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

File: <base>/training/georgia/g10/E09354.hea (710 bytes)
E09354 12 500 5000
E09354.mat 16x1+24 1000.0(0)/mV 16 0 19 -32277 0 I
E09354.mat 16x1+24 1000.0(0)/mV 16 0 39 24715 0 II
E09354.mat 16x1+24 1000.0(0)/mV 16 0 19 -8520 0 III
E09354.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28982 0 aVR
E09354.mat 16x1+24 1000.0(0)/mV 16 0 0 -11382 0 aVL
E09354.mat 16x1+24 1000.0(0)/mV 16 0 29 -24473 0 aVF
E09354.mat 16x1+24 1000.0(0)/mV 16 0 -78 26313 0 V1
E09354.mat 16x1+24 1000.0(0)/mV 16 0 175 -8708 0 V2
E09354.mat 16x1+24 1000.0(0)/mV 16 0 68 -3037 0 V3
E09354.mat 16x1+24 1000.0(0)/mV 16 0 68 -8276 0 V4
E09354.mat 16x1+24 1000.0(0)/mV 16 0 78 -15972 0 V5
E09354.mat 16x1+24 1000.0(0)/mV 16 0 -58 27971 0 V6
# Age: 56
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown