Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g5/E04826.hea (718 bytes) 
E04826 12 500 5000
E04826.mat 16x1+24 1000.0(0)/mV 16 0 663 5019 0 I
E04826.mat 16x1+24 1000.0(0)/mV 16 0 351 -22405 0 II
E04826.mat 16x1+24 1000.0(0)/mV 16 0 -312 -26896 0 III
E04826.mat 16x1+24 1000.0(0)/mV 16 0 -507 8492 0 aVR
E04826.mat 16x1+24 1000.0(0)/mV 16 0 488 16280 0 aVL
E04826.mat 16x1+24 1000.0(0)/mV 16 0 19 -24439 0 aVF
E04826.mat 16x1+24 1000.0(0)/mV 16 0 -566 21639 0 V1
E04826.mat 16x1+24 1000.0(0)/mV 16 0 -644 32541 0 V2
E04826.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27787 0 V3
E04826.mat 16x1+24 1000.0(0)/mV 16 0 575 -26432 0 V4
E04826.mat 16x1+24 1000.0(0)/mV 16 0 800 -23359 0 V5
E04826.mat 16x1+24 1000.0(0)/mV 16 0 790 -6182 0 V6
# Age: 67
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown