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

File: <base>/training/georgia/g4/E03922.hea (726 bytes) 
E03922 12 500 5000
E03922.mat 16x1+24 1000.0(0)/mV 16 0 146 834 0 I
E03922.mat 16x1+24 1000.0(0)/mV 16 0 156 -14345 0 II
E03922.mat 16x1+24 1000.0(0)/mV 16 0 9 -14627 0 III
E03922.mat 16x1+24 1000.0(0)/mV 16 0 -151 7144 0 aVR
E03922.mat 16x1+24 1000.0(0)/mV 16 0 68 -25257 0 aVL
E03922.mat 16x1+24 1000.0(0)/mV 16 0 82 17679 0 aVF
E03922.mat 16x1+24 1000.0(0)/mV 16 0 9 -3080 0 V1
E03922.mat 16x1+24 1000.0(0)/mV 16 0 -48 20963 0 V2
E03922.mat 16x1+24 1000.0(0)/mV 16 0 -58 17616 0 V3
E03922.mat 16x1+24 1000.0(0)/mV 16 0 -19 10676 0 V4
E03922.mat 16x1+24 1000.0(0)/mV 16 0 -39 21389 0 V5
E03922.mat 16x1+24 1000.0(0)/mV 16 0 48 -26142 0 V6
# Age: 71
# Sex: Male
# Dx: 164873001,39732003,426177001
# Rx: Unknown
# Hx: Unknown