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

File: <base>/training/georgia/g5/E04871.hea (713 bytes) 
E04871 12 500 5000
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -97 -30770 0 I
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19618 0 II
E04871.mat 16x1+24 1000.0(0)/mV 16 0 48 10937 0 III
E04871.mat 16x1+24 1000.0(0)/mV 16 0 73 25079 0 aVR
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -73 -20820 0 aVL
E04871.mat 16x1+24 1000.0(0)/mV 16 0 0 -3828 0 aVF
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22927 0 V1
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -24 30000 0 V2
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -29 16361 0 V3
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -39 11746 0 V4
E04871.mat 16x1+24 1000.0(0)/mV 16 0 9 -20973 0 V5
E04871.mat 16x1+24 1000.0(0)/mV 16 0 -24 -25547 0 V6
# Age: 63
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown