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

File: <base>/training/georgia/g10/E09320.hea (715 bytes) 
E09320 12 500 5000
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -24 -2636 0 I
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7253 0 II
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4671 0 III
E09320.mat 16x1+24 1000.0(0)/mV 16 0 26 4376 0 aVR
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -9 1082 0 aVL
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -17 -5554 0 aVF
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13116 0 V1
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -39 8020 0 V2
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -43 -6165 0 V3
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9022 0 V4
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -43 6095 0 V5
E09320.mat 16x1+24 1000.0(0)/mV 16 0 -34 5153 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001,284470004
# Rx: Unknown
# Hx: Unknown