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

File: <base>/training/georgia/g4/E03993.hea (708 bytes) 
E03993 12 500 5000
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -78 21336 0 I
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -87 22267 0 II
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -9 1701 0 III
E03993.mat 16x1+24 1000.0(0)/mV 16 0 82 -22046 0 aVR
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -34 9496 0 aVL
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -48 12042 0 aVF
E03993.mat 16x1+24 1000.0(0)/mV 16 0 39 2406 0 V1
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -58 10502 0 V2
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -97 11795 0 V3
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -175 -8061 0 V4
E03993.mat 16x1+24 1000.0(0)/mV 16 0 -126 -4800 0 V5
E03993.mat 16x1+24 1000.0(0)/mV 16 0 19 27692 0 V6
# Age: 72
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown