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

File: <base>/training/georgia/g6/E05952.hea (718 bytes) 
E05952 12 500 5000
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -78 -22554 0 I
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -102 31180 0 II
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -24 -11933 0 III
E05952.mat 16x1+24 1000.0(0)/mV 16 0 90 28265 0 aVR
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -26 -4855 0 aVL
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -63 -22914 0 aVF
E05952.mat 16x1+24 1000.0(0)/mV 16 0 9 24970 0 V1
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -112 -12442 0 V2
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -53 -14361 0 V3
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -14 -9112 0 V4
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3781 0 V5
E05952.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24215 0 V6
# Age: 66
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown