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

File: <base>/training/georgia/g10/E09780.hea (716 bytes) 
E09780 12 500 5000
E09780.mat 16x1+24 1000.0(0)/mV 16 0 58 11933 0 I
E09780.mat 16x1+24 1000.0(0)/mV 16 0 117 23303 0 II
E09780.mat 16x1+24 1000.0(0)/mV 16 0 58 11610 0 III
E09780.mat 16x1+24 1000.0(0)/mV 16 0 -87 -17470 0 aVR
E09780.mat 16x1+24 1000.0(0)/mV 16 0 0 -32080 0 aVL
E09780.mat 16x1+24 1000.0(0)/mV 16 0 87 -15277 0 aVF
E09780.mat 16x1+24 1000.0(0)/mV 16 0 9 -24738 0 V1
E09780.mat 16x1+24 1000.0(0)/mV 16 0 29 25763 0 V2
E09780.mat 16x1+24 1000.0(0)/mV 16 0 136 -30437 0 V3
E09780.mat 16x1+24 1000.0(0)/mV 16 0 136 -23170 0 V4
E09780.mat 16x1+24 1000.0(0)/mV 16 0 87 32023 0 V5
E09780.mat 16x1+24 1000.0(0)/mV 16 0 78 7693 0 V6
# Age: 62
# Sex: Male
# Dx: 39732003,427084000
# Rx: Unknown
# Hx: Unknown