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

File: <base>/training/georgia/g10/E09743.hea (719 bytes) 
E09743 12 500 5000
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -29 16364 0 I
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -43 19886 0 II
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -14 3802 0 III
E09743.mat 16x1+24 1000.0(0)/mV 16 0 36 -18195 0 aVR
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -7 6252 0 aVL
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -29 11892 0 aVF
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -39 20510 0 V1
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -102 17931 0 V2
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -53 13266 0 V3
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -39 16241 0 V4
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -34 11097 0 V5
E09743.mat 16x1+24 1000.0(0)/mV 16 0 -34 16077 0 V6
# Age: 61
# Sex: Male
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown