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

File: <base>/training/georgia/g10/E09864.hea (743 bytes)
E09864 12 500 5000
E09864.mat 16x1+24 1000.0(0)/mV 16 0 175 -22342 0 I
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -370 -1965 0 II
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -546 20975 0 III
E09864.mat 16x1+24 1000.0(0)/mV 16 0 97 11964 0 aVR
E09864.mat 16x1+24 1000.0(0)/mV 16 0 361 -22114 0 aVL
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -458 9481 0 aVF
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -1376 -15085 0 V1
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -1132 26 0 V2
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -927 -22349 0 V3
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -448 10493 0 V4
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -244 26708 0 V5
E09864.mat 16x1+24 1000.0(0)/mV 16 0 -126 -13845 0 V6
# Age: 75
# Sex: Male
# Dx: 427084000,164873001,284470004
# Rx: Unknown
# Hx: Unknown