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

File: <base>/training/georgia/g1/E00953.hea (719 bytes) 
E00953 12 500 5000
E00953.mat 16x1+24 1000.0(0)/mV 16 0 624 -31633 0 I
E00953.mat 16x1+24 1000.0(0)/mV 16 0 985 -522 0 II
E00953.mat 16x1+24 1000.0(0)/mV 16 0 361 31853 0 III
E00953.mat 16x1+24 1000.0(0)/mV 16 0 -805 16014 0 aVR
E00953.mat 16x1+24 1000.0(0)/mV 16 0 131 -32098 0 aVL
E00953.mat 16x1+24 1000.0(0)/mV 16 0 673 15869 0 aVF
E00953.mat 16x1+24 1000.0(0)/mV 16 0 -790 25105 0 V1
E00953.mat 16x1+24 1000.0(0)/mV 16 0 -839 19800 0 V2
E00953.mat 16x1+24 1000.0(0)/mV 16 0 -273 4735 0 V3
E00953.mat 16x1+24 1000.0(0)/mV 16 0 292 -22195 0 V4
E00953.mat 16x1+24 1000.0(0)/mV 16 0 585 -15247 0 V5
E00953.mat 16x1+24 1000.0(0)/mV 16 0 683 6253 0 V6
# Age: 46
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown