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

File: <base>/training/georgia/g2/E01835.hea (743 bytes) 
E01835 12 500 5000
E01835.mat 16x1+24 1000.0(0)/mV 16 0 58 -25858 0 I
E01835.mat 16x1+24 1000.0(0)/mV 16 0 39 -16514 0 II
E01835.mat 16x1+24 1000.0(0)/mV 16 0 -19 8484 0 III
E01835.mat 16x1+24 1000.0(0)/mV 16 0 -48 21312 0 aVR
E01835.mat 16x1+24 1000.0(0)/mV 16 0 39 -17319 0 aVL
E01835.mat 16x1+24 1000.0(0)/mV 16 0 9 -4004 0 aVF
E01835.mat 16x1+24 1000.0(0)/mV 16 0 9 -896 0 V1
E01835.mat 16x1+24 1000.0(0)/mV 16 0 48 -8464 0 V2
E01835.mat 16x1+24 1000.0(0)/mV 16 0 48 22986 0 V3
E01835.mat 16x1+24 1000.0(0)/mV 16 0 19 25656 0 V4
E01835.mat 16x1+24 1000.0(0)/mV 16 0 29 27098 0 V5
E01835.mat 16x1+24 1000.0(0)/mV 16 0 -39 16672 0 V6
# Age: 66
# Sex: Female
# Dx: 39732003,426177001,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown