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

File: <base>/training/georgia/g9/E08905.hea (711 bytes) 
E08905 12 500 5000
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -68 73 0 I
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -185 8391 0 II
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -117 8941 0 III
E08905.mat 16x1+24 1000.0(0)/mV 16 0 126 -4250 0 aVR
E08905.mat 16x1+24 1000.0(0)/mV 16 0 24 -4118 0 aVL
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -151 8908 0 aVF
E08905.mat 16x1+24 1000.0(0)/mV 16 0 48 7298 0 V1
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -175 -1602 0 V2
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -87 14584 0 V3
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -146 16128 0 V4
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -126 31217 0 V5
E08905.mat 16x1+24 1000.0(0)/mV 16 0 -117 -21548 0 V6
# Age: 56
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown