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

File: <base>/training/georgia/g4/E03273.hea (723 bytes) 
E03273 12 500 5000
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -48 -8206 0 I
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19719 0 II
E03273.mat 16x1+24 1000.0(0)/mV 16 0 39 -12476 0 III
E03273.mat 16x1+24 1000.0(0)/mV 16 0 29 14022 0 aVR
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -43 1778 0 aVL
E03273.mat 16x1+24 1000.0(0)/mV 16 0 14 -15731 0 aVF
E03273.mat 16x1+24 1000.0(0)/mV 16 0 9 -25871 0 V1
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -87 -25809 0 V2
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -156 -18578 0 V3
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -117 -10008 0 V4
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -97 2622 0 V5
E03273.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8768 0 V6
# Age: 72
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown