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

File: <base>/training/georgia/g5/E04934.hea (705 bytes) 
E04934 12 500 5000
E04934.mat 16x1+24 1000.0(0)/mV 16 0 39 -5787 0 I
E04934.mat 16x1+24 1000.0(0)/mV 16 0 78 23290 0 II
E04934.mat 16x1+24 1000.0(0)/mV 16 0 39 28908 0 III
E04934.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8831 0 aVR
E04934.mat 16x1+24 1000.0(0)/mV 16 0 0 15571 0 aVL
E04934.mat 16x1+24 1000.0(0)/mV 16 0 58 -6757 0 aVF
E04934.mat 16x1+24 1000.0(0)/mV 16 0 19 -5289 0 V1
E04934.mat 16x1+24 1000.0(0)/mV 16 0 53 -11944 0 V2
E04934.mat 16x1+24 1000.0(0)/mV 16 0 9 -22338 0 V3
E04934.mat 16x1+24 1000.0(0)/mV 16 0 136 -11681 0 V4
E04934.mat 16x1+24 1000.0(0)/mV 16 0 -53 32018 0 V5
E04934.mat 16x1+24 1000.0(0)/mV 16 0 9 -5806 0 V6
# Age: 44
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown