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

File: <base>/training/georgia/g10/E09760.hea (740 bytes) 
E09760 12 500 5000
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -58 28803 0 I
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -87 7091 0 II
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22171 0 III
E09760.mat 16x1+24 1000.0(0)/mV 16 0 73 14957 0 aVR
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -14 -7207 0 aVL
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7437 0 aVF
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -39 1801 0 V1
E09760.mat 16x1+24 1000.0(0)/mV 16 0 0 24810 0 V2
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -29 29368 0 V3
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -58 7840 0 V4
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25492 0 V5
E09760.mat 16x1+24 1000.0(0)/mV 16 0 -156 -31889 0 V6
# Age: 80
# Sex: Male
# Dx: 111975006,164930006,164889003,164934002
# Rx: Unknown
# Hx: Unknown