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

File: <base>/training/georgia/g7/E06933.hea (716 bytes) 
E06933 12 500 5000
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -48 23042 0 I
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -107 11418 0 II
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11278 0 III
E06933.mat 16x1+24 1000.0(0)/mV 16 0 78 -17332 0 aVR
E06933.mat 16x1+24 1000.0(0)/mV 16 0 4 -15244 0 aVL
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -82 -32728 0 aVF
E06933.mat 16x1+24 1000.0(0)/mV 16 0 58 3640 0 V1
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -9 911 0 V2
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2205 0 V3
E06933.mat 16x1+24 1000.0(0)/mV 16 0 9 -3243 0 V4
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -48 31566 0 V5
E06933.mat 16x1+24 1000.0(0)/mV 16 0 -29 -987 0 V6
# Age: 87
# Sex: Male
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown