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

File: <base>/training/georgia/g10/E09485.hea (727 bytes) 
E09485 12 500 5000
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -58 411 0 I
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -224 2485 0 II
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -165 2999 0 III
E09485.mat 16x1+24 1000.0(0)/mV 16 0 141 -1550 0 aVR
E09485.mat 16x1+24 1000.0(0)/mV 16 0 53 -2041 0 aVL
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -195 2812 0 aVF
E09485.mat 16x1+24 1000.0(0)/mV 16 0 136 -23601 0 V1
E09485.mat 16x1+24 1000.0(0)/mV 16 0 78 7536 0 V2
E09485.mat 16x1+24 1000.0(0)/mV 16 0 117 20879 0 V3
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -48 11462 0 V4
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -78 25113 0 V5
E09485.mat 16x1+24 1000.0(0)/mV 16 0 -87 6117 0 V6
# Age: 75
# Sex: Male
# Dx: 427393009,164890007,111975006
# Rx: Unknown
# Hx: Unknown