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

File: <base>/training/georgia/g10/E09942.hea (710 bytes) 
E09942 12 500 5000
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -58 20158 0 I
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -48 -98 0 II
E09942.mat 16x1+24 1000.0(0)/mV 16 0 9 -19835 0 III
E09942.mat 16x1+24 1000.0(0)/mV 16 0 53 -10052 0 aVR
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -34 -12162 0 aVL
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -19 23468 0 aVF
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -9 24736 0 V1
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -68 30460 0 V2
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4465 0 V3
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -68 19889 0 V4
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29363 0 V5
E09942.mat 16x1+24 1000.0(0)/mV 16 0 -58 24674 0 V6
# Age: 77
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown