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

File: <base>/training/georgia/g5/E04183.hea (707 bytes) 
E04183 12 500 5000
E04183.mat 16x1+24 1000.0(0)/mV 16 0 9 -29001 0 I
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -92 -15788 0 II
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -102 14114 0 III
E04183.mat 16x1+24 1000.0(0)/mV 16 0 41 -10265 0 aVR
E04183.mat 16x1+24 1000.0(0)/mV 16 0 56 -21850 0 aVL
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -97 31917 0 aVF
E04183.mat 16x1+24 1000.0(0)/mV 16 0 0 20872 0 V1
E04183.mat 16x1+24 1000.0(0)/mV 16 0 9 24056 0 V2
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -92 24667 0 V3
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -112 12240 0 V4
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -58 663 0 V5
E04183.mat 16x1+24 1000.0(0)/mV 16 0 -43 16446 0 V6
# Age: 74
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown