%% Estimate the quality of QRS complex detections % Calculate the quality of QRS detections based on the the likelihood of % measurements from RR interval series with respect to a trained model. See % for further details. See 'A Pattern-Recognition Approach for % Lead-Selection in Heartbeat Detection' CINC 2014 % % Example % % payload_out = calculateSeriesQuality(payload_out, ECG_header, start_end_this_segment) % % Arguments: % + payload_out: structure with the QRS detections series to estimate the % quality. One fieldname contains the QRS detections series in a % 'time' field. For example % payload_out.('QRS_detector1_name_lead_I').time contains the % detections of QRS_detector1 in lead1. See ECGtask_QRS_detection for % examples.% % + ECG_header is a structure (ECG_header prop. in ECGwrapper object) % describing the signal. % + start_end_this_segment: array samples where starts and finish this % signal segment [start_sample end_sample]. % % Output: % + payload_out: The same input structure with extra field % 'series_quality' describing the quaility of the QRS detection % series in three fields: ratios, a measure of quality of the QRS % detections, estimated_labs, for internal use, and AnnNames which % matches the previous fields to the fieldname found in payload_out. % % See also ECGtask_QRS_detection % % Author: Mariano Llamedo Soria llamedom@electron.frba.utn.edu.ar % Version: 0.1 beta % Birthdate: 01/01/2012 % Last update: 18/10/2014 % Copyright 2008-2015 function payload_out = calculateSeriesQuality(payload_out, ECG_header, start_end_this_segment) % estimate quality of QRS detections performed [AnnNames, all_annotations] = getAnnNames(payload_out); [ ratios, estimated_labs ] = CalcRRserieRatio(all_annotations, ECG_header, start_end_this_segment); [ratios, best_detections_idx] = sort(ratios, 'descend'); AnnNames = AnnNames(best_detections_idx,:); payload_out.series_quality.ratios = ratios; payload_out.series_quality.estimated_labs = estimated_labs(best_detections_idx); payload_out.series_quality.AnnNames = AnnNames;