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

File: <base>/training/georgia/g5/E04234.hea (734 bytes) 
E04234 12 500 5000
E04234.mat 16x1+24 1000.0(0)/mV 16 0 19 -22042 0 I
E04234.mat 16x1+24 1000.0(0)/mV 16 0 165 -22380 0 II
E04234.mat 16x1+24 1000.0(0)/mV 16 0 146 509 0 III
E04234.mat 16x1+24 1000.0(0)/mV 16 0 -92 22490 0 aVR
E04234.mat 16x1+24 1000.0(0)/mV 16 0 -63 -11312 0 aVL
E04234.mat 16x1+24 1000.0(0)/mV 16 0 156 -10932 0 aVF
E04234.mat 16x1+24 1000.0(0)/mV 16 0 107 25354 0 V1
E04234.mat 16x1+24 1000.0(0)/mV 16 0 292 23120 0 V2
E04234.mat 16x1+24 1000.0(0)/mV 16 0 283 -6189 0 V3
E04234.mat 16x1+24 1000.0(0)/mV 16 0 234 -25352 0 V4
E04234.mat 16x1+24 1000.0(0)/mV 16 0 58 29564 0 V5
E04234.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15387 0 V6
# Age: 77
# Sex: Male
# Dx: 427084000,425623009,164934002
# Rx: Unknown
# Hx: Unknown