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

File: <base>/training/georgia/g4/E03926.hea (707 bytes) 
E03926 12 500 5000
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17595 0 I
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -29 2080 0 II
E03926.mat 16x1+24 1000.0(0)/mV 16 0 9 19496 0 III
E03926.mat 16x1+24 1000.0(0)/mV 16 0 34 7815 0 aVR
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -24 14210 0 aVL
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22352 0 aVF
E03926.mat 16x1+24 1000.0(0)/mV 16 0 273 -13085 0 V1
E03926.mat 16x1+24 1000.0(0)/mV 16 0 624 -5239 0 V2
E03926.mat 16x1+24 1000.0(0)/mV 16 0 517 -1674 0 V3
E03926.mat 16x1+24 1000.0(0)/mV 16 0 0 1656 0 V4
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -29 25647 0 V5
E03926.mat 16x1+24 1000.0(0)/mV 16 0 -68 -19021 0 V6
# Age: 77
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown