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

File: <base>/training/georgia/g1/E00802.hea (707 bytes) 
E00802 12 500 5000
E00802.mat 16x1+24 1000.0(0)/mV 16 0 63 -29775 0 I
E00802.mat 16x1+24 1000.0(0)/mV 16 0 63 -4578 0 II
E00802.mat 16x1+24 1000.0(0)/mV 16 0 0 26120 0 III
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -63 17121 0 aVR
E00802.mat 16x1+24 1000.0(0)/mV 16 0 31 -27795 0 aVL
E00802.mat 16x1+24 1000.0(0)/mV 16 0 31 10778 0 aVF
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -48 10157 0 V1
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -43 28734 0 V2
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -87 16327 0 V3
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -29 16854 0 V4
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -58 2718 0 V5
E00802.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8607 0 V6
# Age: 57
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown