메뉴 건너뛰기




Volumn 32, Issue 8, 2010, Pages 829-839

Heart rate based automatic seizure detection in the newborn

Author keywords

Automatic; Heart rate; Newborn; Patient independent; Seizure detection; SVM

Indexed keywords

AUTOMATIC; HEART RATE; NEWBORN; PATIENT-INDEPENDENT; SEIZURE DETECTION; SVM;

EID: 77956415572     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2010.05.010     Document Type: Article
Times cited : (44)

References (38)
  • 1
    • 33745543980 scopus 로고    scopus 로고
    • Summary proceedings from the neurology group on neonatal seizures
    • Clancy R. Summary proceedings from the neurology group on neonatal seizures. Pediatrics 2006, 117:23-27.
    • (2006) Pediatrics , vol.117 , pp. 23-27
    • Clancy, R.1
  • 2
    • 0031014963 scopus 로고    scopus 로고
    • Neonatal seizures
    • Rennie J. Neonatal seizures. Eur J Pediatr 1997, 156:83-87.
    • (1997) Eur J Pediatr , vol.156 , pp. 83-87
    • Rennie, J.1
  • 3
    • 59749103891 scopus 로고    scopus 로고
    • Neonatal seizures: Do they damage the brain?
    • Thibeault-Eybalin M., Lortie A., Carmant L. Neonatal seizures: Do they damage the brain?. Ped Neurol 2009, 40(3):175-180.
    • (2009) Ped Neurol , vol.40 , Issue.3 , pp. 175-180
    • Thibeault-Eybalin, M.1    Lortie, A.2    Carmant, L.3
  • 4
    • 21344432165 scopus 로고    scopus 로고
    • Effect of seizures on brain development: Lessons from the laboratory
    • Holmes G.L. Effect of seizures on brain development: Lessons from the laboratory. Ped Neurol 2005, 33:1-11.
    • (2005) Ped Neurol , vol.33 , pp. 1-11
    • Holmes, G.L.1
  • 5
    • 44049097334 scopus 로고    scopus 로고
    • Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures
    • Murray D., Boylan G., Ali I., Ryan C., Murphy B., Connolly S. Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures. Arch Dis Child Fetal Neonatal Ed 2008, 93:F187-F191.
    • (2008) Arch Dis Child Fetal Neonatal Ed , vol.93
    • Murray, D.1    Boylan, G.2    Ali, I.3    Ryan, C.4    Murphy, B.5    Connolly, S.6
  • 7
    • 20444396857 scopus 로고    scopus 로고
    • Evaluation of automated seizure detection algorithms in neonates
    • Faul S., Boylan G., Marnane L., Lightbody G., Connolly S. Evaluation of automated seizure detection algorithms in neonates. Clin Neurophysiol 2005, 118(5):1533-1541.
    • (2005) Clin Neurophysiol , vol.118 , Issue.5 , pp. 1533-1541
    • Faul, S.1    Boylan, G.2    Marnane, L.3    Lightbody, G.4    Connolly, S.5
  • 9
    • 36549062615 scopus 로고    scopus 로고
    • A multistage knowledge-based system for eeg seizure detection system in newborn infants
    • Aarabi A., Reinhard G., Fabrice W. A multistage knowledge-based system for eeg seizure detection system in newborn infants. Clin Neurophysiol 2007, 118:2781-2797.
    • (2007) Clin Neurophysiol , vol.118 , pp. 2781-2797
    • Aarabi, A.1    Reinhard, G.2    Fabrice, W.3
  • 12
    • 34247210831 scopus 로고    scopus 로고
    • Time-frequency analysis of heart rate variabililty for neonatal seizure detection
    • [Article ID 50396, 10 pages]
    • Malarvili M., Mesbah M., Boashash B. Time-frequency analysis of heart rate variabililty for neonatal seizure detection. EURASIP J Adv Signal Process 2007, [Article ID 50396, 10 pages].
    • (2007) EURASIP J Adv Signal Process
    • Malarvili, M.1    Mesbah, M.2    Boashash, B.3
  • 15
    • 70449378583 scopus 로고    scopus 로고
    • Newborn seizure detection based on heart rate variability
    • November 11
    • Malarvili M., Mesbah M. Newborn seizure detection based on heart rate variability. IEEE Trans Biomed Eng 2009, 56(November 11):2594-2603.
    • (2009) IEEE Trans Biomed Eng , vol.56 , pp. 2594-2603
    • Malarvili, M.1    Mesbah, M.2
  • 17
    • 0022929617 scopus 로고
    • Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database
    • Hamilton P., Tompkins W. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng 1986, 33:1157-1165.
    • (1986) IEEE Trans Biomed Eng , vol.33 , pp. 1157-1165
    • Hamilton, P.1    Tompkins, W.2
  • 18
    • 70349784017 scopus 로고    scopus 로고
    • Heart rate variability during sleep in healthy term newborns in the early postnatal period
    • Doyle O., Korotchikova I., Lightbody G., Marnane W., Kerins D., Boylan G. Heart rate variability during sleep in healthy term newborns in the early postnatal period. Physiol Meas 2009, 30:847-860.
    • (2009) Physiol Meas , vol.30 , pp. 847-860
    • Doyle, O.1    Korotchikova, I.2    Lightbody, G.3    Marnane, W.4    Kerins, D.5    Boylan, G.6
  • 19
    • 0022772743 scopus 로고
    • An efficient algorithm for spectral analysis of heart rate variability
    • Berger R., Askelrod S., Gordon D., Cohen R. An efficient algorithm for spectral analysis of heart rate variability. IEEE Trans Biomed Eng 1986, 33:900-904.
    • (1986) IEEE Trans Biomed Eng , vol.33 , pp. 900-904
    • Berger, R.1    Askelrod, S.2    Gordon, D.3    Cohen, R.4
  • 20
    • 0032101304 scopus 로고    scopus 로고
    • Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals
    • Laguna P., Moody G., Mark R. Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals. IEEE Trans Biomed Eng 1998, 45(6):698-715.
    • (1998) IEEE Trans Biomed Eng , vol.45 , Issue.6 , pp. 698-715
    • Laguna, P.1    Moody, G.2    Mark, R.3
  • 22
    • 0038274521 scopus 로고    scopus 로고
    • Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
    • June
    • de Chazal P., Heneghan C., Sheridan E., Reilly R., Nolan P., O'Malley M. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea. IEEE Trans Biomed Eng June 2003, 50(6):686-696.
    • (2003) IEEE Trans Biomed Eng , vol.50 , Issue.6 , pp. 686-696
    • de Chazal, P.1    Heneghan, C.2    Sheridan, E.3    Reilly, R.4    Nolan, P.5    O'Malley, M.6
  • 23
    • 0031035731 scopus 로고    scopus 로고
    • A new method of assessing caridac autonomic function and its comparison with spectral analysis and coefficient of variation of RR interval
    • Toichi M., Sugiura T., Murai T., Sengoku A. A new method of assessing caridac autonomic function and its comparison with spectral analysis and coefficient of variation of RR interval. J Auton Nerv Syst 1997, 62:79-84.
    • (1997) J Auton Nerv Syst , vol.62 , pp. 79-84
    • Toichi, M.1    Sugiura, T.2    Murai, T.3    Sengoku, A.4
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C. A tutorial on support vector machines for pattern recognition. Data Min Knowledge Disc 1998, 2:121-167.
    • (1998) Data Min Knowledge Disc , vol.2 , pp. 121-167
    • Burges, C.1
  • 30
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I., Weston J., Barnhill S., Vapnik V. Gene selection for cancer classification using support vector machines. Mach Learn 2002, 46:389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 31
    • 74549122346 scopus 로고    scopus 로고
    • Feature ranking using linear svm
    • Chang Y., Lin C. Feature ranking using linear svm. JLMR W&CP 2008, 3:53-64.
    • (2008) JLMR W&CP , vol.3 , pp. 53-64
    • Chang, Y.1    Lin, C.2
  • 32
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs from SVM and comparison to regularized likelihood methods
    • Platt J. Probabilistic outputs from SVM and comparison to regularized likelihood methods. Adv Large Margin Classifiers 1999, 61-74.
    • (1999) Adv Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 33
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • Keerthi S.S., Lin C-J. Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Comput 2003, 15(7):1667-1689.
    • (2003) Neural Comput , vol.15 , Issue.7 , pp. 1667-1689
    • Keerthi, S.S.1    Lin, C.-J.2
  • 36
    • 0036337999 scopus 로고    scopus 로고
    • Heart rate changes and ECG abnormalities during epileptic seizures: prevalence and definition of an objective clinical sign
    • Zijlmans M., Flannagan D., Gotman J. Heart rate changes and ECG abnormalities during epileptic seizures: prevalence and definition of an objective clinical sign. Epilepsia 2002, 43:847-854.
    • (2002) Epilepsia , vol.43 , pp. 847-854
    • Zijlmans, M.1    Flannagan, D.2    Gotman, J.3
  • 37
    • 33746886637 scopus 로고    scopus 로고
    • A model of heart rate changes to detect seizures in severe epilepsy
    • van Elmpt W., Nijsen T., Griep P., Arends J. A model of heart rate changes to detect seizures in severe epilepsy. Seizure 2006, 15:366-375.
    • (2006) Seizure , vol.15 , pp. 366-375
    • van Elmpt, W.1    Nijsen, T.2    Griep, P.3    Arends, J.4
  • 38
    • 33845962474 scopus 로고    scopus 로고
    • Heart rate changes are insensitive for detecting postaspyxial seizures in neonates
    • Cherian P., Blok J., Swarte R., Govaert P., Visser G. Heart rate changes are insensitive for detecting postaspyxial seizures in neonates. Neurology 2006, 67:2221-2223.
    • (2006) Neurology , vol.67 , pp. 2221-2223
    • Cherian, P.1    Blok, J.2    Swarte, R.3    Govaert, P.4    Visser, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.