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

File: <base>/training/georgia/g10/E09674.hea (752 bytes) 
E09674 12 500 5000
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20677 0 I
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17551 0 II
E09674.mat 16x1+24 1000.0(0)/mV 16 0 0 3562 0 III
E09674.mat 16x1+24 1000.0(0)/mV 16 0 39 18952 0 aVR
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11790 0 aVL
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7082 0 aVF
E09674.mat 16x1+24 1000.0(0)/mV 16 0 9 -31773 0 V1
E09674.mat 16x1+24 1000.0(0)/mV 16 0 0 -31309 0 V2
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -14 -32108 0 V3
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30542 0 V4
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10242 0 V5
E09674.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1375 0 V6
# Age: 58
# Sex: Male
# Dx: 251120003,428750005,111975006,164930006,164889003
# Rx: Unknown
# Hx: Unknown