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

File: <base>/training/georgia/g5/E04943.hea (746 bytes) 
E04943 12 500 5000
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10146 0 I
E04943.mat 16x1+24 1000.0(0)/mV 16 0 29 -13288 0 II
E04943.mat 16x1+24 1000.0(0)/mV 16 0 68 -2201 0 III
E04943.mat 16x1+24 1000.0(0)/mV 16 0 4 11865 0 aVR
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -53 -4001 0 aVL
E04943.mat 16x1+24 1000.0(0)/mV 16 0 48 -7797 0 aVF
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -214 -3735 0 V1
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15396 0 V2
E04943.mat 16x1+24 1000.0(0)/mV 16 0 927 -6996 0 V3
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14 0 V4
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -4 -16312 0 V5
E04943.mat 16x1+24 1000.0(0)/mV 16 0 -29 32513 0 V6
# Age: 75
# Sex: Male
# Dx: 59118001,164889003,39732003,425623009,427084000
# Rx: Unknown
# Hx: Unknown