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

File: <base>/training/georgia/g2/E01614.hea (724 bytes) 
E01614 12 500 5000
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27227 0 I
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -48 -12403 0 II
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -39 14751 0 III
E01614.mat 16x1+24 1000.0(0)/mV 16 0 29 -12849 0 aVR
E01614.mat 16x1+24 1000.0(0)/mV 16 0 14 -21021 0 aVL
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -43 -31455 0 aVF
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17090 0 V1
E01614.mat 16x1+24 1000.0(0)/mV 16 0 0 32113 0 V2
E01614.mat 16x1+24 1000.0(0)/mV 16 0 58 -26952 0 V3
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -58 16258 0 V4
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -87 30957 0 V5
E01614.mat 16x1+24 1000.0(0)/mV 16 0 -68 -26139 0 V6
# Age: 69
# Sex: Male
# Dx: 698252002,111975006
# Rx: Unknown
# Hx: Unknown