Comput Math Methods Med - An efficient time-varying filter for detrending and bandwidth limiting the heart rate variability tachogram without resampling: MATLAB open-source code and Internet web-based implementation.

Tópicos

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Resumo

The heart rate variability (HRV) signal derived from the ECG is a beat-to-beat record of RR intervals and is, as a time series, irregularly sampled. It is common engineering practice to resample this record, typically at 4 Hz, onto a regular time axis for analysis in advance of time domain filtering and spectral analysis based on the DFT. However, it is recognised that resampling introduces noise and frequency bias. The present work describes the implementation of a time-varying filter using a smoothing priors approach based on a Gaussian process model, which does not require data to be regular in time. Its output is directly compatible with the Lomb-Scargle algorithm for power density estimation. A web-based demonstration is available over the Internet for exemplar data. The MATLAB (MathWorks Inc.) code can be downloaded as open source.

Resumo Limpo

heart rate variabl hrv signal deriv ecg beattobeat record rr interv time seri irregular sampl common engin practic resampl record typic hz onto regular time axi analysi advanc time domain filter spectral analysi base dft howev recognis resampl introduc nois frequenc bias present work describ implement timevari filter use smooth prior approach base gaussian process model requir data regular time output direct compat lombscargl algorithm power densiti estim webbas demonstr avail internet exemplar data matlab mathwork inc code can download open sourc

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