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

File: <base>/training/georgia/g5/E04882.hea (734 bytes)
E04882 12 500 5000
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -126 -20876 0 I
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -107 14197 0 II
E04882.mat 16x1+24 1000.0(0)/mV 16 0 19 -30642 0 III
E04882.mat 16x1+24 1000.0(0)/mV 16 0 117 -29505 0 aVR
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -73 4907 0 aVL
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -43 24570 0 aVF
E04882.mat 16x1+24 1000.0(0)/mV 16 0 146 27438 0 V1
E04882.mat 16x1+24 1000.0(0)/mV 16 0 136 -21213 0 V2
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17392 0 V3
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -175 -23369 0 V4
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -185 -20261 0 V5
E04882.mat 16x1+24 1000.0(0)/mV 16 0 -97 -27239 0 V6
# Age: 79
# Sex: Female
# Dx: 270492004,164889003
# Rx: Unknown
# Hx: Unknown