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

File: <base>/training/georgia/g10/E09475.hea (705 bytes) 
E09475 12 500 5000
E09475.mat 16x1+24 1000.0(0)/mV 16 0 19 20892 0 I
E09475.mat 16x1+24 1000.0(0)/mV 16 0 68 -7104 0 II
E09475.mat 16x1+24 1000.0(0)/mV 16 0 48 -27781 0 III
E09475.mat 16x1+24 1000.0(0)/mV 16 0 -43 26084 0 aVR
E09475.mat 16x1+24 1000.0(0)/mV 16 0 -14 -8247 0 aVL
E09475.mat 16x1+24 1000.0(0)/mV 16 0 58 -17552 0 aVF
E09475.mat 16x1+24 1000.0(0)/mV 16 0 29 -16587 0 V1
E09475.mat 16x1+24 1000.0(0)/mV 16 0 9 -3360 0 V2
E09475.mat 16x1+24 1000.0(0)/mV 16 0 -39 17541 0 V3
E09475.mat 16x1+24 1000.0(0)/mV 16 0 -19 27223 0 V4
E09475.mat 16x1+24 1000.0(0)/mV 16 0 9 32613 0 V5
E09475.mat 16x1+24 1000.0(0)/mV 16 0 58 -14538 0 V6
# Age: 56
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown