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

File: <base>/training/georgia/g2/E01706.hea (737 bytes)
E01706 12 500 5000
E01706.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9765 0 I
E01706.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18894 0 II
E01706.mat 16x1+24 1000.0(0)/mV 16 0 29 -8495 0 III
E01706.mat 16x1+24 1000.0(0)/mV 16 0 34 14362 0 aVR
E01706.mat 16x1+24 1000.0(0)/mV 16 0 -39 -180 0 aVL
E01706.mat 16x1+24 1000.0(0)/mV 16 0 4 -13511 0 aVF
E01706.mat 16x1+24 1000.0(0)/mV 16 0 58 -17393 0 V1
E01706.mat 16x1+24 1000.0(0)/mV 16 0 87 -25346 0 V2
E01706.mat 16x1+24 1000.0(0)/mV 16 0 117 10456 0 V3
E01706.mat 16x1+24 1000.0(0)/mV 16 0 136 15665 0 V4
E01706.mat 16x1+24 1000.0(0)/mV 16 0 0 17856 0 V5
E01706.mat 16x1+24 1000.0(0)/mV 16 0 -78 19742 0 V6
# Age: 51
# Sex: Male
# Dx: 427084000,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown