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

File: <base>/training/georgia/g10/E09799.hea (721 bytes) 
E09799 12 500 5000
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -48 15005 0 I
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -78 -17455 0 II
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31903 0 III
E09799.mat 16x1+24 1000.0(0)/mV 16 0 63 -31776 0 aVR
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -9 23296 0 aVL
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -53 8211 0 aVF
E09799.mat 16x1+24 1000.0(0)/mV 16 0 9 -23891 0 V1
E09799.mat 16x1+24 1000.0(0)/mV 16 0 48 -31295 0 V2
E09799.mat 16x1+24 1000.0(0)/mV 16 0 39 18615 0 V3
E09799.mat 16x1+24 1000.0(0)/mV 16 0 126 11977 0 V4
E09799.mat 16x1+24 1000.0(0)/mV 16 0 -195 23662 0 V5
E09799.mat 16x1+24 1000.0(0)/mV 16 0 117 31241 0 V6
# Age: 64
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown