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

File: <base>/training/georgia/g3/E02864.hea (722 bytes) 
E02864 12 500 5000
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -58 18704 0 I
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7673 0 II
E02864.mat 16x1+24 1000.0(0)/mV 16 0 29 -26593 0 III
E02864.mat 16x1+24 1000.0(0)/mV 16 0 43 -5685 0 aVR
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -43 -10151 0 aVL
E02864.mat 16x1+24 1000.0(0)/mV 16 0 0 15822 0 aVF
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -29 7396 0 V1
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -146 18848 0 V2
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -165 17365 0 V3
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20532 0 V4
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -68 11740 0 V5
E02864.mat 16x1+24 1000.0(0)/mV 16 0 -29 2937 0 V6
# Age: 73
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown