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

File: <base>/training/georgia/g1/E00922.hea (747 bytes) 
E00922 12 500 5000
E00922.mat 16x1+24 1000.0(0)/mV 16 0 -68 7226 0 I
E00922.mat 16x1+24 1000.0(0)/mV 16 0 39 -24965 0 II
E00922.mat 16x1+24 1000.0(0)/mV 16 0 107 -32688 0 III
E00922.mat 16x1+24 1000.0(0)/mV 16 0 14 8708 0 aVR
E00922.mat 16x1+24 1000.0(0)/mV 16 0 -87 20165 0 aVL
E00922.mat 16x1+24 1000.0(0)/mV 16 0 73 -28687 0 aVF
E00922.mat 16x1+24 1000.0(0)/mV 16 0 39 27372 0 V1
E00922.mat 16x1+24 1000.0(0)/mV 16 0 204 -27477 0 V2
E00922.mat 16x1+24 1000.0(0)/mV 16 0 48 -28312 0 V3
E00922.mat 16x1+24 1000.0(0)/mV 16 0 -107 -21906 0 V4
E00922.mat 16x1+24 1000.0(0)/mV 16 0 -146 -26389 0 V5
E00922.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21421 0 V6
# Age: 78
# Sex: Female
# Dx: 428750005,111975006,164930006,164873001
# Rx: Unknown
# Hx: Unknown