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

File: <base>/training/georgia/g2/E01273.hea (719 bytes) 
E01273 12 500 5000
E01273.mat 16x1+24 1000.0(0)/mV 16 0 78 13828 0 I
E01273.mat 16x1+24 1000.0(0)/mV 16 0 156 4286 0 II
E01273.mat 16x1+24 1000.0(0)/mV 16 0 78 -8880 0 III
E01273.mat 16x1+24 1000.0(0)/mV 16 0 -117 -8942 0 aVR
E01273.mat 16x1+24 1000.0(0)/mV 16 0 0 10946 0 aVL
E01273.mat 16x1+24 1000.0(0)/mV 16 0 117 -2304 0 aVF
E01273.mat 16x1+24 1000.0(0)/mV 16 0 -87 2876 0 V1
E01273.mat 16x1+24 1000.0(0)/mV 16 0 -97 27287 0 V2
E01273.mat 16x1+24 1000.0(0)/mV 16 0 39 -25229 0 V3
E01273.mat 16x1+24 1000.0(0)/mV 16 0 370 -29054 0 V4
E01273.mat 16x1+24 1000.0(0)/mV 16 0 488 -21259 0 V5
E01273.mat 16x1+24 1000.0(0)/mV 16 0 448 -1877 0 V6
# Age: 70
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown