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

File: <base>/training/georgia/g10/E09584.hea (739 bytes) 
E09584 12 500 5000
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -219 20165 0 I
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -136 -21796 0 II
E09584.mat 16x1+24 1000.0(0)/mV 16 0 82 23392 0 III
E09584.mat 16x1+24 1000.0(0)/mV 16 0 178 -31923 0 aVR
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -151 31037 0 aVL
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -26 770 0 aVF
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -43 -13298 0 V1
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -48 990 0 V2
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13430 0 V3
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -419 22447 0 V4
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -141 -20050 0 V5
E09584.mat 16x1+24 1000.0(0)/mV 16 0 -112 -11034 0 V6
# Age: 46
# Sex: Male
# Dx: 427084000,425419005,164934002
# Rx: Unknown
# Hx: Unknown