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

File: <base>/training/georgia/g5/E04409.hea (738 bytes) 
E04409 12 500 5000
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -48 -8294 0 I
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -204 32536 0 II
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -156 -23704 0 III
E04409.mat 16x1+24 1000.0(0)/mV 16 0 126 20330 0 aVR
E04409.mat 16x1+24 1000.0(0)/mV 16 0 53 6387 0 aVL
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -180 -28338 0 aVF
E04409.mat 16x1+24 1000.0(0)/mV 16 0 58 -16397 0 V1
E04409.mat 16x1+24 1000.0(0)/mV 16 0 136 3042 0 V2
E04409.mat 16x1+24 1000.0(0)/mV 16 0 58 -1556 0 V3
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20479 0 V4
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -146 30628 0 V5
E04409.mat 16x1+24 1000.0(0)/mV 16 0 -165 27625 0 V6
# Age: 21
# Sex: Female
# Dx: 427084000,59931005,164934002
# Rx: Unknown
# Hx: Unknown