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

File: <base>/training/georgia/g7/E06715.hea (736 bytes) 
E06715 12 500 5000
E06715.mat 16x1+24 1000.0(0)/mV 16 0 -87 15608 0 I
E06715.mat 16x1+24 1000.0(0)/mV 16 0 97 -23530 0 II
E06715.mat 16x1+24 1000.0(0)/mV 16 0 185 26546 0 III
E06715.mat 16x1+24 1000.0(0)/mV 16 0 -4 3977 0 aVR
E06715.mat 16x1+24 1000.0(0)/mV 16 0 -136 -5177 0 aVL
E06715.mat 16x1+24 1000.0(0)/mV 16 0 141 1544 0 aVF
E06715.mat 16x1+24 1000.0(0)/mV 16 0 341 6419 0 V1
E06715.mat 16x1+24 1000.0(0)/mV 16 0 819 -8834 0 V2
E06715.mat 16x1+24 1000.0(0)/mV 16 0 663 19050 0 V3
E06715.mat 16x1+24 1000.0(0)/mV 16 0 546 -29664 0 V4
E06715.mat 16x1+24 1000.0(0)/mV 16 0 331 -19618 0 V5
E06715.mat 16x1+24 1000.0(0)/mV 16 0 97 -1826 0 V6
# Age: 73
# Sex: Male
# Dx: 164909002,39732003,6374002,59931005
# Rx: Unknown
# Hx: Unknown