메뉴 건너뛰기




Volumn , Issue , 2010, Pages 2403-2406

Wavelet based time series forecast with application to acute hypotensive episodes prediction

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DECOMPOSITION/RECONSTRUCTION; LEARNING ABILITIES; NEURAL NETWORKS MODEL; PHASE A; PHYSIONET; PREDICTION PROBLEM; SIGNAL TIME; TIME SERIES FORECASTS; TIME SERIES PREDICTION; TRAINING DATASET;

EID: 78650844264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626115     Document Type: Conference Paper
Times cited : (22)

References (27)
  • 1
    • 46749101302 scopus 로고    scopus 로고
    • Time series prediction using wavelet process neural network
    • Gang, D., Shi-Sheng Z., Yang, L; Time series prediction using wavelet process neural network, Journal Chinese Physics B, 17:6, 2008.
    • (2008) Journal Chinese Physics B , vol.17 , pp. 6
    • Gang, D.1    Shi-Sheng, Z.2    Yang, L.3
  • 2
    • 58049105467 scopus 로고    scopus 로고
    • Forecasting using non-linear techniques in time series analysis: An overview of techniques and main issues
    • Malta, September
    • Camilleri, M.; Forecasting Using Non-Linear Techniques In Time Series Analysis: An Overview Of Techniques and Main Issues, CSWA04, Computer Science Annual Research workshop, Malta, September 2004.
    • (2004) CSWA04 Computer Science Annual Research Workshop
    • Camilleri, M.1
  • 3
    • 0036825832 scopus 로고    scopus 로고
    • Local averaging optimization for chaotic time seriesprediction
    • McNames, J.; Local averaging optimization for chaotic time seriesprediction, Neurocomputing, 48, 279-297, 2002.
    • (2002) Neurocomputing , vol.48 , pp. 279-297
    • McNames, J.1
  • 5
    • 0347985152 scopus 로고    scopus 로고
    • Hierarchy, priors and wavelets: Structure and signal modeling using ICA
    • Roberts S., Roussos, E., Choudrey, R.; Hierarchy, priors and wavelets: structure and signal modeling using ICA, Signal Processing, 84: 283-297, 2004.
    • (2004) Signal Processing , vol.84 , pp. 283-297
    • Roberts, S.1    Roussos, E.2    Choudrey, R.3
  • 7
    • 0034559472 scopus 로고    scopus 로고
    • Wavelet transform and neural networks for short-term electrical load
    • Yao, S., Song, Y., Zhang, L., Cheng, X.; Wavelet transform and neural networks for short-term electrical load, Energy Conversion and Management, 41: 1975-1988, 2000.
    • (2000) Energy Conversion and Management , vol.41 , pp. 1975-1988
    • Yao, S.1    Song, Y.2    Zhang, L.3    Cheng, X.4
  • 9
    • 33745194616 scopus 로고    scopus 로고
    • An adaptive learning algorithm for a wavelet neural network
    • Yevgeniy B. Lamonova, M., Vynokurova, O. An adaptive learning algorithm for a wavelet neural network, Expert Systems, V. 22, N. 5, 235-140, 2005.
    • (2005) Expert Systems , vol.22 , Issue.5 , pp. 235-140
    • Yevgeniy, B.1    Lamonova, M.2    Vynokurova, O.3
  • 10
    • 0034301780 scopus 로고    scopus 로고
    • The long term-memory prediction by multi-scale decomposition
    • Soltani, S. Boichu, D. Simar, P. Canu, S.; The long term-memory prediction by multi-scale decomposition, Signal Processing, 80, 2195-2205, 2000.
    • (2000) Signal Processing , vol.80 , pp. 2195-2205
    • Soltani, S.1    Boichu, D.2    Simar, P.3    Canu, S.4
  • 11
    • 0034274660 scopus 로고    scopus 로고
    • Multi-rate, multi-resolution, recursive Kalman Filtering
    • Cristi, R. Tummula, M.; Multi-rate, multi-resolution, recursive Kalman Filtering, Signal Processing, 80, 1945-1958, 2000.
    • (2000) Signal Processing , vol.80 , pp. 1945-1958
    • Cristi, R.1    Tummula, M.2
  • 14
    • 0036187661 scopus 로고    scopus 로고
    • Baseline heart rate may predict hypotension after spinal anesthesia in prehydrated obstetrical patients
    • Frolich A., Caton D., "Baseline heart rate may predict hypotension after spinal anesthesia in prehydrated obstetrical patients", Can J Anaesth, 2002; 49; 185-9.
    • (2002) Can J Anaesth , vol.49 , pp. 185-189
    • Frolich, A.1    Caton, D.2
  • 15
    • 23944441083 scopus 로고    scopus 로고
    • Predictors of hypotension after induction of general anesthesia
    • Reich D., Hossain S., Krol M., "Predictors of hypotension after induction of general anesthesia", Anesth Analg, 2005; 101; 622-8.
    • (2005) Anesth Analg , vol.101 , pp. 622-628
    • Reich, D.1    Hossain, S.2    Krol, M.3
  • 16
    • 33645528407 scopus 로고    scopus 로고
    • Heart rate variability predicts severe hypotension after spinal anesthesia
    • Hanss R., "Heart rate variability predicts severe hypotension after spinal anesthesia", Anesthesiology, 2006; 104; 537-45.
    • (2006) Anesthesiology , vol.104 , pp. 537-545
    • Hanss, R.1
  • 17
    • 62249194865 scopus 로고    scopus 로고
    • Short term variability of oxygen saturation during hemodialysis is a warning parameter for hypotension appearance
    • Mancini L., "Short Term Variability of Oxygen Saturation During Hemodialysis Is a Warning Parameter for Hypotension Appearance", Computers in Cardiology, 2008; 35; 881-883.
    • (2008) Computers in Cardiology , vol.35 , pp. 881-883
    • Mancini, L.1
  • 18
    • 77952687577 scopus 로고    scopus 로고
    • Precursors in the arterial blood pressure signal to episodes of acute hypotension in sepsis
    • Crespo C., "Precursors in the Arterial Blood Pressure Signal to Episodes of Acute Hypotension in Sepsis", Proceedings of the 16th International EURASIP Conference BIOSIGNAL, 2002; 16; 206-8.
    • (2002) Proceedings of the 16th International EURASIP Conference BIOSIGNAL , vol.16 , pp. 206-208
    • Crespo, C.1
  • 19
    • 62249142847 scopus 로고    scopus 로고
    • Similarity-based searching in multi-parameter time series databases
    • Lehman L., Saeed M., Moody G., Mark R., "Similarity-Based Searching in Multi-Parameter Time Series Databases", Computers in Cardiology, 2008; 35; 653-6.
    • (2008) Computers in Cardiology , vol.35 , pp. 653-656
    • Lehman, L.1    Saeed, M.2    Moody, G.3    Mark, R.4
  • 20
    • 77952711381 scopus 로고    scopus 로고
    • Prediction of acute hypotensive episodes using neural network multi-models
    • Henriques, J., Rocha, T.; Prediction of Acute Hypotensive Episodes Using Neural Network Multi-models, Computers in Cardiology, 36, 2009.
    • (2009) Computers in Cardiology , vol.36
    • Henriques, J.1    Rocha, T.2
  • 21
    • 0035390996 scopus 로고    scopus 로고
    • Multi-resolution forecasting for futures trading using wavelet decompositions
    • Zhang, B., Coggins, R.; Multi-resolution forecasting for futures trading using wavelet decompositions. IEEE Transactions on Neural Networks, 12(4):765-775, 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.4 , pp. 765-775
    • Zhang, B.1    Coggins, R.2
  • 23
  • 24
    • 77952730197 scopus 로고    scopus 로고
    • Predicting acute hypotensive episodes: The 10th annual PhysioNet/computers in cardiology challenge
    • Moody G., Lehman L.; Predicting acute hypotensive episodes: the 10th annual PhysioNet/Computers in Cardiology Challenge, Computers in Cardiology, 36, 2009.
    • (2009) Computers in Cardiology , vol.36
    • Moody, G.1    Lehman, L.2
  • 25
    • 78650813513 scopus 로고    scopus 로고
    • MatLab; Mathworks, Inc., 2007
    • MatLab; Mathworks, Inc., 2007
  • 26
    • 22844456607 scopus 로고    scopus 로고
    • The role of occam's razor in knowledge discovery
    • Domingos, P.; The role of occam's razor in knowledge discovery, Data Mining and Knowledge Discovery, 3:409-425, 1999.
    • (1999) Data Mining and Knowledge Discovery , vol.3 , pp. 409-425
    • Domingos, P.1
  • 27
    • 78650832352 scopus 로고    scopus 로고
    • http://heartcycle.med.auth.gr/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.