Cardiovascular Signal Processing: State of the Art and Algorithms

Author:

Birhanu Hiwot,Kassaw Amare

Publisher

Springer International Publishing

Reference32 articles.

1. Lyon, A., Mincholé, A., Martínez, J.P., Laguna, P., Rodriguez, B.: Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances. J. Roy. Soc. Interface 15(138), 20170821 (2018)

2. Ghasemi, Z., et al.: Estimation of cardiovascular risk predictors from non-invasively measured diametric pulse volume waveforms via multiple measurement information fusion. Sci. Rep. 8(1), 1–11 (2018)

3. Arumugam, M., Sangaiah, A.K.: Arrhythmia identification and classification using wavelet centered methodology in ECG signals. Concurr. Comput.: Pract. Experience 32(17), e5553 (2019)

4. Yao, Y., Shin, S., Mousavi, A., Kim, C.S., Xu, L., Mukkamala, R., Hahn, J.O.: Unobtrusive estimation of cardiovascular parameters with limb ballistocardiography. Sensors 19(13), 2922 (2019)

5. Smital, L., Vítek, M., Kozumplík, J., Provazník, I.: Adaptive wavelet wiener filtering of ECG signals. IEEE Trans. Biomed. Eng. 60(2), 437–445 (2013)

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