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

File: <base>/training/georgia/g9/E08223.hea (711 bytes) 
E08223 12 500 5000
E08223.mat 16x1+24 1000.0(0)/mV 16 0 -19 2317 0 I
E08223.mat 16x1+24 1000.0(0)/mV 16 0 -87 -11432 0 II
E08223.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13568 0 III
E08223.mat 16x1+24 1000.0(0)/mV 16 0 53 4314 0 aVR
E08223.mat 16x1+24 1000.0(0)/mV 16 0 24 8239 0 aVL
E08223.mat 16x1+24 1000.0(0)/mV 16 0 -78 -12127 0 aVF
E08223.mat 16x1+24 1000.0(0)/mV 16 0 48 20245 0 V1
E08223.mat 16x1+24 1000.0(0)/mV 16 0 58 -24291 0 V2
E08223.mat 16x1+24 1000.0(0)/mV 16 0 117 14555 0 V3
E08223.mat 16x1+24 1000.0(0)/mV 16 0 29 -21292 0 V4
E08223.mat 16x1+24 1000.0(0)/mV 16 0 68 -11980 0 V5
E08223.mat 16x1+24 1000.0(0)/mV 16 0 0 6955 0 V6
# Age: 60
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown