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

File: <base>/training/georgia/g9/E08942.hea (712 bytes) 
E08942 12 500 5000
E08942.mat 16x1+24 1000.0(0)/mV 16 0 -19 7881 0 I
E08942.mat 16x1+24 1000.0(0)/mV 16 0 19 -22314 0 II
E08942.mat 16x1+24 1000.0(0)/mV 16 0 39 -30417 0 III
E08942.mat 16x1+24 1000.0(0)/mV 16 0 0 -25535 0 aVR
E08942.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13350 0 aVL
E08942.mat 16x1+24 1000.0(0)/mV 16 0 29 -26646 0 aVF
E08942.mat 16x1+24 1000.0(0)/mV 16 0 -29 19722 0 V1
E08942.mat 16x1+24 1000.0(0)/mV 16 0 29 -13809 0 V2
E08942.mat 16x1+24 1000.0(0)/mV 16 0 48 -10453 0 V3
E08942.mat 16x1+24 1000.0(0)/mV 16 0 0 -24064 0 V4
E08942.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15421 0 V5
E08942.mat 16x1+24 1000.0(0)/mV 16 0 0 -31871 0 V6
# Age: 62
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown