Time Alignment as a Necessary Step in the Analysis of Sleep Probabilistic Curves

Time Alignment as a Necessary Step in the Analysis of Sleep Probabilistic Curves References[1] Rechtschaffen, A., Kales, A. (1968). A Manual of Standardized Terminology Techniques and Scoring System for Sleep Stages of Human Subjects. Public Health Service, U.S. Government Printing Office, Washington, D.C.[2] Lewandowski, A., Rosipal, R., Dorffner, G. (2012). Extracting more information from EEG recordings for a better description of sleep. Computer Method and Programs in Biomedicine, 108 (3), 961–972.[3] Gervini, D., Gasser, T. (2004). Self-modeling warping functions. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66 (4), 959–971.[4] Müller, H. G., Tang, R. (2008). Pairwise curve synchronisation for functional data. Biometrika, 95 (4), 875–889.[5] James, G.M. (2007). Curve alignment by moments. The Annals of Applied Statistics, 1 (2), 480–501.[6] Tucker, J.D., Wu, W., Srivastava, A. (2013). Generative models for functional data using phase and amplitude separation. Computational Statistics and Data Analysis, 61, 50–60.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000315552600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1016/j.csda.2012.12.001[7] Srivastava, A., Klassen, E., Joshi, S.H., Jermyn, I.H. (2011). Shape analysis of elastic curves in euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33 (7), 1415–1428.10.1109/TPAMI.2010.184[8] Srivastava, A., Wu, W., Kurtek, S., Klassen, E., Marron, J. S. (2011). Registration of functional data using Fisher-Rao metric. arXiv:1103.3817 [math.ST].[9] Klösch, G., Kemp, B., Penzel, T., Schlögl, A., Rappelsberger, P., Trenker, E., Gruber, G., Zeitlhofer, J., Saletu, B., Herrmann, W., Himanen, S., Kunz, D., Barbanoj, M., Röschke, J., Varri, A., Dorffner, G. (2001). The SIESTA project polygraphic and clinical database. Medicine and Biology Magazine, 20 (3), 51–57.[10] Rosipal, R., Lewandowski, A., Dorffner, G. (2013). In search of objective components for sleep quality indexing in normal sleep. Biological Psychology, 94 (1), 210–220.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000323480000025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3[11] Yao, F., Müller, H. G., Clifford, A. J., Dueker, S. R., Follet, J., Lin, Y., Buchholz, B. A., Vogel, J. S. (2003). Shrinkage estimation for functional principal component scores, with application to population kinetics of plasma folate. Biometrics, 59 (3), 676–685. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Measurement Science Review de Gruyter

Time Alignment as a Necessary Step in the Analysis of Sleep Probabilistic Curves

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De Gruyter Open
Copyright
© 2018 Zuzana Rošt’áková et al., published by De Gruyter Open
ISSN
1335-8871
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1335-8871
D.O.I.
10.1515/msr-2018-0001
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Abstract

References[1] Rechtschaffen, A., Kales, A. (1968). A Manual of Standardized Terminology Techniques and Scoring System for Sleep Stages of Human Subjects. Public Health Service, U.S. Government Printing Office, Washington, D.C.[2] Lewandowski, A., Rosipal, R., Dorffner, G. (2012). Extracting more information from EEG recordings for a better description of sleep. Computer Method and Programs in Biomedicine, 108 (3), 961–972.[3] Gervini, D., Gasser, T. (2004). Self-modeling warping functions. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66 (4), 959–971.[4] Müller, H. G., Tang, R. (2008). Pairwise curve synchronisation for functional data. Biometrika, 95 (4), 875–889.[5] James, G.M. (2007). Curve alignment by moments. The Annals of Applied Statistics, 1 (2), 480–501.[6] Tucker, J.D., Wu, W., Srivastava, A. (2013). Generative models for functional data using phase and amplitude separation. Computational Statistics and Data Analysis, 61, 50–60.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000315552600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1016/j.csda.2012.12.001[7] Srivastava, A., Klassen, E., Joshi, S.H., Jermyn, I.H. (2011). Shape analysis of elastic curves in euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33 (7), 1415–1428.10.1109/TPAMI.2010.184[8] Srivastava, A., Wu, W., Kurtek, S., Klassen, E., Marron, J. S. (2011). Registration of functional data using Fisher-Rao metric. arXiv:1103.3817 [math.ST].[9] Klösch, G., Kemp, B., Penzel, T., Schlögl, A., Rappelsberger, P., Trenker, E., Gruber, G., Zeitlhofer, J., Saletu, B., Herrmann, W., Himanen, S., Kunz, D., Barbanoj, M., Röschke, J., Varri, A., Dorffner, G. (2001). The SIESTA project polygraphic and clinical database. Medicine and Biology Magazine, 20 (3), 51–57.[10] Rosipal, R., Lewandowski, A., Dorffner, G. (2013). In search of objective components for sleep quality indexing in normal sleep. Biological Psychology, 94 (1), 210–220.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000323480000025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3[11] Yao, F., Müller, H. G., Clifford, A. J., Dueker, S. R., Follet, J., Lin, Y., Buchholz, B. A., Vogel, J. S. (2003). Shrinkage estimation for functional principal component scores, with application to population kinetics of plasma folate. Biometrics, 59 (3), 676–685.

Journal

Measurement Science Reviewde Gruyter

Published: Feb 1, 2018

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