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

File: <base>/training/georgia/g10/E09963.hea (732 bytes) 
E09963 12 500 5000
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -87 -15835 0 I
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -4 11396 0 II
E09963.mat 16x1+24 1000.0(0)/mV 16 0 82 27485 0 III
E09963.mat 16x1+24 1000.0(0)/mV 16 0 46 -30520 0 aVR
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -85 10964 0 aVL
E09963.mat 16x1+24 1000.0(0)/mV 16 0 39 19488 0 aVF
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -24 31553 0 V1
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13280 0 V2
E09963.mat 16x1+24 1000.0(0)/mV 16 0 58 28280 0 V3
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -9 24374 0 V4
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -19 11025 0 V5
E09963.mat 16x1+24 1000.0(0)/mV 16 0 -24 15120 0 V6
# Age: NaN
# Sex: Female
# Dx: 428750005,195126007,427084000
# Rx: Unknown
# Hx: Unknown