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

File: <base>/training/georgia/g7/E06643.hea (713 bytes) 
E06643 12 500 5000
E06643.mat 16x1+24 1000.0(0)/mV 16 0 29 2692 0 I
E06643.mat 16x1+24 1000.0(0)/mV 16 0 -14 7929 0 II
E06643.mat 16x1+24 1000.0(0)/mV 16 0 -43 5595 0 III
E06643.mat 16x1+24 1000.0(0)/mV 16 0 -7 -5733 0 aVR
E06643.mat 16x1+24 1000.0(0)/mV 16 0 36 -1490 0 aVL
E06643.mat 16x1+24 1000.0(0)/mV 16 0 -29 6378 0 aVF
E06643.mat 16x1+24 1000.0(0)/mV 16 0 19 -22188 0 V1
E06643.mat 16x1+24 1000.0(0)/mV 16 0 165 -1508 0 V2
E06643.mat 16x1+24 1000.0(0)/mV 16 0 214 -9389 0 V3
E06643.mat 16x1+24 1000.0(0)/mV 16 0 117 -8579 0 V4
E06643.mat 16x1+24 1000.0(0)/mV 16 0 58 -7346 0 V5
E06643.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12998 0 V6
# Age: 60
# Sex: Male
# Dx: 428750005,59931005
# Rx: Unknown
# Hx: Unknown