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

File: <base>/training/georgia/g1/E00532.hea (738 bytes) 
E00532 12 500 5000
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -48 -26661 0 I
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -87 -18222 0 II
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -39 8409 0 III
E00532.mat 16x1+24 1000.0(0)/mV 16 0 68 22420 0 aVR
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -4 -17162 0 aVL
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -63 -4329 0 aVF
E00532.mat 16x1+24 1000.0(0)/mV 16 0 19 24903 0 V1
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -29 31362 0 V2
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -253 31679 0 V3
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -1395 13575 0 V4
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -224 -30937 0 V5
E00532.mat 16x1+24 1000.0(0)/mV 16 0 -185 -30151 0 V6
# Age: 79
# Sex: Male
# Dx: 164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown