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

File: <base>/training/georgia/g10/E09790.hea (751 bytes)
E09790 12 500 5000
E09790.mat 16x1+24 1000.0(0)/mV 16 0 68 -19591 0 I
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21864 0 II
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -136 -2945 0 III
E09790.mat 16x1+24 1000.0(0)/mV 16 0 0 -12123 0 aVR
E09790.mat 16x1+24 1000.0(0)/mV 16 0 102 -8357 0 aVL
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -102 20215 0 aVF
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -156 -13561 0 V1
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -283 28300 0 V2
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -302 6569 0 V3
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -175 -8517 0 V4
E09790.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2809 0 V5
E09790.mat 16x1+24 1000.0(0)/mV 16 0 97 -5092 0 V6
# Age: 62
# Sex: Male
# Dx: 59118001,67741000119109,164889003,425419005
# Rx: Unknown
# Hx: Unknown