137
Views
3
CrossRef citations to date
0
Altmetric
Research Article

RPCA-based detection and quantification of motion artifacts in ECG signals

, , &
Pages 56-60 | Received 24 May 2012, Accepted 05 Sep 2012, Published online: 08 Dec 2012

References

  • Pawar, T., Anantakrishnan, N.S., Chaudhuri, S., Duttagupta, S.P., 2007, Transition detection in body movement activities for wearable ECG. IEEE Transactions on Biomedical Engineering, 54, 1149–1152.
  • Pawar, T., Chaudhuri, S., Duttagupta, S.P., 2007, Body movement activity recognition for ambulatory cardiac monitoring. IEEE Transactions on Biomedical Engineering, 54, 874–882.
  • Pawar, T., Anantakrishnan, N.S., Chaudhuri, S., Duttagupta, S.P., 2007, Impact analysis of body movement in ambulatory ECG. In 29th IEEE EMBC, Aug. 2007, pp. 5453–5456, Lyon, France.
  • Pawar, T., Chaudhuri, S., Duttagupta, S.P., 2006, Analysis of ambulatory ECG signal. In 28th IEEE EMBC, Aug. 2006–Sept. 2006, pp. 3094–3097, New York City, New York.
  • Chaudhuri, S., Pawar, T., Duttagupta, S., 2009, Ambulation analysis in wearable ECG (New York, USA: Springer), (ISBN: 978-1-4419-0723-3).
  • Afonso, V.X., Tompkins, W.J., Nguyen, T.Q., Michler, K., 1996, Comparing stress ECG enhancement algorithms with an introduction to a filter bank based approach. IEEE Engineering in Medicine and Biology Magazine, 15(3), 37–44.
  • Nimbargi, V.S., Gadre, V.M., Mukherji, S., 2005, Characterization of ECG motion artifacts using wavelet transform and neural networks. In: Indian Conference on Medical Informatics and Telemedicine, Kharagpur, West Bengal, India.
  • Jager, F., Moody, G.B., Mark, R.G., 1998, Detection of transient ST segment episodes during ambulatory ECG monitoring. Computers and Biomedical Research, 31, 305–322.
  • Astrom, M., Garcia, J., Laguna, P., Sornmo, L., 2000, ECG based detection of body position changes. Signal Processing Report, SPR-48, 1–34.
  • Garcia, J., Astrom, M., Mendive, J., Laguna, P., Sornmo, L., 2003, ECG based detection of body position changes in ischemia monitoring. IEEE Transactions on Biomedical Engineering, 50, 677–685.
  • Ming, L., Rozgic, V., Thatte, G., Sangwon, L., Emken, A., Annavaram, M., Mitra, U., Spruijt-Metz, D., Narayanan, S., Li, M., et al., 2010, Multimodal physical activity recognition by fusing temporal and cepstral information. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18, 369–380.
  • Alcaraz, R., Sandberg, F., S¨ornmo, L., Rieta, J.J., 2011, Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings. IEEE Transactions on Biomedical Engineering, 58, 1441–1449.
  • Khandoker, A.H., Palaniswami, M., Karmakar, C.K., 2009, Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings. IEEE Transactions on Information Technology in Biomedicine, 13, 37–48.
  • Shih, D.-H., Chiang, H.-S., Lin, B., Lin, S.-B., 2010, An embedded mobile ECG reasoning system for elderly patients. IEEE Transactions on Information Technology in Biomedicine, 14, 854–865.
  • Kim, H., Yazicioglu, R.F., Merken, P., Van Hoof, C., Yoo, H.-J., 2010, ECG signal compression and classification algorithm with quad level vector for ECG holter system. IEEE Transactions on Information Technology in Biomedicine, 14, 93–100.
  • Curone, D., Tognetti, A., Secco, E.L., Anania, G., Carbonaro, N., De Rossi, D., Magenes, G., 2010, Heart rate and accelerometer data fusion for activity assessment of rescuers during emergency interventions. IEEE Transactions on Information Technology in Biomedicine, 14, 702–710.
  • Faezipour, M., Saeed, A., Bulusu, S.C., Nourani, M., Minn, H., Tamil, L., 2010, A patient-adaptive profiling scheme for ECG beat classification. IEEE Transactions on Information Technology in Biomedicine, 14, 1153–1165.
  • Boyle, J., Bidargaddi, N., Sarela, A., Karunanithi, M., 2009, Automatic detection of respiration rate from ambulatory single-lead ECG. IEEE Transactions on Information Technology in Biomedicine, 13, 890–896.
  • Lin, C.-T., Chang, K.-C., Lin, C.-L., Chiang, C.-C., Lu, S.-W., Chang, S.-S., Lin, B.-S., Liang, H.-Y., Chen, R.-J., Lee, Y.T., Ko, L.-W., 2010, An intelligent telecardiology system using a wearable and wireless ECG to detect atrial fibrillation. IEEE Transactions on Information Technology in Biomedicine, 14, 726–733.
  • Ur Rahman, M.Z., Shaik, R.A., Reddy, D.V.R.K., 2009, An efficient noise cancellation technique to remove noise from ECG signal using normalized signal regressor LMS algorithm. Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 257–260.
  • Pan, J., Tompkins, W.J., 1985, A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, 32, 230–236.
  • Arzeno, N.M., Deng, Z.-D., Poon, C.-S., 2008, Analysis of first-derivative based QRS detection algorithms. IEEE Transactions on Biomedical Engineering, 55, 478–484.
  • Li, C., Zheng, C., Tai, C., 1995, Detection of ECG characteristic points using wavelet transforms. IEEE Transactions on Biomedical Engineering, 42, 21–28.
  • Trahanias, P.E., 1993, An approach to QRS complex detection using mathematical morphology. IEEE Transactions on Biomedical Engineering, 40, 201–204.
  • Vijaya, G., Kumar, V., Verma, H.K., 1998, ANN-based QRS-complex analysis of ECG. Journal of Medical Engineering and Technology, 22, 160–167.
  • Mehta, S.S., Lingayat, N.S., 2007, Support vector machine for cardiac beat detection in single lead electrocardiogram. IAENG International Journal of Applied Mathematics, 36, 4–11.
  • MIT-BIH Arrhythmia database (mitdb) [cited 2012 May 24]. Available at: www.physionet.org

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.