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

File: <base>/training/georgia/g5/E04985.hea (711 bytes) 
E04985 12 500 5000
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -9 9880 0 I
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1543 0 II
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10615 0 III
E04985.mat 16x1+24 1000.0(0)/mV 16 0 48 -4490 0 aVR
E04985.mat 16x1+24 1000.0(0)/mV 16 0 34 -22890 0 aVL
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -82 26660 0 aVF
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -58 14246 0 V1
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31241 0 V2
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -78 -7179 0 V3
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -87 17522 0 V4
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -87 27643 0 V5
E04985.mat 16x1+24 1000.0(0)/mV 16 0 -97 -6246 0 V6
# Age: 61
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown