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

File: <base>/training/georgia/g1/E00975.hea (734 bytes) 
E00975 12 500 5000
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9151 0 I
E00975.mat 16x1+24 1000.0(0)/mV 16 0 9 -18253 0 II
E00975.mat 16x1+24 1000.0(0)/mV 16 0 68 -9550 0 III
E00975.mat 16x1+24 1000.0(0)/mV 16 0 24 -19135 0 aVR
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -63 546 0 aVL
E00975.mat 16x1+24 1000.0(0)/mV 16 0 39 18968 0 aVF
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15891 0 V1
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -126 -16820 0 V2
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -165 -17640 0 V3
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -165 -9885 0 V4
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -156 3061 0 V5
E00975.mat 16x1+24 1000.0(0)/mV 16 0 -175 12670 0 V6
# Age: 73
# Sex: Male
# Dx: 253352002,270492004,426177001
# Rx: Unknown
# Hx: Unknown