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

File: <base>/training/georgia/g1/E00949.hea (735 bytes) 
E00949 12 500 5000
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8045 0 I
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -63 -13728 0 II
E00949.mat 16x1+24 1000.0(0)/mV 16 0 4 -5321 0 III
E00949.mat 16x1+24 1000.0(0)/mV 16 0 65 10580 0 aVR
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -36 -1234 0 aVL
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9669 0 aVF
E00949.mat 16x1+24 1000.0(0)/mV 16 0 53 -29321 0 V1
E00949.mat 16x1+24 1000.0(0)/mV 16 0 9 -24842 0 V2
E00949.mat 16x1+24 1000.0(0)/mV 16 0 39 -22971 0 V3
E00949.mat 16x1+24 1000.0(0)/mV 16 0 14 853 0 V4
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7585 0 V5
E00949.mat 16x1+24 1000.0(0)/mV 16 0 -34 890 0 V6
# Age: 53
# Sex: Female
# Dx: 698252002,59931005,164934002,164917005
# Rx: Unknown
# Hx: Unknown