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

File: <base>/training/georgia/g1/E00956.hea (741 bytes) 
E00956 12 500 5000
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22900 0 I
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -78 23221 0 II
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19024 0 III
E00956.mat 16x1+24 1000.0(0)/mV 16 0 53 32349 0 aVR
E00956.mat 16x1+24 1000.0(0)/mV 16 0 9 -1432 0 aVL
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -63 -30693 0 aVF
E00956.mat 16x1+24 1000.0(0)/mV 16 0 58 -19951 0 V1
E00956.mat 16x1+24 1000.0(0)/mV 16 0 29 9540 0 V2
E00956.mat 16x1+24 1000.0(0)/mV 16 0 29 -12960 0 V3
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -9 6659 0 V4
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -68 -18516 0 V5
E00956.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1878 0 V6
# Age: 73
# Sex: Female
# Dx: 426434006,426177001,164934002,164873001
# Rx: Unknown
# Hx: Unknown