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

File: <base>/training/georgia/g5/E04623.hea (718 bytes) 
E04623 12 500 5000
E04623.mat 16x1+24 1000.0(0)/mV 16 0 429 15627 0 I
E04623.mat 16x1+24 1000.0(0)/mV 16 0 946 21426 0 II
E04623.mat 16x1+24 1000.0(0)/mV 16 0 517 6459 0 III
E04623.mat 16x1+24 1000.0(0)/mV 16 0 -688 -18531 0 aVR
E04623.mat 16x1+24 1000.0(0)/mV 16 0 -43 -27853 0 aVL
E04623.mat 16x1+24 1000.0(0)/mV 16 0 732 -18898 0 aVF
E04623.mat 16x1+24 1000.0(0)/mV 16 0 -878 -2678 0 V1
E04623.mat 16x1+24 1000.0(0)/mV 16 0 -868 4596 0 V2
E04623.mat 16x1+24 1000.0(0)/mV 16 0 -732 -9562 0 V3
E04623.mat 16x1+24 1000.0(0)/mV 16 0 390 30376 0 V4
E04623.mat 16x1+24 1000.0(0)/mV 16 0 722 7961 0 V5
E04623.mat 16x1+24 1000.0(0)/mV 16 0 732 13936 0 V6
# Age: 67
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown