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

File: <base>/training/georgia/g6/E05822.hea (758 bytes) 
E05822 12 500 5000
E05822.mat 16x1+24 1000.0(0)/mV 16 0 -175 27550 0 I
E05822.mat 16x1+24 1000.0(0)/mV 16 0 136 9180 0 II
E05822.mat 16x1+24 1000.0(0)/mV 16 0 312 -16767 0 III
E05822.mat 16x1+24 1000.0(0)/mV 16 0 19 -18627 0 aVR
E05822.mat 16x1+24 1000.0(0)/mV 16 0 -244 -10793 0 aVL
E05822.mat 16x1+24 1000.0(0)/mV 16 0 224 29201 0 aVF
E05822.mat 16x1+24 1000.0(0)/mV 16 0 204 32436 0 V1
E05822.mat 16x1+24 1000.0(0)/mV 16 0 68 -30521 0 V2
E05822.mat 16x1+24 1000.0(0)/mV 16 0 117 6709 0 V3
E05822.mat 16x1+24 1000.0(0)/mV 16 0 -87 20039 0 V4
E05822.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22593 0 V5
E05822.mat 16x1+24 1000.0(0)/mV 16 0 -165 28876 0 V6
# Age: 47
# Sex: Female
# Dx: 164873001,111975006,164930006,425623009,164917005
# Rx: Unknown
# Hx: Unknown