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

File: <base>/training/georgia/g10/E09968.hea (721 bytes) 
E09968 12 500 5000
E09968.mat 16x1+24 1000.0(0)/mV 16 0 204 -8381 0 I
E09968.mat 16x1+24 1000.0(0)/mV 16 0 224 -28761 0 II
E09968.mat 16x1+24 1000.0(0)/mV 16 0 19 -19111 0 III
E09968.mat 16x1+24 1000.0(0)/mV 16 0 -214 18607 0 aVR
E09968.mat 16x1+24 1000.0(0)/mV 16 0 92 6475 0 aVL
E09968.mat 16x1+24 1000.0(0)/mV 16 0 122 -23898 0 aVF
E09968.mat 16x1+24 1000.0(0)/mV 16 0 87 5443 0 V1
E09968.mat 16x1+24 1000.0(0)/mV 16 0 575 2608 0 V2
E09968.mat 16x1+24 1000.0(0)/mV 16 0 292 -6033 0 V3
E09968.mat 16x1+24 1000.0(0)/mV 16 0 292 -32640 0 V4
E09968.mat 16x1+24 1000.0(0)/mV 16 0 204 20929 0 V5
E09968.mat 16x1+24 1000.0(0)/mV 16 0 117 -30110 0 V6
# Age: 52
# Sex: Male
# Dx: 426177001,59931005
# Rx: Unknown
# Hx: Unknown