Software for computerised analysis of cardiotocographic traces (712 views) (PDF restricted 249 views)
Comput Meth Prog Bio (ISSN: 0169-2607), 2016 Feb; 124: 121-137.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 2.503, 5-year impact factor: 2.199
Url: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84954541179&partnerID=40&md5=5fa676a6ae81b9e9a693b758092d5558
Keywords: Computerised Cardiotocography, Fhr Clinical Analysis, Foetal Heart Rate Variability, Matlab, Nonlinear Indices, Software Performance, Fetal Monitoring, Software Testing, Software Reliability, Computer Program, Deceleration, Diagnostic Test Accuracy Study, Doctor Patient Relation, Fetus Heart Rate, Human, Human Experiment, Muscle Contractility, Obstetrician, Predictive Value,
Affiliations:
*** IBB - CNR ***
DMSC, University "Magna Graecia", Catanzaro, Italy., DIETI, University of Naples, "Federico II", Naples, Italy., IBB, Italian National Research Council, Rome, Italy., DIETI, University of Naples, "Federico II", Naples, Italy. Electronic address: cesarell@unina.it.,
DMSC, University Magna Graecia, Catanzaro, Italy
References:
Grivell, R.M., Alfirevic, Z., Gyte, G.M., Devane, D., Antenatal cardiotocography for fetal assessment (2010) Cochrane Database Syst. Rev.,
Goeshen, R., (1998) Cardiotocografia pratica, , V edizione CIC Edizioni Internazionali, Roma
Curran, J.T., (1975) Fetal Heart Monitoring, , Butterworths
Tongsong, T., Iamthongin, A., Wanapirak, C., Piyamongkol, W., Sirichotiyakul, S., Boonyanurak, P., Neelasri, C., Accuracy of fetal heart-rate variability interpretation by obstetricians using the criteria of the National Institute of Child Health and Human Development compared with computer-aided interpretation (2005) J. Obstet. Gynaecol. Res., 31 (1), pp. 68-71
Czabanski, R., Jezewski, J., Matonia, A., Jezewski, M., Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia (2012) Expert Syst. Appl., 39 (15), pp. 11846-11860
Sweha, A., Hacker, T.W., Nuovo, J., Interpretation of the electronic fetal heart rate during labor (1999) Am. Fam. Physician, 59, pp. 2487-2506
Ayres-de-Campos, D., Bernardes, J., Garrido, A., Marques-de-Sa, J., Pereira-Leite, L., SisPorto 2.0: a program for automated analysis of cardiotocograms (2000) J. Matern. Fetal Neonatal Med., 9 (5), pp. 311-318
Mantel, R., Van Geijn, H.P., Ververs, I.A., Colenbrander, G.J., Kostense, P.J., Automated analysis of antepartum fetal heart rate in relation to fetal rest-activity states: a longitudinal study of uncomplicated pregnancies using the Sonicaid System 8000 (1997) Eur. J. Obstetr. Gynecol. Reprod. Biol., 71 (1), pp. 41-51
Donker, D.K., van Geijn, H.P., Hasman, A., Interobserver variation in the assessment of fetal heart rate recordings (1993) Eur. J. Obstetr. Gynecol. Reprod. Biol., 52, pp. 21-28
Bernardes, J., Costa-Pereira, A., Ayres-de-Campos, D., van Geijn, H.P., Pereira-Leite, L., Evaluation of interobserver agreement of cardiotocograms (1997) Int. J. Gynecol. Obstetr., 57, pp. 33-37
Trimbos, J.B., Keirse, M.J.N.C., Observer variability in assessment of antepartum cardiotocograms (1978) BJOG: Int. J. Obstetr. Gynaecol., 85 (12), pp. 900-906
Todros, T., Preve, C.U., Plazzotta, C., Biolcati, M., Lombardo, P., Fetal heart rate tracings: observers versus computer assessment (1996) Eur. J. Obstetr. Gynecol. Reprod. Biol., 68, pp. 83-86
The use of electronic fetal monitoring (2001), The use and interpretation of cardiotocography in intrapartum fetal surveillance. R. Coll. Obstet. Gynaecol. Evidence-based Clinical Guideline Number 8Cesarelli, M., Romano, M., Bifulco, P., Fedele, F., Bracale, M., An algorithm for the recovery of fetal heart rate series from CTG data (2007) Comput. Biol. Med., 37 (5), pp. 663-669
Sartwelle, T.P., Electronic fetal monitoring: a bridge too far (2012) Leg. Med., 33, pp. 313-379. , (Parsons, L.L.P., Houston, TX 77056, USA)
Strachan, B.K., Sahota, D.S., van Wijngaarden, W.J., James, D.K., Chang, M.Z., Computerised analysis of the fetal heart rate and relation to acidaemia at delivery (2001) Br. J. Obstet. Gynaecol., 108 (AUGUST), pp. 848-852
Magenes, G., Signorini, M.G., Ferrario, M., Lunghi, F., 2CTG2: A new system for the antepartum analysis of fetal heart rate (2007) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007, pp. 781-784. , Springer Berlin Heidelberg
Jezewski, J., Wrobel, J., Horoba, K., Matonia, A., Kupka, T., Estimation of beat-to-beat accuracy of fetal heart rate data obtained via Doppler ultrasound (2002) Proceedings of Embec'02 2nd European Medical and Biological Engineering Conference, , II/1536
Al-Yousif, S.N., Ali, M.M., Cardiotocography trace pattern evaluation using MATLAB Program (2011) Proceedings of International Conference on Biomedical Engineering and Technology (ICBET 2011)
Van Leeuwen, P., Cysarz, D., Lange, S., Geue, D., Groenemeyer, D., Quantification of fetal heart rate regularity using symbolic dynamics (2007) Chaos: Interdiscip. J. Nonlinear Sci., 17 (1), p. 015119
Cysarz, D., Van leeuwen, P., Bettermann, H., Irregularities and nonlinearities in fetal heart period time series in the course of pregnancy (2000) Herzschrittmachertherapie und Elektrophysiologie, 11 (3)
Voss, A., Schulz, S., Schroeder, R., Baumert, M., Caminal, P., Methods derived from nonlinear dynamics for analysing heart rate variability (2009) Phil. Trans. R. Soc. A, 367, pp. 277-296
Guzzetti, S., Borroni, E., Garbelli, P.E., Ceriani, E., Della Bella, P., Montano, N., Cogliati, C., Porta, A., Symbolic dynamics of heart rate variability. A probe to investigate cardiac autonomic modulation (2005) Circulation, (JULY)
Romano, M., Faiella, G., Bifulco, P., D'Addio, G., Clemente, F., Cesarelli, M., Outliers detection and processing in CTG monitoring (2014) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pp. 651-654. , Springer International Publishing
Improta, G., Romano, M., Amato, F., Sansone, M., Cesarelli, M., (2012) Development of a software for automatic analysis of CTG recordings. GNB2012, June 26th-29th
Guidelines for the use of fetal monitoring (1986) Gynaecol. Obstetr.
Arduini, D., Rizzo, G., Giannini, F., Garzetti, G.G., Romanini, C., Computerized analysis of fetal heart-rate. 2. Comparison with the interpretation of experts (1993) J. Maternal-Fetal Investig., 3 (3), pp. 165-168
Von Steinburg, S.P., Boulesteix, A.L., Lederer, C., Grunow, S., Schiermeier, S., Hatzmann, W., Daumer, M., What is the normal fetal heart rate? (2013) Peer J., 1, p. e82
Redman, C.W.G., (2003) SonicaidFetalCare. Clinical Application Guide, , Oxford Instruments Medical Ltd
Romano, M., Bracale, M., Cesarelli, M., Campanile, M., Bifulco, P., De Falco, M., Di Lieto, A., Antepartum cardiotocography: a study of fetal reactivity in frequency domain (2006) Comput. Biol. Med., 36 (6), pp. 619-633
Karin, J., Hirsch, M., Sagiv, C., Akselrod, S., Fetal autonomic nervous system activity monitoring by spectral analysis of heart rate variations (1992) Proceedings of Computers in Cardiology 1992, pp. 479-482
Romano, M., Cesarelli, M., Bifulco, P., Ruffo, M., Fratini, A., Pasquariello, G., Time-frequency analysis of CTG signals (2009) Curr. Dev. Theory Appl. Wavelets, 3 (2), pp. 169-192
Oppenheimer, L.W., Lewinsky, R.M., 7 Power spectral analysis of fetal heart rate (1994) Baillière's Clin. Obstetr. Gynaecol., 8 (3), pp. 643-661
Cerutti, S., Civardi, S., Bianchi, A., Signorini, M.G., Ferrazzi, E., Pardi, G., Spectral analysis of antepartum heart rate variability (1989) Clin. Phys. Physiol. Meas., 10 (4 B), p. 27
Groome, L.J., Mooney, D.M., Bentz, L.S., Singh, K.P., Spectral analysis of heart rate variability during quiet sleep in normal human fetuses between 36 and 40 weeks of gestation (1994) Early Hum. Dev., 38 (1), pp. 1-9
Signorini, M.G., Magenes, G., Cerutti, S., Arduini, D., Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings (2003) IEEE Trans. Biomed. Eng., 50 (3), pp. 365-374
Laguna, P., Moody, G.B., Mark, R.G., Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals (1998) IEEE Trans. Biomed. Eng., 45 (6), pp. 698-715
Lomb, N.R., Least-squares frequency analysis of unequally spaced data (1976) Astrophys. Space Sci., 39 (2), pp. 447-462
Scargle, J.D., Studies in astronomical time series analysis. II-Statistical aspects of spectral analysis of unevenly spaced data (1982) Astrophys. J., 263, pp. 835-853
Flannery, B.P., Press, W.H., Teukolsky, S.A., Vetterling, W., (1992) Numerical Recipes in C, , Press Syndicate of the University of Cambridge, New York
Porta, A., D'Addio, G., Pinna, G.D., Maestri, R., Gnecchi-Ruscone, T., Furlan, R., Malliani, A., Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients (2005) Comput. Cardiol., pp. 575-578. , (IEEE)
Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Wessel, N., Saparin, P., Dietz, R., The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death (1996) Cardiovasc. Res., 31 (3), pp. 419-433
Parer, J.T., Hamilton, E.F., Comparison of 5 experts and computer analysis in rule-based fetal heart rate interpretation (2010) Am. J. Obstet. Gynecol., 203 (5), pp. 451-461
Mongelli, M., Dawkins, R., Chung, T., Sahota, D., Spencer, J.A., Chang, A.M., Computerised estimation of the baseline fetal heart rate in labour: the low frequency line (1997) BJOG: Int. J. Obstetr. Gynaecol., 104 (10), pp. 1128-1133
Kottner, J., Audigé, L., Brorson, S., Donner, A., Gajewski, B.J., Hrobjartsson, A., Roberts, C., Streiner, D.L., Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed (2011) J. Clin. Epidemiol., 64, pp. 96-106
Zhu, T., Johnson, A.E.W., Behar, J., Clifford, G.D., Bayesian voting of multiple annotators for improved QT interval estimation (2013) Computing in Cardiology Conference (CinC), pp. 659-662. , FE
Spilka, J., Chudácek, V., Janku, P., Hruban, L., Burša, M., Huptych, M., Zach, L., Lhotská, L., Analysis of obstetricians' decision making on CTG recordings (2014) J. Biomed. Inform., , (Published online: 15.04.14)
Pardey, J., Mouldenb, M., Redman, C.W., A computer system for the numerical analysis of nonstress tests (2002) Am. J. Obstet. Gynecol., 186 (5), pp. 1095-1103
Tarvainen, M.P., Niskanen, J.P., Lipponen, J.A., Ranta-Aho, P.O., Karjalainen, P.A., Kubios HRV - heart rate variability analysis software (2014) Comput. Methods Prog. Biomed., 113 (1), pp. 210-220
Clifford, G.D., Tarassenko, L., Quantifying errors in spectral estimates of HRV due to beat replacement and resampling (2005) IEEE Trans. Biomed. Eng., 52 (APRIL 4)
Goncalves, H., Rocha, A.P., Ayres-De-Campos, D., Bernardes, J., Internal versus external intrapartum foetal heart rate monitoring: the effect on linear and nonlinear parameters (2006) Physiol. Meas., 27, pp. 307-319
Georgieva, A., Payne, S.J., Moulden, M., Redman, C.W., Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline (2011) Physiol. Meas., 32 (10), p. 1549
Kazandi, M., Sendag, F., Akercan, F., Terek, M.C., Gundem, G., Different types of variable decelerations and their effects to neonatal outcome (2003) Singapore Med. J., 44 (5), pp. 243-247
Chuang, J., Chou, C.T., Cheng, W.C., Huang, L.W., Hwang, J.L., Tsai, Y.L., Spontaneous fetal heart rate deceleration: an ominous sign for fetal outcome (2004) Arch. Gynecol. Obstet., 269 (4), pp. 254-258
Schiermeier, S., Pildner von Steinburg, A., Thieme, J., Reinhard, M., Daumer, M., Scholz, W., Hatzmann, K.T.M., Schneider, Sensitivity and specificity of intrapartum computerised FIGO criteria for cardiotocography and fetal scalp pH during labour: multicentre, observational study. RCOG 2008 (2008) BJOG: Int. J. Obstetr. Gynaecol., pp. 1557-1563
Comput Meth Prog Bio (ISSN: 0169-2607), 2016 Feb; 124: 121-137.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 2.503, 5-year impact factor: 2.199
Url: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84954541179&partnerID=40&md5=5fa676a6ae81b9e9a693b758092d5558
Keywords: Computerised Cardiotocography, Fhr Clinical Analysis, Foetal Heart Rate Variability, Matlab, Nonlinear Indices, Software Performance, Fetal Monitoring, Software Testing, Software Reliability, Computer Program, Deceleration, Diagnostic Test Accuracy Study, Doctor Patient Relation, Fetus Heart Rate, Human, Human Experiment, Muscle Contractility, Obstetrician, Predictive Value,
Affiliations:
*** IBB - CNR ***
DMSC, University "Magna Graecia", Catanzaro, Italy., DIETI, University of Naples, "Federico II", Naples, Italy., IBB, Italian National Research Council, Rome, Italy., DIETI, University of Naples, "Federico II", Naples, Italy. Electronic address: cesarell@unina.it.,
DMSC, University Magna Graecia, Catanzaro, Italy
References:
Grivell, R.M., Alfirevic, Z., Gyte, G.M., Devane, D., Antenatal cardiotocography for fetal assessment (2010) Cochrane Database Syst. Rev.,
Goeshen, R., (1998) Cardiotocografia pratica, , V edizione CIC Edizioni Internazionali, Roma
Curran, J.T., (1975) Fetal Heart Monitoring, , Butterworths
Tongsong, T., Iamthongin, A., Wanapirak, C., Piyamongkol, W., Sirichotiyakul, S., Boonyanurak, P., Neelasri, C., Accuracy of fetal heart-rate variability interpretation by obstetricians using the criteria of the National Institute of Child Health and Human Development compared with computer-aided interpretation (2005) J. Obstet. Gynaecol. Res., 31 (1), pp. 68-71
Czabanski, R., Jezewski, J., Matonia, A., Jezewski, M., Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia (2012) Expert Syst. Appl., 39 (15), pp. 11846-11860
Sweha, A., Hacker, T.W., Nuovo, J., Interpretation of the electronic fetal heart rate during labor (1999) Am. Fam. Physician, 59, pp. 2487-2506
Ayres-de-Campos, D., Bernardes, J., Garrido, A., Marques-de-Sa, J., Pereira-Leite, L., SisPorto 2.0: a program for automated analysis of cardiotocograms (2000) J. Matern. Fetal Neonatal Med., 9 (5), pp. 311-318
Mantel, R., Van Geijn, H.P., Ververs, I.A., Colenbrander, G.J., Kostense, P.J., Automated analysis of antepartum fetal heart rate in relation to fetal rest-activity states: a longitudinal study of uncomplicated pregnancies using the Sonicaid System 8000 (1997) Eur. J. Obstetr. Gynecol. Reprod. Biol., 71 (1), pp. 41-51
Donker, D.K., van Geijn, H.P., Hasman, A., Interobserver variation in the assessment of fetal heart rate recordings (1993) Eur. J. Obstetr. Gynecol. Reprod. Biol., 52, pp. 21-28
Bernardes, J., Costa-Pereira, A., Ayres-de-Campos, D., van Geijn, H.P., Pereira-Leite, L., Evaluation of interobserver agreement of cardiotocograms (1997) Int. J. Gynecol. Obstetr., 57, pp. 33-37
Trimbos, J.B., Keirse, M.J.N.C., Observer variability in assessment of antepartum cardiotocograms (1978) BJOG: Int. J. Obstetr. Gynaecol., 85 (12), pp. 900-906
Todros, T., Preve, C.U., Plazzotta, C., Biolcati, M., Lombardo, P., Fetal heart rate tracings: observers versus computer assessment (1996) Eur. J. Obstetr. Gynecol. Reprod. Biol., 68, pp. 83-86
The use of electronic fetal monitoring (2001), The use and interpretation of cardiotocography in intrapartum fetal surveillance. R. Coll. Obstet. Gynaecol. Evidence-based Clinical Guideline Number 8Cesarelli, M., Romano, M., Bifulco, P., Fedele, F., Bracale, M., An algorithm for the recovery of fetal heart rate series from CTG data (2007) Comput. Biol. Med., 37 (5), pp. 663-669
Sartwelle, T.P., Electronic fetal monitoring: a bridge too far (2012) Leg. Med., 33, pp. 313-379. , (Parsons, L.L.P., Houston, TX 77056, USA)
Strachan, B.K., Sahota, D.S., van Wijngaarden, W.J., James, D.K., Chang, M.Z., Computerised analysis of the fetal heart rate and relation to acidaemia at delivery (2001) Br. J. Obstet. Gynaecol., 108 (AUGUST), pp. 848-852
Magenes, G., Signorini, M.G., Ferrario, M., Lunghi, F., 2CTG2: A new system for the antepartum analysis of fetal heart rate (2007) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007, pp. 781-784. , Springer Berlin Heidelberg
Jezewski, J., Wrobel, J., Horoba, K., Matonia, A., Kupka, T., Estimation of beat-to-beat accuracy of fetal heart rate data obtained via Doppler ultrasound (2002) Proceedings of Embec'02 2nd European Medical and Biological Engineering Conference, , II/1536
Al-Yousif, S.N., Ali, M.M., Cardiotocography trace pattern evaluation using MATLAB Program (2011) Proceedings of International Conference on Biomedical Engineering and Technology (ICBET 2011)
Van Leeuwen, P., Cysarz, D., Lange, S., Geue, D., Groenemeyer, D., Quantification of fetal heart rate regularity using symbolic dynamics (2007) Chaos: Interdiscip. J. Nonlinear Sci., 17 (1), p. 015119
Cysarz, D., Van leeuwen, P., Bettermann, H., Irregularities and nonlinearities in fetal heart period time series in the course of pregnancy (2000) Herzschrittmachertherapie und Elektrophysiologie, 11 (3)
Voss, A., Schulz, S., Schroeder, R., Baumert, M., Caminal, P., Methods derived from nonlinear dynamics for analysing heart rate variability (2009) Phil. Trans. R. Soc. A, 367, pp. 277-296
Guzzetti, S., Borroni, E., Garbelli, P.E., Ceriani, E., Della Bella, P., Montano, N., Cogliati, C., Porta, A., Symbolic dynamics of heart rate variability. A probe to investigate cardiac autonomic modulation (2005) Circulation, (JULY)
Romano, M., Faiella, G., Bifulco, P., D'Addio, G., Clemente, F., Cesarelli, M., Outliers detection and processing in CTG monitoring (2014) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pp. 651-654. , Springer International Publishing
Improta, G., Romano, M., Amato, F., Sansone, M., Cesarelli, M., (2012) Development of a software for automatic analysis of CTG recordings. GNB2012, June 26th-29th
Guidelines for the use of fetal monitoring (1986) Gynaecol. Obstetr.
Arduini, D., Rizzo, G., Giannini, F., Garzetti, G.G., Romanini, C., Computerized analysis of fetal heart-rate. 2. Comparison with the interpretation of experts (1993) J. Maternal-Fetal Investig., 3 (3), pp. 165-168
Von Steinburg, S.P., Boulesteix, A.L., Lederer, C., Grunow, S., Schiermeier, S., Hatzmann, W., Daumer, M., What is the normal fetal heart rate? (2013) Peer J., 1, p. e82
Redman, C.W.G., (2003) SonicaidFetalCare. Clinical Application Guide, , Oxford Instruments Medical Ltd
Romano, M., Bracale, M., Cesarelli, M., Campanile, M., Bifulco, P., De Falco, M., Di Lieto, A., Antepartum cardiotocography: a study of fetal reactivity in frequency domain (2006) Comput. Biol. Med., 36 (6), pp. 619-633
Karin, J., Hirsch, M., Sagiv, C., Akselrod, S., Fetal autonomic nervous system activity monitoring by spectral analysis of heart rate variations (1992) Proceedings of Computers in Cardiology 1992, pp. 479-482
Romano, M., Cesarelli, M., Bifulco, P., Ruffo, M., Fratini, A., Pasquariello, G., Time-frequency analysis of CTG signals (2009) Curr. Dev. Theory Appl. Wavelets, 3 (2), pp. 169-192
Oppenheimer, L.W., Lewinsky, R.M., 7 Power spectral analysis of fetal heart rate (1994) Baillière's Clin. Obstetr. Gynaecol., 8 (3), pp. 643-661
Cerutti, S., Civardi, S., Bianchi, A., Signorini, M.G., Ferrazzi, E., Pardi, G., Spectral analysis of antepartum heart rate variability (1989) Clin. Phys. Physiol. Meas., 10 (4 B), p. 27
Groome, L.J., Mooney, D.M., Bentz, L.S., Singh, K.P., Spectral analysis of heart rate variability during quiet sleep in normal human fetuses between 36 and 40 weeks of gestation (1994) Early Hum. Dev., 38 (1), pp. 1-9
Signorini, M.G., Magenes, G., Cerutti, S., Arduini, D., Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings (2003) IEEE Trans. Biomed. Eng., 50 (3), pp. 365-374
Laguna, P., Moody, G.B., Mark, R.G., Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals (1998) IEEE Trans. Biomed. Eng., 45 (6), pp. 698-715
Lomb, N.R., Least-squares frequency analysis of unequally spaced data (1976) Astrophys. Space Sci., 39 (2), pp. 447-462
Scargle, J.D., Studies in astronomical time series analysis. II-Statistical aspects of spectral analysis of unevenly spaced data (1982) Astrophys. J., 263, pp. 835-853
Flannery, B.P., Press, W.H., Teukolsky, S.A., Vetterling, W., (1992) Numerical Recipes in C, , Press Syndicate of the University of Cambridge, New York
Porta, A., D'Addio, G., Pinna, G.D., Maestri, R., Gnecchi-Ruscone, T., Furlan, R., Malliani, A., Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients (2005) Comput. Cardiol., pp. 575-578. , (IEEE)
Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Wessel, N., Saparin, P., Dietz, R., The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death (1996) Cardiovasc. Res., 31 (3), pp. 419-433
Parer, J.T., Hamilton, E.F., Comparison of 5 experts and computer analysis in rule-based fetal heart rate interpretation (2010) Am. J. Obstet. Gynecol., 203 (5), pp. 451-461
Mongelli, M., Dawkins, R., Chung, T., Sahota, D., Spencer, J.A., Chang, A.M., Computerised estimation of the baseline fetal heart rate in labour: the low frequency line (1997) BJOG: Int. J. Obstetr. Gynaecol., 104 (10), pp. 1128-1133
Kottner, J., Audigé, L., Brorson, S., Donner, A., Gajewski, B.J., Hrobjartsson, A., Roberts, C., Streiner, D.L., Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed (2011) J. Clin. Epidemiol., 64, pp. 96-106
Zhu, T., Johnson, A.E.W., Behar, J., Clifford, G.D., Bayesian voting of multiple annotators for improved QT interval estimation (2013) Computing in Cardiology Conference (CinC), pp. 659-662. , FE
Spilka, J., Chudácek, V., Janku, P., Hruban, L., Burša, M., Huptych, M., Zach, L., Lhotská, L., Analysis of obstetricians' decision making on CTG recordings (2014) J. Biomed. Inform., , (Published online: 15.04.14)
Pardey, J., Mouldenb, M., Redman, C.W., A computer system for the numerical analysis of nonstress tests (2002) Am. J. Obstet. Gynecol., 186 (5), pp. 1095-1103
Tarvainen, M.P., Niskanen, J.P., Lipponen, J.A., Ranta-Aho, P.O., Karjalainen, P.A., Kubios HRV - heart rate variability analysis software (2014) Comput. Methods Prog. Biomed., 113 (1), pp. 210-220
Clifford, G.D., Tarassenko, L., Quantifying errors in spectral estimates of HRV due to beat replacement and resampling (2005) IEEE Trans. Biomed. Eng., 52 (APRIL 4)
Goncalves, H., Rocha, A.P., Ayres-De-Campos, D., Bernardes, J., Internal versus external intrapartum foetal heart rate monitoring: the effect on linear and nonlinear parameters (2006) Physiol. Meas., 27, pp. 307-319
Georgieva, A., Payne, S.J., Moulden, M., Redman, C.W., Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline (2011) Physiol. Meas., 32 (10), p. 1549
Kazandi, M., Sendag, F., Akercan, F., Terek, M.C., Gundem, G., Different types of variable decelerations and their effects to neonatal outcome (2003) Singapore Med. J., 44 (5), pp. 243-247
Chuang, J., Chou, C.T., Cheng, W.C., Huang, L.W., Hwang, J.L., Tsai, Y.L., Spontaneous fetal heart rate deceleration: an ominous sign for fetal outcome (2004) Arch. Gynecol. Obstet., 269 (4), pp. 254-258
Schiermeier, S., Pildner von Steinburg, A., Thieme, J., Reinhard, M., Daumer, M., Scholz, W., Hatzmann, K.T.M., Schneider, Sensitivity and specificity of intrapartum computerised FIGO criteria for cardiotocography and fetal scalp pH during labour: multicentre, observational study. RCOG 2008 (2008) BJOG: Int. J. Obstetr. Gynaecol., pp. 1557-1563
Software for computerised analysis of cardiotocographic traces
Despite the widespread use of cardiotocography in foetal monitoring, the evaluation of foetal status suffers from a considerable inter and intra-observer variability. In order to overcome the main limitations of visual cardiotocographic assessment, computerised methods to analyse cardiotocographic recordings have been recently developed. In this study, a new software for automated analysis of foetal heart rate is presented. It allows an automatic procedure for measuring the most relevant parameters derivable from cardiotocographic traces. Simulated and real cardiotocographic traces were analysed to test software reliability. In artificial traces, we simulated a set number of events (accelerations, decelerations and contractions) to be recognised. In the case of real signals, instead, results of the computerised analysis were compared with the visual assessment performed by 18 expert clinicians and three performance indexes were computed to gain information about performances of the proposed software. The software showed preliminary performance we judged satisfactory in that the results matched completely the requirements, as proved by tests on artificial signals in which all simulated events were detected from the software. Performance indexes computed in comparison with obstetricians' evaluations are, on the contrary, not so satisfactory; in fact they led to obtain the following values of the statistical parameters: sensitivity equal to 93%, positive predictive value equal to 82% and accuracy equal to 77%. Very probably this arises from the high variability of trace annotation carried out by clinicians. © 2015 Elsevier Ireland Ltd.
Despite the widespread use of cardiotocography in foetal monitoring, the evaluation of foetal status suffers from a considerable inter and intra-observer variability. In order to overcome the main limitations of visual cardiotocographic assessment, computerised methods to analyse cardiotocographic recordings have been recently developed. In this study, a new software for automated analysis of foetal heart rate is presented. It allows an automatic procedure for measuring the most relevant parameters derivable from cardiotocographic traces. Simulated and real cardiotocographic traces were analysed to test software reliability. In artificial traces, we simulated a set number of events (accelerations, decelerations and contractions) to be recognised. In the case of real signals, instead, results of the computerised analysis were compared with the visual assessment performed by 18 expert clinicians and three performance indexes were computed to gain information about performances of the proposed software. The software showed preliminary performance we judged satisfactory in that the results matched completely the requirements, as proved by tests on artificial signals in which all simulated events were detected from the software. Performance indexes computed in comparison with obstetricians' evaluations are, on the contrary, not so satisfactory; in fact they led to obtain the following values of the statistical parameters: sensitivity equal to 93%, positive predictive value equal to 82% and accuracy equal to 77%. Very probably this arises from the high variability of trace annotation carried out by clinicians. © 2015 Elsevier Ireland Ltd.
Software for computerised analysis of cardiotocographic traces
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Software for computerised analysis of cardiotocographic traces
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RomanoM, Faiella G, Clemente F, Iuppariello L, Bifulco P, Cesarelli M
* Analysis of Foetal Heart Rate Variability Components by Means of Empirical Mode Decomposition (243 views)
Ifmbe Proceedings, 2016 Sep; 57: 71-74.
Impact Factor: 1.757
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Maestri R, Pinna G, Accardo A, Allegrini P, Balocchi R, D'ADDIO G, Ferrario M, Menicucci D, Porta A, Sassi R
* Nonlinear indices of heart rate variability in chronic heart failure patients: Redundancy and comparative clinical value (361 views)
J Cardiovasc Electrophysiol (ISSN: 1045-3873), 2007; 18(4): 425-433.
Impact Factor: 3.475
View Export to BibTeX Export to EndNote
* Analysis of Foetal Heart Rate Variability Components by Means of Empirical Mode Decomposition (243 views)
Ifmbe Proceedings, 2016 Sep; 57: 71-74.
Impact Factor: 1.757
View Export to BibTeX Export to EndNote
Maestri R, Pinna G, Accardo A, Allegrini P, Balocchi R, D'ADDIO G, Ferrario M, Menicucci D, Porta A, Sassi R
* Nonlinear indices of heart rate variability in chronic heart failure patients: Redundancy and comparative clinical value (361 views)
J Cardiovasc Electrophysiol (ISSN: 1045-3873), 2007; 18(4): 425-433.
Impact Factor: 3.475
View Export to BibTeX Export to EndNote
2 Records (2 excluding Abstracts).
Total impact factor: 5.232 (5.232 excluding Abstracts).
Total 5 year impact factor: 3.246 (3.246 excluding Abstracts).
Total impact factor: 5.232 (5.232 excluding Abstracts).
Total 5 year impact factor: 3.246 (3.246 excluding Abstracts).
712 views. Last view on Saturday 14 January 2023, 18:09:52
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