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

File: <base>/training/georgia/g10/E09492.hea (719 bytes) 
E09492 12 500 5000
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -9 10370 0 I
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -29 10596 0 II
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -19 651 0 III
E09492.mat 16x1+24 1000.0(0)/mV 16 0 19 21767 0 aVR
E09492.mat 16x1+24 1000.0(0)/mV 16 0 4 -28733 0 aVL
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -24 5633 0 aVF
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8062 0 V1
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -19 31128 0 V2
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -87 27619 0 V3
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -97 -17422 0 V4
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19102 0 V5
E09492.mat 16x1+24 1000.0(0)/mV 16 0 -58 10646 0 V6
# Age: 77
# Sex: Male
# Dx: 270492004,164873001
# Rx: Unknown
# Hx: Unknown