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

File: <base>/training/georgia/g1/E00262.hea (705 bytes) 
E00262 12 500 5000
E00262.mat 16x1+24 1000.0(0)/mV 16 0 87 21037 0 I
E00262.mat 16x1+24 1000.0(0)/mV 16 0 161 7903 0 II
E00262.mat 16x1+24 1000.0(0)/mV 16 0 73 -12325 0 III
E00262.mat 16x1+24 1000.0(0)/mV 16 0 -124 -14462 0 aVR
E00262.mat 16x1+24 1000.0(0)/mV 16 0 7 16151 0 aVL
E00262.mat 16x1+24 1000.0(0)/mV 16 0 117 -2408 0 aVF
E00262.mat 16x1+24 1000.0(0)/mV 16 0 34 -6636 0 V1
E00262.mat 16x1+24 1000.0(0)/mV 16 0 307 9743 0 V2
E00262.mat 16x1+24 1000.0(0)/mV 16 0 278 882 0 V3
E00262.mat 16x1+24 1000.0(0)/mV 16 0 312 25918 0 V4
E00262.mat 16x1+24 1000.0(0)/mV 16 0 161 -9128 0 V5
E00262.mat 16x1+24 1000.0(0)/mV 16 0 117 1586 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown