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

File: <base>/training/georgia/g9/E08933.hea (729 bytes)
E08933 12 500 5000
E08933.mat 16x1+24 1000.0(0)/mV 16 0 136 -19997 0 I
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22382 0 II
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -175 -2775 0 III
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11542 0 aVR
E08933.mat 16x1+24 1000.0(0)/mV 16 0 156 24374 0 aVL
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12774 0 aVF
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3678 0 V1
E08933.mat 16x1+24 1000.0(0)/mV 16 0 48 -11820 0 V2
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -39 21556 0 V3
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2656 0 V4
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -39 9473 0 V5
E08933.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1088 0 V6
# Age: 63
# Sex: Female
# Dx: 713426002,426177001
# Rx: Unknown
# Hx: Unknown