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

File: <base>/training/georgia/g5/E04945.hea (715 bytes) 
E04945 12 500 5000
E04945.mat 16x1+24 1000.0(0)/mV 16 0 39 4821 0 I
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -136 -32450 0 II
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -175 28251 0 III
E04945.mat 16x1+24 1000.0(0)/mV 16 0 48 13624 0 aVR
E04945.mat 16x1+24 1000.0(0)/mV 16 0 107 -11129 0 aVL
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -156 -2150 0 aVF
E04945.mat 16x1+24 1000.0(0)/mV 16 0 0 -26057 0 V1
E04945.mat 16x1+24 1000.0(0)/mV 16 0 9 -15359 0 V2
E04945.mat 16x1+24 1000.0(0)/mV 16 0 97 29037 0 V3
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -146 -13816 0 V4
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -107 12771 0 V5
E04945.mat 16x1+24 1000.0(0)/mV 16 0 -87 -32085 0 V6
# Age: 64
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown