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

File: <base>/training/georgia/g1/E00309.hea (713 bytes) 
E00309 12 500 5000
E00309.mat 16x1+24 1000.0(0)/mV 16 0 19 -18897 0 I
E00309.mat 16x1+24 1000.0(0)/mV 16 0 39 -18886 0 II
E00309.mat 16x1+24 1000.0(0)/mV 16 0 19 199 0 III
E00309.mat 16x1+24 1000.0(0)/mV 16 0 -29 18837 0 aVR
E00309.mat 16x1+24 1000.0(0)/mV 16 0 0 -9330 0 aVL
E00309.mat 16x1+24 1000.0(0)/mV 16 0 29 -9298 0 aVF
E00309.mat 16x1+24 1000.0(0)/mV 16 0 9 3920 0 V1
E00309.mat 16x1+24 1000.0(0)/mV 16 0 97 1378 0 V2
E00309.mat 16x1+24 1000.0(0)/mV 16 0 -117 -21142 0 V3
E00309.mat 16x1+24 1000.0(0)/mV 16 0 -48 1554 0 V4
E00309.mat 16x1+24 1000.0(0)/mV 16 0 -29 16667 0 V5
E00309.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17032 0 V6
# Age: 40
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown