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

File: <base>/training/georgia/g10/E09933.hea (715 bytes) 
E09933 12 500 5000
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11126 0 I
E09933.mat 16x1+24 1000.0(0)/mV 16 0 0 5186 0 II
E09933.mat 16x1+24 1000.0(0)/mV 16 0 19 17270 0 III
E09933.mat 16x1+24 1000.0(0)/mV 16 0 9 3004 0 aVR
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14397 0 aVL
E09933.mat 16x1+24 1000.0(0)/mV 16 0 9 11009 0 aVF
E09933.mat 16x1+24 1000.0(0)/mV 16 0 9 -22194 0 V1
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -9 32246 0 V2
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -19 5697 0 V3
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31584 0 V4
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9760 0 V5
E09933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15964 0 V6
# Age: 51
# Sex: Female
# Dx: 428750005,59931005
# Rx: Unknown
# Hx: Unknown