@inproceedings{e24396f67aed4d5992f9bb08820ca01d,
title = "ECG signal reconstruction based on stochastic joint-modelling of the ECG and the PPG signals",
abstract = "In this paper, we propose a model-based methodology aimed at reconstructing corrupted or missing intervals of ECG signals acquired together with a PPG signal. To this end, we first estimate a joint-model of the ECG and PPG signals from the largest uncorrupted piece. Then, in a second stage, a set of candidates to replace the corrupted epoch is synthesized by sampling the aforementioned model. Each sample is evaluated respect to a boundary condition in order to select the best candidate. This signal is refined through an iterative method relying on the actual PPG data acquired during the corruption interval. Experiments on real data, show the capability of the proposed methodology to accurately reconstruct ECG pieces, outperforming so far presented solutions not accounting for joint information.",
keywords = "ECG reconstruction, joint ECG-PPG modeling, waveform model, evolution model, ARMA, PCA",
author = "D. Mart{\'i}n-Mart{\'i}nez and P. Casaseca-de-la-Higuera and M. Mart{\'i}n-Fern{\'a}ndez and C. Alberola-L{\'o}pez",
year = "2013",
doi = "10.1007/978-3-319-00846-2_245",
language = "English",
isbn = "9783319008455",
volume = "41",
series = "IFMBE Proceedings",
publisher = "Springer International Publishing AG",
pages = "989--992",
editor = "{Roa Romero}, {Laura M.}",
booktitle = "XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013",
address = "Switzerland",
}