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

File: <base>/training/georgia/g10/E09956.hea (734 bytes) 
E09956 12 500 5000
E09956.mat 16x1+24 1000.0(0)/mV 16 0 117 -21774 0 I
E09956.mat 16x1+24 1000.0(0)/mV 16 0 136 -23910 0 II
E09956.mat 16x1+24 1000.0(0)/mV 16 0 19 -1757 0 III
E09956.mat 16x1+24 1000.0(0)/mV 16 0 -126 22528 0 aVR
E09956.mat 16x1+24 1000.0(0)/mV 16 0 48 -10026 0 aVL
E09956.mat 16x1+24 1000.0(0)/mV 16 0 78 -12635 0 aVF
E09956.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14878 0 V1
E09956.mat 16x1+24 1000.0(0)/mV 16 0 244 31194 0 V2
E09956.mat 16x1+24 1000.0(0)/mV 16 0 292 25841 0 V3
E09956.mat 16x1+24 1000.0(0)/mV 16 0 312 3761 0 V4
E09956.mat 16x1+24 1000.0(0)/mV 16 0 283 -10900 0 V5
E09956.mat 16x1+24 1000.0(0)/mV 16 0 146 26219 0 V6
# Age: 73
# Sex: Male
# Dx: 713426002,39732003,426177001
# Rx: Unknown
# Hx: Unknown