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

File: <base>/training/georgia/g10/E09526.hea (722 bytes)
E09526 12 500 5000
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -492 -16453 0 I
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -888 25893 0 II
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -395 -22720 0 III
E09526.mat 16x1+24 1000.0(0)/mV 16 0 690 28080 0 aVR
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29721 0 aVL
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -641 1527 0 aVF
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -2464 4242 0 V1
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -1161 7700 0 V2
E09526.mat 16x1+24 1000.0(0)/mV 16 0 112 18535 0 V3
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -156 10844 0 V4
E09526.mat 16x1+24 1000.0(0)/mV 16 0 -283 26837 0 V5
E09526.mat 16x1+24 1000.0(0)/mV 16 0 185 -6354 0 V6
# Age: 84
# Sex: Male
# Dx: 698252002
# Rx: Unknown
# Hx: Unknown