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

File: <base>/training/georgia/g1/E00706.hea (718 bytes) 
E00706 12 500 5000
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -219 -22155 0 I
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -39 8089 0 II
E00706.mat 16x1+24 1000.0(0)/mV 16 0 180 30268 0 III
E00706.mat 16x1+24 1000.0(0)/mV 16 0 129 7025 0 aVR
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -200 6554 0 aVL
E00706.mat 16x1+24 1000.0(0)/mV 16 0 70 -13736 0 aVF
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -19 5822 0 V1
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -68 6553 0 V2
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6648 0 V3
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -29 -674 0 V4
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1409 0 V5
E00706.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1032 0 V6
# Age: 60
# Sex: Male
# Dx: 427084000,251146004
# Rx: Unknown
# Hx: Unknown