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

File: <base>/training/georgia/g10/E09536.hea (712 bytes) 
E09536 12 500 5000
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -165 -32515 0 I
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -34 17067 0 II
E09536.mat 16x1+24 1000.0(0)/mV 16 0 131 -16585 0 III
E09536.mat 16x1+24 1000.0(0)/mV 16 0 100 7652 0 aVR
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -148 24867 0 aVL
E09536.mat 16x1+24 1000.0(0)/mV 16 0 48 32513 0 aVF
E09536.mat 16x1+24 1000.0(0)/mV 16 0 53 1145 0 V1
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -92 28591 0 V2
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -78 16138 0 V3
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -53 10021 0 V4
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4906 0 V5
E09536.mat 16x1+24 1000.0(0)/mV 16 0 -24 26322 0 V6
# Age: 74
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown