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

File: <base>/training/georgia/g10/E09897.hea (721 bytes) 
E09897 12 500 5000
E09897.mat 16x1+24 1000.0(0)/mV 16 0 4 -24242 0 I
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23751 0 II
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -63 778 0 III
E09897.mat 16x1+24 1000.0(0)/mV 16 0 26 -8909 0 aVR
E09897.mat 16x1+24 1000.0(0)/mV 16 0 34 -12651 0 aVL
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -61 21334 0 aVF
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -48 30105 0 V1
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16157 0 V2
E09897.mat 16x1+24 1000.0(0)/mV 16 0 53 -6792 0 V3
E09897.mat 16x1+24 1000.0(0)/mV 16 0 9 -2111 0 V4
E09897.mat 16x1+24 1000.0(0)/mV 16 0 -14 2701 0 V5
E09897.mat 16x1+24 1000.0(0)/mV 16 0 9 13345 0 V6
# Age: 59
# Sex: Female
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown