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

File: <base>/training/georgia/g2/E01916.hea (760 bytes) 
E01916 12 500 5000
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23699 0 I
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -97 -29236 0 II
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -78 -5176 0 III
E01916.mat 16x1+24 1000.0(0)/mV 16 0 58 26303 0 aVR
E01916.mat 16x1+24 1000.0(0)/mV 16 0 29 -9163 0 aVL
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -87 -17318 0 aVF
E01916.mat 16x1+24 1000.0(0)/mV 16 0 48 -29399 0 V1
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -97 -9227 0 V2
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -29 13830 0 V3
E01916.mat 16x1+24 1000.0(0)/mV 16 0 48 -15836 0 V4
E01916.mat 16x1+24 1000.0(0)/mV 16 0 -19 28874 0 V5
E01916.mat 16x1+24 1000.0(0)/mV 16 0 29 12184 0 V6
# Age: 88
# Sex: Male
# Dx: 17338001,164930006,426434006,59931005,164934002,164917005
# Rx: Unknown
# Hx: Unknown