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

File: <base>/training/georgia/g10/E09308.hea (724 bytes)
E09308 12 500 5000
E09308.mat 16x1+24 1000.0(0)/mV 16 0 126 -31864 0 I
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -126 -24066 0 II
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -253 7787 0 III
E09308.mat 16x1+24 1000.0(0)/mV 16 0 0 -4423 0 aVR
E09308.mat 16x1+24 1000.0(0)/mV 16 0 190 -19945 0 aVL
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -190 24769 0 aVF
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9895 0 V1
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -126 -14655 0 V2
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -556 31014 0 V3
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -244 -19908 0 V4
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -234 1142 0 V5
E09308.mat 16x1+24 1000.0(0)/mV 16 0 -224 16242 0 V6
# Age: 59
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown