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

File: <base>/training/georgia/g6/E05923.hea (774 bytes) 
E05923 12 500 5000
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -48 15268 0 I
E05923.mat 16x1+24 1000.0(0)/mV 16 0 87 7890 0 II
E05923.mat 16x1+24 1000.0(0)/mV 16 0 136 -6559 0 III
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -19 20470 0 aVR
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -92 -21910 0 aVL
E05923.mat 16x1+24 1000.0(0)/mV 16 0 112 611 0 aVF
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -117 -25408 0 V1
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -117 24134 0 V2
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -87 -22371 0 V3
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -78 19634 0 V4
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -97 -15680 0 V5
E05923.mat 16x1+24 1000.0(0)/mV 16 0 -117 4280 0 V6
# Age: 72
# Sex: Male
# Dx: 111975006,164930006,425623009,164934002,164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown