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

File: <base>/training/georgia/g10/E09702.hea (729 bytes) 
E09702 12 500 5000
E09702.mat 16x1+24 1000.0(0)/mV 16 0 -29 29171 0 I
E09702.mat 16x1+24 1000.0(0)/mV 16 0 136 -14148 0 II
E09702.mat 16x1+24 1000.0(0)/mV 16 0 165 22902 0 III
E09702.mat 16x1+24 1000.0(0)/mV 16 0 -53 25156 0 aVR
E09702.mat 16x1+24 1000.0(0)/mV 16 0 -97 -29853 0 aVL
E09702.mat 16x1+24 1000.0(0)/mV 16 0 151 4342 0 aVF
E09702.mat 16x1+24 1000.0(0)/mV 16 0 48 -15874 0 V1
E09702.mat 16x1+24 1000.0(0)/mV 16 0 48 -6873 0 V2
E09702.mat 16x1+24 1000.0(0)/mV 16 0 117 2934 0 V3
E09702.mat 16x1+24 1000.0(0)/mV 16 0 244 -25791 0 V4
E09702.mat 16x1+24 1000.0(0)/mV 16 0 175 -2886 0 V5
E09702.mat 16x1+24 1000.0(0)/mV 16 0 9 3297 0 V6
# Age: 56
# Sex: Male
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown