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

File: <base>/training/georgia/g5/E04042.hea (736 bytes) 
E04042 12 500 5000
E04042.mat 16x1+24 1000.0(0)/mV 16 0 -87 28678 0 I
E04042.mat 16x1+24 1000.0(0)/mV 16 0 9 20018 0 II
E04042.mat 16x1+24 1000.0(0)/mV 16 0 97 -8543 0 III
E04042.mat 16x1+24 1000.0(0)/mV 16 0 39 -24269 0 aVR
E04042.mat 16x1+24 1000.0(0)/mV 16 0 -92 18659 0 aVL
E04042.mat 16x1+24 1000.0(0)/mV 16 0 53 5712 0 aVF
E04042.mat 16x1+24 1000.0(0)/mV 16 0 68 5651 0 V1
E04042.mat 16x1+24 1000.0(0)/mV 16 0 292 8646 0 V2
E04042.mat 16x1+24 1000.0(0)/mV 16 0 146 23033 0 V3
E04042.mat 16x1+24 1000.0(0)/mV 16 0 126 17970 0 V4
E04042.mat 16x1+24 1000.0(0)/mV 16 0 68 10393 0 V5
E04042.mat 16x1+24 1000.0(0)/mV 16 0 -146 -6596 0 V6
# Age: 79
# Sex: Female
# Dx: 270492004,427393009,284470004,284470004
# Rx: Unknown
# Hx: Unknown