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

File: <base>/training/georgia/g10/E09704.hea (713 bytes) 
E09704 12 500 5000
E09704.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18653 0 I
E09704.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1037 0 II
E09704.mat 16x1+24 1000.0(0)/mV 16 0 29 17121 0 III
E09704.mat 16x1+24 1000.0(0)/mV 16 0 34 9641 0 aVR
E09704.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17536 0 aVL
E09704.mat 16x1+24 1000.0(0)/mV 16 0 4 8272 0 aVF
E09704.mat 16x1+24 1000.0(0)/mV 16 0 19 -14586 0 V1
E09704.mat 16x1+24 1000.0(0)/mV 16 0 19 -17995 0 V2
E09704.mat 16x1+24 1000.0(0)/mV 16 0 9 -16663 0 V3
E09704.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3730 0 V4
E09704.mat 16x1+24 1000.0(0)/mV 16 0 9 8917 0 V5
E09704.mat 16x1+24 1000.0(0)/mV 16 0 -19 11688 0 V6
# Age: 52
# Sex: Male
# Dx: 428750005,164873001
# Rx: Unknown
# Hx: Unknown