![]() % IEEE Transaction in Biomedical Engineering, vol. % "QRS detection algorithm for telehealth electrocardiogram recordings," % If you use this code or data, please cite as follows: The software artifact mask - value of 1 where the data is masked and 0 otherwise. The visually determined artifact mask - value of 1 where the data is masked and 0 otherwise. The qrs complexes - value of 1 where a qrs is located and 0 otherwise. N is the number of samples for the data file. The index of the data file in the original dataset of 300 records (see ) - for tracking purposes. Contains the extracted data from the M (250) data files. % and returns a structure containing all data, annotations and masks. % Extracts the data for each of the 250 telehealth ECG records of the TELE database 2016)Ī matlab function (readFromCSV_TELE.m) has been provided to read the. a boolean indicating the software determined mask (see Khamis et al. a boolean indicating the visually determined mask a boolean indicating the locations of the annotated qrs complexes dat file is a comma separated values file. The remaining 250 records will be referred to as the TELE database."įor all 250 recordings in the TELE database, the mains frequency was 50 Hz, the sampling frequency was 500 Hz and the top and bottom rail voltages were 5.556912223578890 and -5.554198887532222 mV respectively.Įach record in the TELE database is stored as a X_Y.dat file where X indicates the index of the record in the TELE database (containing a total of 250 records) and Y indicates the index of the record in the original dataset containing 300 records (see Redmond et al. (2012), 50 records (including 29 of the 250 randomly selected records and 21 of the 50 manually selected records) were discarded as all annotated RR intervals within these records overlap with the annotated artifact mask and therefore, no heart rate can be calculated, which is required for measuring algorithm performance. Of the 300 telehealth ECG records in Redmond et al. QRS annotations in the masked regions were discarded prior to the artifact mask and QRS locations being saved. Sections of the ECG signal which were less than 5 s in duration were considered to be part of the neighboring artifact sections and were subsequently masked. All scorers then annotated the signals as a group, to reconcile the individual annotations. Three independent scorers annotated the data by identifying sections of artifact and QRS complexes. Of the 300 recordings, 250 were selected randomly from 120 patients, and the remaining 50 were manually selected from 168 patients to obtain a larger representation of poor quality data. This ECG is sampled at a rate of 500 Hz using dry metal Ag/AgCl plate electrodes which the patient holds with each hand a reference electrode plate is also positioned under the pad of the right hand. The data was recorded using the TeleMedCare Health Monitor (TeleMedCare Pty. "In Redmond et al (2012), 300 ECG single lead-I signals recorded in a telehealth environment are described. The following description of the TELE database is from Khamis et al (2016): Redmond, "QRS detection algorithm for telehealth electrocardiogram recordings," IEEE Transaction in Biomedical Engineering, vol.
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