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

File: <base>/training/georgia/g5/E04930.hea (712 bytes) 
E04930 12 500 5000
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -43 -18377 0 I
E04930.mat 16x1+24 1000.0(0)/mV 16 0 4 26812 0 II
E04930.mat 16x1+24 1000.0(0)/mV 16 0 48 -20802 0 III
E04930.mat 16x1+24 1000.0(0)/mV 16 0 19 -4185 0 aVR
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -46 -30905 0 aVL
E04930.mat 16x1+24 1000.0(0)/mV 16 0 26 -29620 0 aVF
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -200 -3499 0 V1
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -185 -8844 0 V2
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -117 725 0 V3
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -87 28959 0 V4
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -68 15953 0 V5
E04930.mat 16x1+24 1000.0(0)/mV 16 0 -78 27498 0 V6
# Age: 67
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown