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

File: <base>/training/georgia/g10/E09706.hea (727 bytes)
E09706 12 500 5000
E09706.mat 16x1+24 1000.0(0)/mV 16 0 0 32155 0 I
E09706.mat 16x1+24 1000.0(0)/mV 16 0 9 -22353 0 II
E09706.mat 16x1+24 1000.0(0)/mV 16 0 9 11675 0 III
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -4 27731 0 aVR
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -4 -22243 0 aVL
E09706.mat 16x1+24 1000.0(0)/mV 16 0 9 -5174 0 aVF
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -136 -10994 0 V1
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -87 25078 0 V2
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10093 0 V3
E09706.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14583 0 V4
E09706.mat 16x1+24 1000.0(0)/mV 16 0 19 -16421 0 V5
E09706.mat 16x1+24 1000.0(0)/mV 16 0 9 -26549 0 V6
# Age: 64
# Sex: Male
# Dx: 428750005,251146004,111975006
# Rx: Unknown
# Hx: Unknown