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

File: <base>/training/georgia/g6/E05938.hea (716 bytes) 
E05938 12 500 5000
E05938.mat 16x1+24 1000.0(0)/mV 16 0 29 -9581 0 I
E05938.mat 16x1+24 1000.0(0)/mV 16 0 48 -28911 0 II
E05938.mat 16x1+24 1000.0(0)/mV 16 0 19 -18485 0 III
E05938.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13830 0 aVR
E05938.mat 16x1+24 1000.0(0)/mV 16 0 4 -28504 0 aVL
E05938.mat 16x1+24 1000.0(0)/mV 16 0 34 -23594 0 aVF
E05938.mat 16x1+24 1000.0(0)/mV 16 0 87 -13130 0 V1
E05938.mat 16x1+24 1000.0(0)/mV 16 0 370 -8954 0 V2
E05938.mat 16x1+24 1000.0(0)/mV 16 0 331 -30363 0 V3
E05938.mat 16x1+24 1000.0(0)/mV 16 0 234 -20713 0 V4
E05938.mat 16x1+24 1000.0(0)/mV 16 0 -253 -15202 0 V5
E05938.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19599 0 V6
# Age: 74
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown