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

File: <base>/training/georgia/g10/E09125.hea (746 bytes) 
E09125 12 500 5000
E09125.mat 16x1+24 1000.0(0)/mV 16 0 -58 30079 0 I
E09125.mat 16x1+24 1000.0(0)/mV 16 0 48 25307 0 II
E09125.mat 16x1+24 1000.0(0)/mV 16 0 107 -4531 0 III
E09125.mat 16x1+24 1000.0(0)/mV 16 0 4 5157 0 aVR
E09125.mat 16x1+24 1000.0(0)/mV 16 0 -82 17921 0 aVL
E09125.mat 16x1+24 1000.0(0)/mV 16 0 78 -22528 0 aVF
E09125.mat 16x1+24 1000.0(0)/mV 16 0 39 2144 0 V1
E09125.mat 16x1+24 1000.0(0)/mV 16 0 29 11669 0 V2
E09125.mat 16x1+24 1000.0(0)/mV 16 0 175 -21763 0 V3
E09125.mat 16x1+24 1000.0(0)/mV 16 0 195 -22406 0 V4
E09125.mat 16x1+24 1000.0(0)/mV 16 0 136 -13545 0 V5
E09125.mat 16x1+24 1000.0(0)/mV 16 0 48 30373 0 V6
# Age: 75
# Sex: Male
# Dx: 39732003,426177001,425419005,427393009,164934002
# Rx: Unknown
# Hx: Unknown