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

File: <base>/training/georgia/g10/E09283.hea (720 bytes) 
E09283 12 500 5000
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -24 7618 0 I
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10572 0 II
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -14 -18282 0 III
E09283.mat 16x1+24 1000.0(0)/mV 16 0 31 1415 0 aVR
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -4 13475 0 aVL
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -26 -14241 0 aVF
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -19 5369 0 V1
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -82 3041 0 V2
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14114 0 V3
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -24 9041 0 V4
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2153 0 V5
E09283.mat 16x1+24 1000.0(0)/mV 16 0 -14 -10938 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown