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

File: <base>/training/georgia/g10/E09983.hea (711 bytes) 
E09983 12 500 2500
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3673 0 I
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -78 -14478 0 II
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10571 0 III
E09983.mat 16x1+24 1000.0(0)/mV 16 0 63 9149 0 aVR
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -9 3357 0 aVL
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -53 -12546 0 aVF
E09983.mat 16x1+24 1000.0(0)/mV 16 0 39 -6453 0 V1
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -58 -1121 0 V2
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -29 2102 0 V3
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12938 0 V4
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4185 0 V5
E09983.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13641 0 V6
# Age: 61
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown