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

File: <base>/training/georgia/g5/E04815.hea (715 bytes) 
E04815 12 500 5000
E04815.mat 16x1+24 1000.0(0)/mV 16 0 409 10702 0 I
E04815.mat 16x1+24 1000.0(0)/mV 16 0 439 -18042 0 II
E04815.mat 16x1+24 1000.0(0)/mV 16 0 29 -29013 0 III
E04815.mat 16x1+24 1000.0(0)/mV 16 0 -424 3845 0 aVR
E04815.mat 16x1+24 1000.0(0)/mV 16 0 190 -13201 0 aVL
E04815.mat 16x1+24 1000.0(0)/mV 16 0 234 9178 0 aVF
E04815.mat 16x1+24 1000.0(0)/mV 16 0 536 10368 0 V1
E04815.mat 16x1+24 1000.0(0)/mV 16 0 849 20135 0 V2
E04815.mat 16x1+24 1000.0(0)/mV 16 0 839 -32105 0 V3
E04815.mat 16x1+24 1000.0(0)/mV 16 0 829 32493 0 V4
E04815.mat 16x1+24 1000.0(0)/mV 16 0 702 -24671 0 V5
E04815.mat 16x1+24 1000.0(0)/mV 16 0 322 30195 0 V6
# Age: 56
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown