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

File: <base>/training/georgia/g1/E00923.hea (743 bytes) 
E00923 12 500 5000
E00923.mat 16x1+24 1000.0(0)/mV 16 0 -48 12189 0 I
E00923.mat 16x1+24 1000.0(0)/mV 16 0 9 -28022 0 II
E00923.mat 16x1+24 1000.0(0)/mV 16 0 58 24342 0 III
E00923.mat 16x1+24 1000.0(0)/mV 16 0 19 -25021 0 aVR
E00923.mat 16x1+24 1000.0(0)/mV 16 0 -53 26824 0 aVL
E00923.mat 16x1+24 1000.0(0)/mV 16 0 34 -1735 0 aVF
E00923.mat 16x1+24 1000.0(0)/mV 16 0 117 -4158 0 V1
E00923.mat 16x1+24 1000.0(0)/mV 16 0 117 27693 0 V2
E00923.mat 16x1+24 1000.0(0)/mV 16 0 107 -26314 0 V3
E00923.mat 16x1+24 1000.0(0)/mV 16 0 29 -18282 0 V4
E00923.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8892 0 V5
E00923.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13334 0 V6
# Age: 78
# Sex: Female
# Dx: 428750005,164873001,111975006,164930006
# Rx: Unknown
# Hx: Unknown