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

File: <base>/training/georgia/g10/E09384.hea (718 bytes) 
E09384 12 500 5000
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -97 23722 0 I
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -24 2448 0 II
E09384.mat 16x1+24 1000.0(0)/mV 16 0 73 -21099 0 III
E09384.mat 16x1+24 1000.0(0)/mV 16 0 61 -13294 0 aVR
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -85 22324 0 aVL
E09384.mat 16x1+24 1000.0(0)/mV 16 0 24 -9268 0 aVF
E09384.mat 16x1+24 1000.0(0)/mV 16 0 9 -14462 0 V1
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14712 0 V2
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -58 25505 0 V3
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -68 22954 0 V4
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -58 5812 0 V5
E09384.mat 16x1+24 1000.0(0)/mV 16 0 -63 -1076 0 V6
# Age: 73
# Sex: Male
# Dx: 698252002,47665007
# Rx: Unknown
# Hx: Unknown