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

File: <base>/training/georgia/g10/E09250.hea (732 bytes) 
E09250 12 500 5000
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -29 15293 0 I
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -58 26531 0 II
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -29 11665 0 III
E09250.mat 16x1+24 1000.0(0)/mV 16 0 43 -21029 0 aVR
E09250.mat 16x1+24 1000.0(0)/mV 16 0 0 -31053 0 aVL
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -43 -13579 0 aVF
E09250.mat 16x1+24 1000.0(0)/mV 16 0 9 -6745 0 V1
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21096 0 V2
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14807 0 V3
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8321 0 V4
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -29 2932 0 V5
E09250.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6187 0 V6
# Age: 68
# Sex: Female
# Dx: 428750005,426177001,59931005
# Rx: Unknown
# Hx: Unknown