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

File: <base>/training/georgia/g9/E08603.hea (709 bytes) 
E08603 12 500 5000
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -156 441 0 I
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -234 515 0 II
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -78 1379 0 III
E08603.mat 16x1+24 1000.0(0)/mV 16 0 195 -384 0 aVR
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -39 -606 0 aVL
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -156 857 0 aVF
E08603.mat 16x1+24 1000.0(0)/mV 16 0 97 13694 0 V1
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -117 2873 0 V2
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -97 8440 0 V3
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -146 27682 0 V4
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -146 -24599 0 V5
E08603.mat 16x1+24 1000.0(0)/mV 16 0 -165 -22431 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown