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

File: <base>/training/georgia/g6/E05782.hea (720 bytes) 
E05782 12 500 5000
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -87 -22460 0 I
E05782.mat 16x1+24 1000.0(0)/mV 16 0 39 17844 0 II
E05782.mat 16x1+24 1000.0(0)/mV 16 0 126 -25650 0 III
E05782.mat 16x1+24 1000.0(0)/mV 16 0 24 1814 0 aVR
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -107 1636 0 aVL
E05782.mat 16x1+24 1000.0(0)/mV 16 0 82 -4016 0 aVF
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -146 -1193 0 V1
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -136 29151 0 V2
E05782.mat 16x1+24 1000.0(0)/mV 16 0 0 25724 0 V3
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -48 16627 0 V4
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15074 0 V5
E05782.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21318 0 V6
# Age: 73
# Sex: Male
# Dx: 164889003,39732003
# Rx: Unknown
# Hx: Unknown