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

File: <base>/training/georgia/g2/E01785.hea (719 bytes) 
E01785 12 500 5000
E01785.mat 16x1+24 1000.0(0)/mV 16 0 39 -17947 0 I
E01785.mat 16x1+24 1000.0(0)/mV 16 0 39 18953 0 II
E01785.mat 16x1+24 1000.0(0)/mV 16 0 0 -27650 0 III
E01785.mat 16x1+24 1000.0(0)/mV 16 0 -39 -530 0 aVR
E01785.mat 16x1+24 1000.0(0)/mV 16 0 19 3993 0 aVL
E01785.mat 16x1+24 1000.0(0)/mV 16 0 19 -4478 0 aVF
E01785.mat 16x1+24 1000.0(0)/mV 16 0 19 -7575 0 V1
E01785.mat 16x1+24 1000.0(0)/mV 16 0 48 -11021 0 V2
E01785.mat 16x1+24 1000.0(0)/mV 16 0 58 -24135 0 V3
E01785.mat 16x1+24 1000.0(0)/mV 16 0 58 17386 0 V4
E01785.mat 16x1+24 1000.0(0)/mV 16 0 78 9582 0 V5
E01785.mat 16x1+24 1000.0(0)/mV 16 0 19 6527 0 V6
# Age: 75
# Sex: Male
# Dx: 425419005,59931005,164934002
# Rx: Unknown
# Hx: Unknown