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

File: <base>/training/georgia/g6/E05583.hea (712 bytes) 
E05583 12 500 5000
E05583.mat 16x1+24 1000.0(0)/mV 16 0 0 24220 0 I
E05583.mat 16x1+24 1000.0(0)/mV 16 0 -146 -23166 0 II
E05583.mat 16x1+24 1000.0(0)/mV 16 0 -146 18329 0 III
E05583.mat 16x1+24 1000.0(0)/mV 16 0 73 -417 0 aVR
E05583.mat 16x1+24 1000.0(0)/mV 16 0 73 3228 0 aVL
E05583.mat 16x1+24 1000.0(0)/mV 16 0 -146 -2509 0 aVF
E05583.mat 16x1+24 1000.0(0)/mV 16 0 29 -8784 0 V1
E05583.mat 16x1+24 1000.0(0)/mV 16 0 0 -2341 0 V2
E05583.mat 16x1+24 1000.0(0)/mV 16 0 58 -361 0 V3
E05583.mat 16x1+24 1000.0(0)/mV 16 0 29 -682 0 V4
E05583.mat 16x1+24 1000.0(0)/mV 16 0 29 9385 0 V5
E05583.mat 16x1+24 1000.0(0)/mV 16 0 29 20077 0 V6
# Age: 70
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown