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

File: <base>/training/georgia/g2/E01908.hea (711 bytes) 
E01908 12 500 5000
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -78 685 0 I
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20458 0 II
E01908.mat 16x1+24 1000.0(0)/mV 16 0 39 -21842 0 III
E01908.mat 16x1+24 1000.0(0)/mV 16 0 58 9941 0 aVR
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -58 11230 0 aVL
E01908.mat 16x1+24 1000.0(0)/mV 16 0 0 -21445 0 aVF
E01908.mat 16x1+24 1000.0(0)/mV 16 0 48 -13267 0 V1
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -68 29279 0 V2
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -68 18745 0 V3
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27379 0 V4
E01908.mat 16x1+24 1000.0(0)/mV 16 0 68 -11884 0 V5
E01908.mat 16x1+24 1000.0(0)/mV 16 0 -126 -20916 0 V6
# Age: 77
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown