Correction of the Unobtrusive ECG Using System Identification
AbstractUnobtrusively acquired electrocardiograms (ECG) could substantially improve the comfort of patients. However, such ECGs are not used in clinical practice because (among other reasons) signal deformations impede correct diagnosis of the ECG. Here, methods are proposed for correction of the unobtrusive ECG, based on system identification. Knowing the reference ECG, models were developed to correct the unobtrusively acquired ECG. A finite impulse response (FIR) model, a state space model and an autoregressive model were developed. The models were trained and evaluated on the Goldberger leads recorded from an ECG T-shirt with dry electrodes, and from a gold standard ECG. It was found that the FIR model corrects the unobtrusive ECG with good agreement (
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Boehm, A.; Yu, X.; Leonhardt, S.; Teichmann, D. Correction of the Unobtrusive ECG Using System Identification. Electronics 2017, 6, 94.
Boehm A, Yu X, Leonhardt S, Teichmann D. Correction of the Unobtrusive ECG Using System Identification. Electronics. 2017; 6(4):94.Chicago/Turabian Style
Boehm, Anna; Yu, Xinchi; Leonhardt, Steffen; Teichmann, Daniel. 2017. "Correction of the Unobtrusive ECG Using System Identification." Electronics 6, no. 4: 94.
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