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

File: <base>/training/georgia/g10/E09631.hea (737 bytes) 
E09631 12 500 5000
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -53 9246 0 I
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -263 -11885 0 II
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -209 -20502 0 III
E09631.mat 16x1+24 1000.0(0)/mV 16 0 158 -31297 0 aVR
E09631.mat 16x1+24 1000.0(0)/mV 16 0 78 -18227 0 aVL
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -236 -16296 0 aVF
E09631.mat 16x1+24 1000.0(0)/mV 16 0 78 -28594 0 V1
E09631.mat 16x1+24 1000.0(0)/mV 16 0 53 -1092 0 V2
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -14 -31654 0 V3
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -34 26128 0 V4
E09631.mat 16x1+24 1000.0(0)/mV 16 0 -43 -2938 0 V5
E09631.mat 16x1+24 1000.0(0)/mV 16 0 4 -16070 0 V6
# Age: 72
# Sex: Male
# Dx: 426177001,427393009,164934002
# Rx: Unknown
# Hx: Unknown