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

File: <base>/training/georgia/g10/E09499.hea (745 bytes) 
E09499 12 500 5000
E09499.mat 16x1+24 1000.0(0)/mV 16 0 87 25121 0 I
E09499.mat 16x1+24 1000.0(0)/mV 16 0 -107 -22643 0 II
E09499.mat 16x1+24 1000.0(0)/mV 16 0 -195 18071 0 III
E09499.mat 16x1+24 1000.0(0)/mV 16 0 9 -1283 0 aVR
E09499.mat 16x1+24 1000.0(0)/mV 16 0 141 -29060 0 aVL
E09499.mat 16x1+24 1000.0(0)/mV 16 0 -151 30703 0 aVF
E09499.mat 16x1+24 1000.0(0)/mV 16 0 -136 -32548 0 V1
E09499.mat 16x1+24 1000.0(0)/mV 16 0 19 -17948 0 V2
E09499.mat 16x1+24 1000.0(0)/mV 16 0 146 30067 0 V3
E09499.mat 16x1+24 1000.0(0)/mV 16 0 78 14285 0 V4
E09499.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24220 0 V5
E09499.mat 16x1+24 1000.0(0)/mV 16 0 68 30178 0 V6
# Age: 86
# Sex: Male
# Dx: 164884008,428750005,164873001,270492004
# Rx: Unknown
# Hx: Unknown