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

File: <base>/training/georgia/g10/E09397.hea (714 bytes) 
E09397 12 500 5000
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13805 0 I
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -58 13813 0 II
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -19 27165 0 III
E09397.mat 16x1+24 1000.0(0)/mV 16 0 48 -91 0 aVR
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20304 0 aVL
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -39 20700 0 aVF
E09397.mat 16x1+24 1000.0(0)/mV 16 0 48 -28970 0 V1
E09397.mat 16x1+24 1000.0(0)/mV 16 0 48 -28568 0 V2
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -478 -2158 0 V3
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -107 29594 0 V4
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25962 0 V5
E09397.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30877 0 V6
# Age: 60
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown