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

File: <base>/training/georgia/g5/E04293.hea (737 bytes) 
E04293 12 500 5000
E04293.mat 16x1+24 1000.0(0)/mV 16 0 19 -7891 0 I
E04293.mat 16x1+24 1000.0(0)/mV 16 0 9 -10368 0 II
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2623 0 III
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23581 0 aVR
E04293.mat 16x1+24 1000.0(0)/mV 16 0 14 30311 0 aVL
E04293.mat 16x1+24 1000.0(0)/mV 16 0 0 -6277 0 aVF
E04293.mat 16x1+24 1000.0(0)/mV 16 0 9 6996 0 V1
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4520 0 V2
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -87 29013 0 V3
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30630 0 V4
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -19 1469 0 V5
E04293.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26506 0 V6
# Age: 77
# Sex: Female
# Dx: 426664006,425419005,164934002,251266004
# Rx: Unknown
# Hx: Unknown