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

File: <base>/training/georgia/g9/E08792.hea (713 bytes) 
E08792 12 500 5000
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -29 23553 0 I
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -39 30754 0 II
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -9 7369 0 III
E08792.mat 16x1+24 1000.0(0)/mV 16 0 34 -27476 0 aVR
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24646 0 aVL
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -24 -13754 0 aVF
E08792.mat 16x1+24 1000.0(0)/mV 16 0 0 -23097 0 V1
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28598 0 V2
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16412 0 V3
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -39 3692 0 V4
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -68 1248 0 V5
E08792.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23429 0 V6
# Age: 67
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown