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

File: <base>/training/georgia/g1/E00954.hea (725 bytes) 
E00954 12 500 5000
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21857 0 I
E00954.mat 16x1+24 1000.0(0)/mV 16 0 0 -2503 0 II
E00954.mat 16x1+24 1000.0(0)/mV 16 0 48 20034 0 III
E00954.mat 16x1+24 1000.0(0)/mV 16 0 24 12244 0 aVR
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20904 0 aVL
E00954.mat 16x1+24 1000.0(0)/mV 16 0 24 8775 0 aVF
E00954.mat 16x1+24 1000.0(0)/mV 16 0 9 -411 0 V1
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -19 27787 0 V2
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9756 0 V3
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -39 27631 0 V4
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -87 17679 0 V5
E00954.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31204 0 V6
# Age: 76
# Sex: Male
# Dx: 428750005,39732003,164889003
# Rx: Unknown
# Hx: Unknown