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

File: <base>/training/georgia/g9/E08915.hea (714 bytes) 
E08915 12 500 5000
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28080 0 I
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -29 26034 0 II
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10278 0 III
E08915.mat 16x1+24 1000.0(0)/mV 16 0 19 1291 0 aVR
E08915.mat 16x1+24 1000.0(0)/mV 16 0 4 23060 0 aVL
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24923 0 aVF
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14877 0 V1
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21556 0 V2
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -29 25476 0 V3
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -48 25412 0 V4
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -78 -14451 0 V5
E08915.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14965 0 V6
# Age: 55
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown