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

File: <base>/training/georgia/g5/E04994.hea (707 bytes) 
E04994 12 500 5000
E04994.mat 16x1+24 1000.0(0)/mV 16 0 9 -1124 0 I
E04994.mat 16x1+24 1000.0(0)/mV 16 0 29 -24206 0 II
E04994.mat 16x1+24 1000.0(0)/mV 16 0 19 -24348 0 III
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20159 0 aVR
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -4 11466 0 aVL
E04994.mat 16x1+24 1000.0(0)/mV 16 0 24 8632 0 aVF
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -58 3365 0 V1
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -58 2188 0 V2
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14846 0 V3
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6639 0 V4
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8526 0 V5
E04994.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8405 0 V6
# Age: 78
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown