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

File: <base>/training/georgia/g4/E03916.hea (718 bytes) 
E03916 12 500 5000
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -122 -13741 0 I
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -43 -9240 0 II
E03916.mat 16x1+24 1000.0(0)/mV 16 0 78 4746 0 III
E03916.mat 16x1+24 1000.0(0)/mV 16 0 82 11277 0 aVR
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -100 -9097 0 aVL
E03916.mat 16x1+24 1000.0(0)/mV 16 0 17 -2141 0 aVF
E03916.mat 16x1+24 1000.0(0)/mV 16 0 24 23282 0 V1
E03916.mat 16x1+24 1000.0(0)/mV 16 0 4 -4640 0 V2
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -73 -6596 0 V3
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -58 16260 0 V4
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -73 17131 0 V5
E03916.mat 16x1+24 1000.0(0)/mV 16 0 -43 -2718 0 V6
# Age: 73
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown