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

File: <base>/training/georgia/g1/E00202.hea (719 bytes) 
E00202 12 500 5000
E00202.mat 16x1+24 1000.0(0)/mV 16 0 -58 -730 0 I
E00202.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19753 0 II
E00202.mat 16x1+24 1000.0(0)/mV 16 0 29 -19028 0 III
E00202.mat 16x1+24 1000.0(0)/mV 16 0 43 10051 0 aVR
E00202.mat 16x1+24 1000.0(0)/mV 16 0 -43 -23648 0 aVL
E00202.mat 16x1+24 1000.0(0)/mV 16 0 0 13061 0 aVF
E00202.mat 16x1+24 1000.0(0)/mV 16 0 39 -31839 0 V1
E00202.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3402 0 V2
E00202.mat 16x1+24 1000.0(0)/mV 16 0 19 -22034 0 V3
E00202.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14577 0 V4
E00202.mat 16x1+24 1000.0(0)/mV 16 0 19 -1852 0 V5
E00202.mat 16x1+24 1000.0(0)/mV 16 0 29 -5916 0 V6
# Age: 60
# Sex: Female
# Dx: 39732003,164889003
# Rx: Unknown
# Hx: Unknown