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

File: <base>/training/georgia/g10/E09179.hea (702 bytes) 
E09179 12 500 5000
E09179.mat 16x1+24 1000.0(0)/mV 16 0 9 -23131 0 I
E09179.mat 16x1+24 1000.0(0)/mV 16 0 48 -23790 0 II
E09179.mat 16x1+24 1000.0(0)/mV 16 0 39 -352 0 III
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9642 0 aVR
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -14 21128 0 aVL
E09179.mat 16x1+24 1000.0(0)/mV 16 0 43 -12038 0 aVF
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -9 21418 0 V1
E09179.mat 16x1+24 1000.0(0)/mV 16 0 0 23748 0 V2
E09179.mat 16x1+24 1000.0(0)/mV 16 0 19 3741 0 V3
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -9 5264 0 V4
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -19 6940 0 V5
E09179.mat 16x1+24 1000.0(0)/mV 16 0 -165 13130 0 V6
# Age: 71
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown