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

File: <base>/training/georgia/g2/E01922.hea (721 bytes) 
E01922 12 500 5000
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -78 -21063 0 I
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -146 27517 0 II
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -68 -16789 0 III
E01922.mat 16x1+24 1000.0(0)/mV 16 0 112 -3382 0 aVR
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -4 -2201 0 aVL
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -107 5466 0 aVF
E01922.mat 16x1+24 1000.0(0)/mV 16 0 429 -30714 0 V1
E01922.mat 16x1+24 1000.0(0)/mV 16 0 224 -16247 0 V2
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -107 -8595 0 V3
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -273 666 0 V4
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -244 -19070 0 V5
E01922.mat 16x1+24 1000.0(0)/mV 16 0 -292 26630 0 V6
# Age: 57
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown