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

File: <base>/training/georgia/g6/E05732.hea (707 bytes) 
E05732 12 500 5000
E05732.mat 16x1+24 1000.0(0)/mV 16 0 9 29401 0 I
E05732.mat 16x1+24 1000.0(0)/mV 16 0 9 -31824 0 II
E05732.mat 16x1+24 1000.0(0)/mV 16 0 0 4300 0 III
E05732.mat 16x1+24 1000.0(0)/mV 16 0 -9 -31534 0 aVR
E05732.mat 16x1+24 1000.0(0)/mV 16 0 4 12825 0 aVL
E05732.mat 16x1+24 1000.0(0)/mV 16 0 4 19265 0 aVF
E05732.mat 16x1+24 1000.0(0)/mV 16 0 117 18541 0 V1
E05732.mat 16x1+24 1000.0(0)/mV 16 0 165 -2308 0 V2
E05732.mat 16x1+24 1000.0(0)/mV 16 0 97 25548 0 V3
E05732.mat 16x1+24 1000.0(0)/mV 16 0 39 -2224 0 V4
E05732.mat 16x1+24 1000.0(0)/mV 16 0 9 10768 0 V5
E05732.mat 16x1+24 1000.0(0)/mV 16 0 -9 14450 0 V6
# Age: 40
# Sex: Male
# Dx: 426177001,427393009
# Rx: Unknown
# Hx: Unknown