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

File: <base>/training/georgia/g2/E01455.hea (708 bytes) 
E01455 12 500 5000
E01455.mat 16x1+24 1000.0(0)/mV 16 0 39 14574 0 I
E01455.mat 16x1+24 1000.0(0)/mV 16 0 58 -25345 0 II
E01455.mat 16x1+24 1000.0(0)/mV 16 0 19 25212 0 III
E01455.mat 16x1+24 1000.0(0)/mV 16 0 -48 -27467 0 aVR
E01455.mat 16x1+24 1000.0(0)/mV 16 0 9 27595 0 aVL
E01455.mat 16x1+24 1000.0(0)/mV 16 0 39 227 0 aVF
E01455.mat 16x1+24 1000.0(0)/mV 16 0 -58 21154 0 V1
E01455.mat 16x1+24 1000.0(0)/mV 16 0 107 -3038 0 V2
E01455.mat 16x1+24 1000.0(0)/mV 16 0 117 5219 0 V3
E01455.mat 16x1+24 1000.0(0)/mV 16 0 126 -12350 0 V4
E01455.mat 16x1+24 1000.0(0)/mV 16 0 107 -22346 0 V5
E01455.mat 16x1+24 1000.0(0)/mV 16 0 107 -10615 0 V6
# Age: 68
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown