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

File: <base>/training/georgia/g9/E08063.hea (713 bytes) 
E08063 12 500 5000
E08063.mat 16x1+24 1000.0(0)/mV 16 0 19 -1362 0 I
E08063.mat 16x1+24 1000.0(0)/mV 16 0 0 4253 0 II
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -19 5532 0 III
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1511 0 aVR
E08063.mat 16x1+24 1000.0(0)/mV 16 0 19 -3120 0 aVL
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -9 5079 0 aVF
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -351 -7618 0 V1
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -419 -19152 0 V2
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -380 -23606 0 V3
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -292 14825 0 V4
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -214 -28447 0 V5
E08063.mat 16x1+24 1000.0(0)/mV 16 0 -126 -26146 0 V6
# Age: 81
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown