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

File: <base>/training/georgia/g5/E04220.hea (745 bytes) 
E04220 12 500 5000
E04220.mat 16x1+24 1000.0(0)/mV 16 0 43 -8403 0 I
E04220.mat 16x1+24 1000.0(0)/mV 16 0 -9 27553 0 II
E04220.mat 16x1+24 1000.0(0)/mV 16 0 -53 -29482 0 III
E04220.mat 16x1+24 1000.0(0)/mV 16 0 -17 23377 0 aVR
E04220.mat 16x1+24 1000.0(0)/mV 16 0 48 -22380 0 aVL
E04220.mat 16x1+24 1000.0(0)/mV 16 0 -31 -799 0 aVF
E04220.mat 16x1+24 1000.0(0)/mV 16 0 0 23922 0 V1
E04220.mat 16x1+24 1000.0(0)/mV 16 0 48 -2349 0 V2
E04220.mat 16x1+24 1000.0(0)/mV 16 0 19 -26407 0 V3
E04220.mat 16x1+24 1000.0(0)/mV 16 0 29 -29712 0 V4
E04220.mat 16x1+24 1000.0(0)/mV 16 0 4 5958 0 V5
E04220.mat 16x1+24 1000.0(0)/mV 16 0 4 3901 0 V6
# Age: 72
# Sex: Male
# Dx: 17338001,67741000119109,425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown