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

File: <base>/training/georgia/g10/E09916.hea (706 bytes) 
E09916 12 500 5000
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -29 2468 0 I
E09916.mat 16x1+24 1000.0(0)/mV 16 0 0 -606 0 II
E09916.mat 16x1+24 1000.0(0)/mV 16 0 29 -3213 0 III
E09916.mat 16x1+24 1000.0(0)/mV 16 0 14 31742 0 aVR
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29732 0 aVL
E09916.mat 16x1+24 1000.0(0)/mV 16 0 14 -1991 0 aVF
E09916.mat 16x1+24 1000.0(0)/mV 16 0 58 18010 0 V1
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -78 -5987 0 V2
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -29 25402 0 V3
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -87 -5088 0 V4
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -107 5065 0 V5
E09916.mat 16x1+24 1000.0(0)/mV 16 0 -107 32320 0 V6
# Age: 51
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown