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

File: <base>/training/georgia/g4/E03862.hea (713 bytes)
E03862 12 500 5000
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24548 0 I
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -68 -19013 0 II
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -39 6260 0 III
E03862.mat 16x1+24 1000.0(0)/mV 16 0 48 -11064 0 aVR
E03862.mat 16x1+24 1000.0(0)/mV 16 0 4 16956 0 aVL
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -53 -6318 0 aVF
E03862.mat 16x1+24 1000.0(0)/mV 16 0 0 -11477 0 V1
E03862.mat 16x1+24 1000.0(0)/mV 16 0 29 12958 0 V2
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15180 0 V3
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2735 0 V4
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -87 5973 0 V5
E03862.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19490 0 V6
# Age: 79
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown