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

File: <base>/training/georgia/g8/E07923.hea (712 bytes) 
E07923 12 500 5000
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -53 -2719 0 I
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -53 11759 0 II
E07923.mat 16x1+24 1000.0(0)/mV 16 0 0 14054 0 III
E07923.mat 16x1+24 1000.0(0)/mV 16 0 53 -4550 0 aVR
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -26 24597 0 aVL
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -26 -19226 0 aVF
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -29 3054 0 V1
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -92 -23997 0 V2
E07923.mat 16x1+24 1000.0(0)/mV 16 0 141 25178 0 V3
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -24 -15931 0 V4
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -48 18723 0 V5
E07923.mat 16x1+24 1000.0(0)/mV 16 0 -19 1149 0 V6
# Age: 80
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown