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

File: <base>/training/georgia/g5/E04402.hea (707 bytes) 
E04402 12 500 5000
E04402.mat 16x1+24 1000.0(0)/mV 16 0 -9 22281 0 I
E04402.mat 16x1+24 1000.0(0)/mV 16 0 58 -5047 0 II
E04402.mat 16x1+24 1000.0(0)/mV 16 0 68 -26592 0 III
E04402.mat 16x1+24 1000.0(0)/mV 16 0 -24 -8587 0 aVR
E04402.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7121 0 aVL
E04402.mat 16x1+24 1000.0(0)/mV 16 0 63 17301 0 aVF
E04402.mat 16x1+24 1000.0(0)/mV 16 0 29 14042 0 V1
E04402.mat 16x1+24 1000.0(0)/mV 16 0 48 3473 0 V2
E04402.mat 16x1+24 1000.0(0)/mV 16 0 78 32594 0 V3
E04402.mat 16x1+24 1000.0(0)/mV 16 0 -97 -17687 0 V4
E04402.mat 16x1+24 1000.0(0)/mV 16 0 9 -24157 0 V5
E04402.mat 16x1+24 1000.0(0)/mV 16 0 39 -25478 0 V6
# Age: 37
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown