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

File: <base>/training/georgia/g10/E09685.hea (733 bytes) 
E09685 12 500 5000
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26682 0 I
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -156 -17955 0 II
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -126 8832 0 III
E09685.mat 16x1+24 1000.0(0)/mV 16 0 92 22180 0 aVR
E09685.mat 16x1+24 1000.0(0)/mV 16 0 48 -17745 0 aVL
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -141 -4809 0 aVF
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13109 0 V1
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -87 31770 0 V2
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -117 24631 0 V3
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -175 24519 0 V4
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -204 -28524 0 V5
E09685.mat 16x1+24 1000.0(0)/mV 16 0 -234 29595 0 V6
# Age: 71
# Sex: Female
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown