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

File: <base>/training/georgia/g5/E04052.hea (731 bytes) 
E04052 12 500 5000
E04052.mat 16x1+24 1000.0(0)/mV 16 0 78 13980 0 I
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22120 0 II
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -87 28910 0 III
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -34 -28018 0 aVR
E04052.mat 16x1+24 1000.0(0)/mV 16 0 82 25429 0 aVL
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -48 3558 0 aVF
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31352 0 V1
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -48 13734 0 V2
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6678 0 V3
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21838 0 V4
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -68 26934 0 V5
E04052.mat 16x1+24 1000.0(0)/mV 16 0 -29 1167 0 V6
# Age: 73
# Sex: Male
# Dx: 445211001,426177001,164934002
# Rx: Unknown
# Hx: Unknown