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

File: <base>/training/georgia/g6/E05343.hea (729 bytes) 
E05343 12 500 5000
E05343.mat 16x1+24 1000.0(0)/mV 16 0 9 -14245 0 I
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1590 -11681 0 II
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1581 2650 0 III
E05343.mat 16x1+24 1000.0(0)/mV 16 0 -800 12921 0 aVR
E05343.mat 16x1+24 1000.0(0)/mV 16 0 -785 -8127 0 aVL
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1586 -4548 0 aVF
E05343.mat 16x1+24 1000.0(0)/mV 16 0 58 31759 0 V1
E05343.mat 16x1+24 1000.0(0)/mV 16 0 849 -698 0 V2
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1298 13687 0 V3
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1249 -26249 0 V4
E05343.mat 16x1+24 1000.0(0)/mV 16 0 1015 -17950 0 V5
E05343.mat 16x1+24 1000.0(0)/mV 16 0 761 27025 0 V6
# Age: 80
# Sex: Male
# Dx: 445118002,270492004
# Rx: Unknown
# Hx: Unknown