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

File: <base>/training/georgia/g10/E09417.hea (734 bytes) 
E09417 12 500 5000
E09417.mat 16x1+24 1000.0(0)/mV 16 0 -78 -32735 0 I
E09417.mat 16x1+24 1000.0(0)/mV 16 0 -19 29493 0 II
E09417.mat 16x1+24 1000.0(0)/mV 16 0 58 -3175 0 III
E09417.mat 16x1+24 1000.0(0)/mV 16 0 48 -31358 0 aVR
E09417.mat 16x1+24 1000.0(0)/mV 16 0 -68 18047 0 aVL
E09417.mat 16x1+24 1000.0(0)/mV 16 0 19 13252 0 aVF
E09417.mat 16x1+24 1000.0(0)/mV 16 0 234 -21734 0 V1
E09417.mat 16x1+24 1000.0(0)/mV 16 0 204 29343 0 V2
E09417.mat 16x1+24 1000.0(0)/mV 16 0 136 -9900 0 V3
E09417.mat 16x1+24 1000.0(0)/mV 16 0 361 18545 0 V4
E09417.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15166 0 V5
E09417.mat 16x1+24 1000.0(0)/mV 16 0 -87 -11624 0 V6
# Age: 56
# Sex: Male
# Dx: 425623009,164934002,111975006
# Rx: Unknown
# Hx: Unknown