메뉴 건너뛰기




Volumn 30, Issue 6, 2016, Pages 807-820

Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis

Author keywords

Adaptive online monitoring; Intensive care unit (ICU); Just in time learning (JITL); Principal component analysis (PCA)

Indexed keywords

FAULT DETECTION; INTENSIVE CARE UNITS; JUST IN TIME PRODUCTION; MONITORING; PARTIAL DISCHARGES; PATIENT MONITORING;

EID: 84944707089     PISSN: 13871307     EISSN: 15732614     Source Type: Journal    
DOI: 10.1007/s10877-015-9778-4     Document Type: Article
Times cited : (18)

References (35)
  • 1
    • 34548840519 scopus 로고    scopus 로고
    • Multimodality monitoring in neurocritical care
    • COI: 1:CAS:528:DC%2BD2sXhsVWktbbO, PID: 17900483
    • Wartenberg KE, Schmidt JM, Mayer SA. Multimodality monitoring in neurocritical care. Crit Care Clin. 2007;23(3):507–39. doi:10.1016/j.ccc.2007.06.002.
    • (2007) Crit Care Clin , vol.23 , Issue.3 , pp. 507-539
    • Wartenberg, K.E.1    Schmidt, J.M.2    Mayer, S.A.3
  • 2
    • 0031647499 scopus 로고    scopus 로고
    • Statistical pattern detection in univariate time series of intensive care on-line monitoring data
    • COI: 1:STN:280:DyaK1M7gtV2ktA%3D%3D, PID: 9885885
    • Imhoff M, Bauer M, Gather U, Lohlein D. Statistical pattern detection in univariate time series of intensive care on-line monitoring data. Intensive Care Med. 1998;24(12):1305–14.
    • (1998) Intensive Care Med , vol.24 , Issue.12 , pp. 1305-1314
    • Imhoff, M.1    Bauer, M.2    Gather, U.3    Lohlein, D.4
  • 3
    • 58149142502 scopus 로고    scopus 로고
    • A statistical model and simulator for cardiovascular pressure signals
    • COI: 1:STN:280:DC%2BD1cnnsVCisQ%3D%3D, PID: 18935816
    • Staats C, Austin D, Aboy M. A statistical model and simulator for cardiovascular pressure signals. Proc Inst Mech Eng H. 2008;222(6):991–8.
    • (2008) Proc Inst Mech Eng H , vol.222 , Issue.6 , pp. 991-998
    • Staats, C.1    Austin, D.2    Aboy, M.3
  • 4
    • 34548830143 scopus 로고    scopus 로고
    • Severity of illness and organ failure assessment in adult intensive care units
    • PID: 17900487
    • Afessa B, Gajic O, Keegan MT. Severity of illness and organ failure assessment in adult intensive care units. Crit Care Clin. 2007;23(3):639–58. doi:10.1016/j.ccc.2007.05.004.
    • (2007) Crit Care Clin , vol.23 , Issue.3 , pp. 639-658
    • Afessa, B.1    Gajic, O.2    Keegan, M.T.3
  • 8
    • 84887826026 scopus 로고    scopus 로고
    • Diagnosis support system based on clinical guidelines: comparison between case-based fuzzy cognitive maps and Bayesian networks
    • PID: 24599907
    • Douali N, Csaba H, De Roo J, Papageorgiou EI, Jaulent MC. Diagnosis support system based on clinical guidelines: comparison between case-based fuzzy cognitive maps and Bayesian networks. Comput Methods Programs Biomed. 2014;113(1):133–43. doi:10.1016/j.cmpb.2013.09.012.
    • (2014) Comput Methods Programs Biomed , vol.113 , Issue.1 , pp. 133-143
    • Douali, N.1    Csaba, H.2    De Roo, J.3    Papageorgiou, E.I.4    Jaulent, M.C.5
  • 9
    • 84864492973 scopus 로고    scopus 로고
    • Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients
    • Cismondi F, Horn AL, Fialho AS, Vieira SM, Reti SR, Sousa JMC, Finkelstein S. Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients. Expert Syst Appl. 2012;39(16):12332–9. doi:10.1016/j.eswa.2012.04.027.
    • (2012) Expert Syst Appl , vol.39 , Issue.16 , pp. 12332-12339
    • Cismondi, F.1    Horn, A.L.2    Fialho, A.S.3    Vieira, S.M.4    Reti, S.R.5    Sousa, J.M.C.6    Finkelstein, S.7
  • 10
    • 0031239233 scopus 로고    scopus 로고
    • Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model
    • COI: 1:STN:280:DyaK2svht12ntQ%3D%3D, PID: 9267590
    • Becker K, Thull B, Kasmacher-Leidinger H, Stemmer J, Rau G, Kalff G, Zimmermann HJ. Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model. Artif Intell Med. 1997;11(1):33–53.
    • (1997) Artif Intell Med , vol.11 , Issue.1 , pp. 33-53
    • Becker, K.1    Thull, B.2    Kasmacher-Leidinger, H.3    Stemmer, J.4    Rau, G.5    Kalff, G.6    Zimmermann, H.J.7
  • 11
    • 0034235507 scopus 로고    scopus 로고
    • Multiple signal integration by decision tree induction to detect artifacts in the neonatal intensive care unit
    • COI: 1:STN:280:DC%2BD3cvisFarsQ%3D%3D, PID: 10906612
    • Tsien CL, Kohane IS, McIntosh N. Multiple signal integration by decision tree induction to detect artifacts in the neonatal intensive care unit. Artif Intell Med. 2000;19(3):189–202.
    • (2000) Artif Intell Med , vol.19 , Issue.3 , pp. 189-202
    • Tsien, C.L.1    Kohane, I.S.2    McIntosh, N.3
  • 12
    • 44549087497 scopus 로고    scopus 로고
    • Patient-specific learning in real time for adaptive monitoring in critical care
    • PID: 18463000
    • Zhang Y, Szolovits P. Patient-specific learning in real time for adaptive monitoring in critical care. J Biomed Inform. 2008;41(3):452–60. doi:10.1016/j.jbi.2008.03.011.
    • (2008) J Biomed Inform , vol.41 , Issue.3 , pp. 452-460
    • Zhang, Y.1    Szolovits, P.2
  • 13
    • 33750686630 scopus 로고    scopus 로고
    • Risk analysis of a patient monitoring system using Bayesian network modeling
    • COI: 1:STN:280:DC%2BD28nms1Kkuw%3D%3D, PID: 16337837
    • Maglogiannis I, Zafiropoulos E, Platis A, Lambrinoudakis C. Risk analysis of a patient monitoring system using Bayesian network modeling. J Biomed Inform. 2006;39(6):637–47. doi:10.1016/j.jbi.2005.10.003.
    • (2006) J Biomed Inform , vol.39 , Issue.6 , pp. 637-647
    • Maglogiannis, I.1    Zafiropoulos, E.2    Platis, A.3    Lambrinoudakis, C.4
  • 14
    • 84869393301 scopus 로고    scopus 로고
    • Automatic Seizure detection using wavelet transform and SVM in long-term intracranial EEG
    • PID: 22868635
    • Liu YX, Zhou WD, Yuan Q, Chen SS. Automatic Seizure detection using wavelet transform and SVM in long-term intracranial EEG. IEEE Trans Neural Syst Rehabil Eng. 2012;20(6):749–55. doi:10.1109/Tnsre.2012.2206054.
    • (2012) IEEE Trans Neural Syst Rehabil Eng , vol.20 , Issue.6 , pp. 749-755
    • Liu, Y.X.1    Zhou, W.D.2    Yuan, Q.3    Chen, S.S.4
  • 15
    • 0036853226 scopus 로고    scopus 로고
    • Survey on the use of smart and adaptive engineering systems in medicine
    • COI: 1:STN:280:DC%2BD38nos12mug%3D%3D, PID: 12446078
    • Abbod MF, Linkens DA, Mahfouf M, Dounias G. Survey on the use of smart and adaptive engineering systems in medicine. Artif Intell Med. 2002;26(3):179–209. doi:10.1016/S0933-3657(02)00083-0.
    • (2002) Artif Intell Med , vol.26 , Issue.3 , pp. 179-209
    • Abbod, M.F.1    Linkens, D.A.2    Mahfouf, M.3    Dounias, G.4
  • 17
    • 84899489955 scopus 로고    scopus 로고
    • Decision support from local data: creating adaptive order menus from past clinician behavior
    • PID: 24355978
    • Klann JG, Szolovits P, Downs SM, Schadow G. Decision support from local data: creating adaptive order menus from past clinician behavior. J Biomed Inform. 2014;48:84–93. doi:10.1016/j.jbi.2013.12.005.
    • (2014) J Biomed Inform , vol.48 , pp. 84-93
    • Klann, J.G.1    Szolovits, P.2    Downs, S.M.3    Schadow, G.4
  • 18
    • 0031647499 scopus 로고    scopus 로고
    • Statistical pattern detection in univariate time series of intensive care on-line monitoring data
    • COI: 1:STN:280:DyaK1M7gtV2ktA%3D%3D, PID: 9885885
    • Imhoff M, Bauer M, Gather U, Lohlein D. Statistical pattern detection in univariate time series of intensive care on-line monitoring data. Intensive Care Med. 1998;24(12):1305–14.
    • (1998) Intensive Care Med , vol.24 , Issue.12 , pp. 1305-1314
    • Imhoff, M.1    Bauer, M.2    Gather, U.3    Lohlein, D.4
  • 19
    • 0034235151 scopus 로고    scopus 로고
    • Towards symbolization using data-driven extraction of local trends for ICU monitoring
    • COI: 1:STN:280:DC%2BD3cvisFartg%3D%3D, PID: 10906613
    • Calvelo D, Chambrin MC, Pomorski D, Ravaux P. Towards symbolization using data-driven extraction of local trends for ICU monitoring. Artif Intell Med. 2000;19(3):203–23.
    • (2000) Artif Intell Med , vol.19 , Issue.3 , pp. 203-223
    • Calvelo, D.1    Chambrin, M.C.2    Pomorski, D.3    Ravaux, P.4
  • 20
    • 34248158172 scopus 로고    scopus 로고
    • A trend-based alarm system to improve patient monitoring in intensive care units
    • Charbonnier S, Gentil S. A trend-based alarm system to improve patient monitoring in intensive care units. Control Eng Pract. 2007;15(9):1039–50. doi:10.1016/j.conengprac.2006.12.005.
    • (2007) Control Eng Pract , vol.15 , Issue.9 , pp. 1039-1050
    • Charbonnier, S.1    Gentil, S.2
  • 21
    • 85027919656 scopus 로고    scopus 로고
    • Preface for the special section on case-based reasoning in the health sciences
    • Bichindaritz I, Marling C, Montani S. Preface for the special section on case-based reasoning in the health sciences. Expert Syst Appl. 2014;41(2):247–8. doi:10.1016/j.eswa.2013.05.062.
    • (2014) Expert Syst Appl , vol.41 , Issue.2 , pp. 247-248
    • Bichindaritz, I.1    Marling, C.2    Montani, S.3
  • 22
    • 84885951188 scopus 로고    scopus 로고
    • Case-based reasoning adaptation of numerical representations of human organs by interpolation
    • Henriet J, Leni PE, Laurent R, Salomon M. Case-based reasoning adaptation of numerical representations of human organs by interpolation. Expert Syst Appl. 2014;41(2):260–6. doi:10.1016/j.eswa.2013.05.064.
    • (2014) Expert Syst Appl , vol.41 , Issue.2 , pp. 260-266
    • Henriet, J.1    Leni, P.E.2    Laurent, R.3    Salomon, M.4
  • 23
    • 84885959661 scopus 로고    scopus 로고
    • RESPIDIAG: a case-based reasoning system for the diagnosis of chronic obstructive pulmonary disease
    • Guessoum S, Laskri MT, Lieber J. RESPIDIAG: a case-based reasoning system for the diagnosis of chronic obstructive pulmonary disease. Expert Syst Appl. 2014;41(2):267–73. doi:10.1016/j.eswa.2013.05.065.
    • (2014) Expert Syst Appl , vol.41 , Issue.2 , pp. 267-273
    • Guessoum, S.1    Laskri, M.T.2    Lieber, J.3
  • 24
    • 84885957147 scopus 로고    scopus 로고
    • eXiTCDSS: a framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI
    • El-Fakdi A, Gamero F, Melendez J, Auffret V, Haigron P. eXiTCDSS: a framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI. Expert Syst Appl. 2014;41(2):284–94. doi:10.1016/j.eswa.2013.05.067.
    • (2014) Expert Syst Appl , vol.41 , Issue.2 , pp. 284-294
    • El-Fakdi, A.1    Gamero, F.2    Melendez, J.3    Auffret, V.4    Haigron, P.5
  • 25
    • 84885960318 scopus 로고    scopus 로고
    • Synergistic case-based reasoning in medical domains
    • Marling C, Montani S, Bichindaritz I, Funk P. Synergistic case-based reasoning in medical domains. Expert Syst Appl. 2014;41(2):249–59. doi:10.1016/j.eswa.2013.05.063.
    • (2014) Expert Syst Appl , vol.41 , Issue.2 , pp. 249-259
    • Marling, C.1    Montani, S.2    Bichindaritz, I.3    Funk, P.4
  • 26
    • 14844303316 scopus 로고    scopus 로고
    • Nonlinear process monitoring using JITL–PCA
    • COI: 1:CAS:528:DC%2BD2MXitFWru7s%3D
    • Cheng C, Chiu MS. Nonlinear process monitoring using JITL–PCA. Chemom Intell Lab Syst. 2005;76(1):1–13. doi:10.1016/j.chemolab.2004.08.003.
    • (2005) Chemom Intell Lab Syst , vol.76 , Issue.1 , pp. 1-13
    • Cheng, C.1    Chiu, M.S.2
  • 27
    • 22944436794 scopus 로고    scopus 로고
    • Process monitoring approach using fast moving window PCA
    • COI: 1:CAS:528:DC%2BD2MXkvFSrs7g%3D
    • Wang X, Kruger U, Irwin GW. Process monitoring approach using fast moving window PCA. Ind Eng Chem Res. 2005;44(15):5691–702. doi:10.1021/Ie048873f.
    • (2005) Ind Eng Chem Res , vol.44 , Issue.15 , pp. 5691-5702
    • Wang, X.1    Kruger, U.2    Irwin, G.W.3
  • 28
    • 85028159926 scopus 로고    scopus 로고
    • ECG beat classification using PCA, LDA, ICA and discrete wavelet transform
    • Martis RJ, Acharya UR, Min LC. ECG beat classification using PCA, LDA, ICA and discrete wavelet transform. Biomed Signal Process Control. 2013;8(5):437–48.
    • (2013) Biomed Signal Process Control , vol.8 , Issue.5 , pp. 437-448
    • Martis, R.J.1    Acharya, U.R.2    Min, L.C.3
  • 30
    • 84869089680 scopus 로고    scopus 로고
    • Survey on data-driven industrial process monitoring and diagnosis
    • Qin SJ. Survey on data-driven industrial process monitoring and diagnosis. Annu Rev Control. 2012;36(2):220–34. doi:10.1016/j.arcontrol.2012.09.004.
    • (2012) Annu Rev Control , vol.36 , Issue.2 , pp. 220-234
    • Qin, S.J.1
  • 31
    • 80052565753 scopus 로고    scopus 로고
    • Improved nonlinear PCA for process monitoring using support vector data description
    • COI: 1:CAS:528:DC%2BC3MXhtFCgt7fP
    • Liu XQ, Li K, McAfee M, Irwin GW. Improved nonlinear PCA for process monitoring using support vector data description. J Process Control. 2011;21(9):1306–17. doi:10.1016/j.jprocont.2011.07.003.
    • (2011) J Process Control , vol.21 , Issue.9 , pp. 1306-1317
    • Liu, X.Q.1    Li, K.2    McAfee, M.3    Irwin, G.W.4
  • 32
    • 4644250314 scopus 로고    scopus 로고
    • The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring
    • COI: 1:CAS:528:DC%2BD2cXnvFGmu7c%3D
    • Ramaker HJ, van Sprang ENM, Westerhuis JA, Smilde AK. The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring. Chemom Intell Lab Syst. 2004;73(2):181–7. doi:10.1016/j.chemolab.2003.12.015.
    • (2004) Chemom Intell Lab Syst , vol.73 , Issue.2 , pp. 181-187
    • Ramaker, H.J.1    van Sprang, E.N.M.2    Westerhuis, J.A.3    Smilde, A.K.4
  • 33
    • 0035802262 scopus 로고    scopus 로고
    • Reconstruction-based fault identification using a combined index
    • COI: 1:CAS:528:DC%2BD3MXmt1OltLY%3D
    • Yue HH, Qin SJ. Reconstruction-based fault identification using a combined index. Ind Eng Chem Res. 2001;40(20):4403–14. doi:10.1021/Ie000141+.
    • (2001) Ind Eng Chem Res , vol.40 , Issue.20 , pp. 4403-4414
    • Yue, H.H.1    Qin, S.J.2
  • 35
    • 33646122012 scopus 로고    scopus 로고
    • Cardiac health diagnosis using data fusion of cardiovascular and haemodynamic signals
    • COI: 1:STN:280:DC%2BD283ltlSqsg%3D%3D, PID: 16621125
    • Kannathal N, Acharya UR, Ng EYK, Krishnan SM, Min LC, Laxminarayan S. Cardiac health diagnosis using data fusion of cardiovascular and haemodynamic signals. Comput Methods Programs Biomed. 2006;82(2):87–96. doi:10.1016/j.cmpb.2006.01.009.
    • (2006) Comput Methods Programs Biomed , vol.82 , Issue.2 , pp. 87-96
    • Kannathal, N.1    Acharya, U.R.2    Ng, E.Y.K.3    Krishnan, S.M.4    Min, L.C.5    Laxminarayan, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.