Estimation of missing data in multi-channel physiological time-series by average substitution with timing from a reference channel

The Computing in Cardiology Challenge 2010 was to develop a computer algorithm for reconstructing missing sections of physiological data. For cardiac related signals our algorithm obtained beat timings from a reference timing channel. Missing beats were estimated from the average of non-missing beats. ECG derived respiration was used for missing respiratory data. Score for event 1 was 59 and for event 2 was 72. Good scores were achieved despite beat-to-beat reconstructions that lacked important physiological detail, serving to illustrate that it is essential to evaluate the clinical impact of reconstruction algorithms.