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

File: <base>/training/georgia/g9/E08615.hea (724 bytes) 
E08615 12 500 5000
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25287 0 I
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -185 -24181 0 II
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -136 1646 0 III
E08615.mat 16x1+24 1000.0(0)/mV 16 0 117 24653 0 aVR
E08615.mat 16x1+24 1000.0(0)/mV 16 0 43 -13646 0 aVL
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -161 -11293 0 aVF
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13708 0 V1
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -29 20829 0 V2
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -165 -14182 0 V3
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -204 -10240 0 V4
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -87 -14502 0 V5
E08615.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31778 0 V6
# Age: 62
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown