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

File: <base>/training/georgia/g4/E03833.hea (721 bytes) 
E03833 12 500 5000
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -19 28934 0 I
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -165 -28808 0 II
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -146 8051 0 III
E03833.mat 16x1+24 1000.0(0)/mV 16 0 92 -342 0 aVR
E03833.mat 16x1+24 1000.0(0)/mV 16 0 63 -22651 0 aVL
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -156 22395 0 aVF
E03833.mat 16x1+24 1000.0(0)/mV 16 0 73 23577 0 V1
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -185 -18896 0 V2
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -73 2222 0 V3
E03833.mat 16x1+24 1000.0(0)/mV 16 0 0 29701 0 V4
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -4 -29767 0 V5
E03833.mat 16x1+24 1000.0(0)/mV 16 0 -107 5205 0 V6
# Age: 68
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown