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

File: <base>/training/georgia/g9/E08096.hea (730 bytes) 
E08096 12 500 5000
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -58 -19622 0 I
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -58 10264 0 II
E08096.mat 16x1+24 1000.0(0)/mV 16 0 0 29837 0 III
E08096.mat 16x1+24 1000.0(0)/mV 16 0 58 4308 0 aVR
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24555 0 aVL
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -29 19749 0 aVF
E08096.mat 16x1+24 1000.0(0)/mV 16 0 48 -7541 0 V1
E08096.mat 16x1+24 1000.0(0)/mV 16 0 58 -544 0 V2
E08096.mat 16x1+24 1000.0(0)/mV 16 0 87 -9596 0 V3
E08096.mat 16x1+24 1000.0(0)/mV 16 0 0 -636 0 V4
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10216 0 V5
E08096.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25994 0 V6
# Age: 42
# Sex: Male
# Dx: 67741000119109,426177001,164934002
# Rx: Unknown
# Hx: Unknown