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Erschienen in:
2014 | OriginalPaper | Buchkapitel
ECG Signal Reconstruction Based on Stochastic Joint-Modeling of the ECG and the PPG Signals
verfasst von : D. Martín-Martínez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, C. Alberola-López
Erschienen in: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
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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.