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

File: <base>/training/georgia/g6/E05643.hea (744 bytes) 
E05643 12 500 5000
E05643.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29150 0 I
E05643.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6386 0 II
E05643.mat 16x1+24 1000.0(0)/mV 16 0 9 23013 0 III
E05643.mat 16x1+24 1000.0(0)/mV 16 0 53 17637 0 aVR
E05643.mat 16x1+24 1000.0(0)/mV 16 0 -34 -25865 0 aVL
E05643.mat 16x1+24 1000.0(0)/mV 16 0 -19 8293 0 aVF
E05643.mat 16x1+24 1000.0(0)/mV 16 0 48 -20333 0 V1
E05643.mat 16x1+24 1000.0(0)/mV 16 0 78 23709 0 V2
E05643.mat 16x1+24 1000.0(0)/mV 16 0 58 7491 0 V3
E05643.mat 16x1+24 1000.0(0)/mV 16 0 58 -24830 0 V4
E05643.mat 16x1+24 1000.0(0)/mV 16 0 39 -21162 0 V5
E05643.mat 16x1+24 1000.0(0)/mV 16 0 48 -768 0 V6
# Age: 77
# Sex: Male
# Dx: 39732003,426177001,427393009,164934002,164873001
# Rx: Unknown
# Hx: Unknown