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

File: <base>/training/georgia/g4/E03593.hea (772 bytes)
E03593 12 500 5000
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3326 0 I
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -175 31063 0 II
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -136 -30430 0 III
E03593.mat 16x1+24 1000.0(0)/mV 16 0 107 -13877 0 aVR
E03593.mat 16x1+24 1000.0(0)/mV 16 0 48 -19557 0 aVL
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -156 -32454 0 aVF
E03593.mat 16x1+24 1000.0(0)/mV 16 0 0 15814 0 V1
E03593.mat 16x1+24 1000.0(0)/mV 16 0 19 -10983 0 V2
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -39 28082 0 V3
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -126 4732 0 V4
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -146 -32237 0 V5
E03593.mat 16x1+24 1000.0(0)/mV 16 0 -390 7832 0 V6
# Age: 41
# Sex: Female
# Dx: 89792004,428750005,67741000119109,47665007,427393009,59931005
# Rx: Unknown
# Hx: Unknown