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

File: <base>/training/georgia/g6/E05815.hea (751 bytes) 
E05815 12 500 5000
E05815.mat 16x1+24 1000.0(0)/mV 16 0 -180 -16426 0 I
E05815.mat 16x1+24 1000.0(0)/mV 16 0 -68 -22914 0 II
E05815.mat 16x1+24 1000.0(0)/mV 16 0 112 -6276 0 III
E05815.mat 16x1+24 1000.0(0)/mV 16 0 124 19319 0 aVR
E05815.mat 16x1+24 1000.0(0)/mV 16 0 -146 -4717 0 aVL
E05815.mat 16x1+24 1000.0(0)/mV 16 0 21 -14514 0 aVF
E05815.mat 16x1+24 1000.0(0)/mV 16 0 141 5639 0 V1
E05815.mat 16x1+24 1000.0(0)/mV 16 0 126 14677 0 V2
E05815.mat 16x1+24 1000.0(0)/mV 16 0 92 10396 0 V3
E05815.mat 16x1+24 1000.0(0)/mV 16 0 19 14576 0 V4
E05815.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3037 0 V5
E05815.mat 16x1+24 1000.0(0)/mV 16 0 -4 25099 0 V6
# Age: 69
# Sex: Male
# Dx: 39732003,427084000,425623009,164934002,164930006
# Rx: Unknown
# Hx: Unknown