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

File: <base>/training/georgia/g5/E04075.hea (753 bytes) 
E04075 12 500 5000
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -122 32601 0 I
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -87 1053 0 II
E04075.mat 16x1+24 1000.0(0)/mV 16 0 34 -31631 0 III
E04075.mat 16x1+24 1000.0(0)/mV 16 0 104 15721 0 aVR
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -78 -268 0 aVL
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -26 -15495 0 aVF
E04075.mat 16x1+24 1000.0(0)/mV 16 0 39 16539 0 V1
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -97 25396 0 V2
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -156 4724 0 V3
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -136 19627 0 V4
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -131 -5051 0 V5
E04075.mat 16x1+24 1000.0(0)/mV 16 0 -156 -18189 0 V6
# Age: 73
# Sex: Male
# Dx: 251120003,17338001,111975006,164930006,39732003
# Rx: Unknown
# Hx: Unknown