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

File: <base>/training/georgia/g10/E09969.hea (711 bytes) 
E09969 12 500 5000
E09969.mat 16x1+24 1000.0(0)/mV 16 0 9 10419 0 I
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27588 0 II
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -19 27931 0 III
E09969.mat 16x1+24 1000.0(0)/mV 16 0 0 -24236 0 aVR
E09969.mat 16x1+24 1000.0(0)/mV 16 0 14 -9306 0 aVL
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -14 -32595 0 aVF
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25436 0 V1
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -97 -15431 0 V2
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27268 0 V3
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -78 15271 0 V4
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -78 8967 0 V5
E09969.mat 16x1+24 1000.0(0)/mV 16 0 -19 11359 0 V6
# Age: 76
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown