L., Osorio-Forero, A., Jim\u00e9nez-Rodr\u00edguez, A., Cuesta-Frau, D., Cirugeda-Rold\u00e1n, E., Peluffo, D.: Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques. Entropy 16, 6573\u20136589 (2014)","DOI":"10.3390\/e16126573"},{"issue":"3","key":"897_CR25","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1109\/TBME.2005.869773","volume":"53","author":"S Redmond","year":"2006","unstructured":"Redmond, S., Heneghan, C.: Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea. IEEE Trans. Biomed. Eng. 53(3), 485\u2013496 (2006)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"897_CR26","doi-asserted-by":"crossref","unstructured":"Schatz, M., Centonze, F., Kuchynka, J., Tupa, O., Vysata, O., Geman, O., Prochazka, A.: Statistical recognition of breathing by MS Kinect depth sensor. In: Int. Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), pp. 1\u20134 (2015)","DOI":"10.1109\/IWCIM.2015.7347062"},{"issue":"18","key":"897_CR27","first-page":"1","volume":"38","author":"B Sen","year":"2014","unstructured":"Sen, B., Peker, M., Cavusoglu, A., Celabi, F.V.: A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. J. Med. Syst. 38(18), 1\u201321 (2014)","journal-title":"J. Med. Syst."},{"issue":"5","key":"897_CR28","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1136\/thx.40.5.364","volume":"40","author":"JR Stradling","year":"1985","unstructured":"Stradling, J.R., Chadwick, G.A., Frew, A.J.: Changes in ventilation and its components in normal subjects during sleep. Thorax 40(5), 364\u2013370 (1985)","journal-title":"Thorax"},{"key":"897_CR29","doi-asserted-by":"crossref","unstructured":"Taheri, T., Anna, A.S.: Non-Invasive Breathing Rate Detection Using a Very Low Power Ultra-wide-band Radar. In: IEEE Int. Conf. on Bioinformatics and Biomedicine (BIBM), pp. 70\u201383 (2014)","DOI":"10.1109\/BIBM.2014.6999272"},{"issue":"5","key":"897_CR30","doi-asserted-by":"crossref","first-page":"2682","DOI":"10.1118\/1.4704644","volume":"39","author":"J Xia","year":"2012","unstructured":"Xia, J., Siochi, R.A.: A real-time respiratory motion monitoring system using kinect: proof of concept. Med. Phys. 39(5), 2682\u20132685 (2012)","journal-title":"Med. Phys."},{"key":"897_CR31","doi-asserted-by":"crossref","unstructured":"Yu, M.C., Liou, J.L., Kuo, S.W., Lee, M.S., Hung, Y.P.: Noncontact respiratory measurement of volume change using depth camera. In: IEEE Int. Conf. Engineering in Medicine and Biology Society, pp. 2371\u20132374 (2012)","DOI":"10.1109\/EMBC.2012.6346440"},{"issue":"2","key":"897_CR32","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1111\/j.1365-2869.2012.01056.x","volume":"22","author":"A Zaffaroni","year":"2014","unstructured":"Zaffaroni, A., Kent, B., O\u2019Hare, E., et al.: Assessment of sleep-disordered breathing using a non-contact bio-motion sensor. J. Sleep Res. 22(2), 231\u2013236 (2014)","journal-title":"J. Sleep Res."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-016-0897-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-016-0897-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-016-0897-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T23:53:50Z","timestamp":1748908430000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-016-0897-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,3]]},"references-count":32,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2016,10]]}},"alternative-id":["897"],"URL":"https:\/\/doi.org\/10.1007\/s11760-016-0897-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2016,5,3]]}}}