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

File: <base>/training/georgia/g1/E00537.hea (719 bytes) 
E00537 12 500 5000
E00537.mat 16x1+24 1000.0(0)/mV 16 0 29 6225 0 I
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12555 0 II
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18728 0 III
E00537.mat 16x1+24 1000.0(0)/mV 16 0 0 -29844 0 aVR
E00537.mat 16x1+24 1000.0(0)/mV 16 0 43 12557 0 aVL
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -43 17296 0 aVF
E00537.mat 16x1+24 1000.0(0)/mV 16 0 29 -10785 0 V1
E00537.mat 16x1+24 1000.0(0)/mV 16 0 126 23822 0 V2
E00537.mat 16x1+24 1000.0(0)/mV 16 0 68 -31927 0 V3
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12693 0 V4
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -195 4679 0 V5
E00537.mat 16x1+24 1000.0(0)/mV 16 0 -78 9554 0 V6
# Age: 59
# Sex: Male
# Dx: 164889003,59931005
# Rx: Unknown
# Hx: Unknown