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

File: <base>/training/georgia/g6/E05773.hea (731 bytes) 
E05773 12 500 5000
E05773.mat 16x1+24 1000.0(0)/mV 16 0 224 -30586 0 I
E05773.mat 16x1+24 1000.0(0)/mV 16 0 0 18724 0 II
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -224 -16048 0 III
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -112 -26689 0 aVR
E05773.mat 16x1+24 1000.0(0)/mV 16 0 224 -7355 0 aVL
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -112 -31098 0 aVF
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -48 22909 0 V1
E05773.mat 16x1+24 1000.0(0)/mV 16 0 19 -8883 0 V2
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20587 0 V3
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -361 -26315 0 V4
E05773.mat 16x1+24 1000.0(0)/mV 16 0 204 -26392 0 V5
E05773.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18934 0 V6
# Age: 77
# Sex: Female
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown