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

File: <base>/training/georgia/g4/E03983.hea (706 bytes) 
E03983 12 500 5000
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -117 -3695 0 I
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -146 -5875 0 II
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2368 0 III
E03983.mat 16x1+24 1000.0(0)/mV 16 0 131 -28148 0 aVR
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -43 -590 0 aVL
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -87 28464 0 aVF
E03983.mat 16x1+24 1000.0(0)/mV 16 0 107 -4142 0 V1
E03983.mat 16x1+24 1000.0(0)/mV 16 0 78 -3631 0 V2
E03983.mat 16x1+24 1000.0(0)/mV 16 0 58 -372 0 V3
E03983.mat 16x1+24 1000.0(0)/mV 16 0 9 6256 0 V4
E03983.mat 16x1+24 1000.0(0)/mV 16 0 9 26587 0 V5
E03983.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5730 0 V6
# Age: 55
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown