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

File: <base>/training/georgia/g10/E09961.hea (707 bytes) 
E09961 12 500 5000
E09961.mat 16x1+24 1000.0(0)/mV 16 0 9 107 0 I
E09961.mat 16x1+24 1000.0(0)/mV 16 0 29 11019 0 II
E09961.mat 16x1+24 1000.0(0)/mV 16 0 19 10702 0 III
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -19 27161 0 aVR
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5423 0 aVL
E09961.mat 16x1+24 1000.0(0)/mV 16 0 24 -22062 0 aVF
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -48 43 0 V1
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17652 0 V2
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -136 30766 0 V3
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -78 32302 0 V4
E09961.mat 16x1+24 1000.0(0)/mV 16 0 -126 30427 0 V5
E09961.mat 16x1+24 1000.0(0)/mV 16 0 9 -19502 0 V6
# Age: NaN
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown