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

File: <base>/training/georgia/g4/E03737.hea (727 bytes) 
E03737 12 500 5000
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -97 8479 0 I
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -19 16837 0 II
E03737.mat 16x1+24 1000.0(0)/mV 16 0 78 8435 0 III
E03737.mat 16x1+24 1000.0(0)/mV 16 0 58 19983 0 aVR
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -87 452 0 aVL
E03737.mat 16x1+24 1000.0(0)/mV 16 0 29 -19982 0 aVF
E03737.mat 16x1+24 1000.0(0)/mV 16 0 0 -11222 0 V1
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -126 -4350 0 V2
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25586 0 V3
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -58 11840 0 V4
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3725 0 V5
E03737.mat 16x1+24 1000.0(0)/mV 16 0 -48 19755 0 V6
# Age: 74
# Sex: Male
# Dx: 426177001,284470004,284470004
# Rx: Unknown
# Hx: Unknown