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

File: <base>/training/georgia/g4/E03532.hea (710 bytes) 
E03532 12 500 5000
E03532.mat 16x1+24 1000.0(0)/mV 16 0 -53 25800 0 I
E03532.mat 16x1+24 1000.0(0)/mV 16 0 0 -15621 0 II
E03532.mat 16x1+24 1000.0(0)/mV 16 0 53 24019 0 III
E03532.mat 16x1+24 1000.0(0)/mV 16 0 26 27483 0 aVR
E03532.mat 16x1+24 1000.0(0)/mV 16 0 -53 -32022 0 aVL
E03532.mat 16x1+24 1000.0(0)/mV 16 0 26 4308 0 aVF
E03532.mat 16x1+24 1000.0(0)/mV 16 0 19 -16717 0 V1
E03532.mat 16x1+24 1000.0(0)/mV 16 0 4 26468 0 V2
E03532.mat 16x1+24 1000.0(0)/mV 16 0 19 -19459 0 V3
E03532.mat 16x1+24 1000.0(0)/mV 16 0 34 -29318 0 V4
E03532.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23748 0 V5
E03532.mat 16x1+24 1000.0(0)/mV 16 0 -63 -20749 0 V6
# Age: 75
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown