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

File: <base>/training/georgia/g5/E04482.hea (709 bytes) 
E04482 12 500 5000
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28672 0 I
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -29 27436 0 II
E04482.mat 16x1+24 1000.0(0)/mV 16 0 19 -9448 0 III
E04482.mat 16x1+24 1000.0(0)/mV 16 0 39 450 0 aVR
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -34 23566 0 aVL
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -4 -23714 0 aVF
E04482.mat 16x1+24 1000.0(0)/mV 16 0 29 -22399 0 V1
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -58 27725 0 V2
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -58 24453 0 V3
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -87 11660 0 V4
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -68 3217 0 V5
E04482.mat 16x1+24 1000.0(0)/mV 16 0 -78 -20364 0 V6
# Age: 68
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown