Environmental Magnetic Noise Reduction of Flat Multichannel Optically Pumped Magnetometer with Signal Space Separation Method together with Auxiliary Sensors

2021 ◽  
Vol 141 (8) ◽  
pp. 446-451
Author(s):  
Mitsugu Nakayama ◽  
Yosuke Ito ◽  
Tetsuo Kobayashi
Keyword(s):  
Noise Reduction ◽  
Separation Method ◽  
Magnetic Noise ◽  
Optically Pumped ◽  
Signal Space ◽  
Signal Space Separation ◽  
Space Separation

scholarly journals Utility of temporally-extended signal space separation algorithm for magnetic noise from vagal nerve stimulators

2013 ◽  
Vol 124 (7) ◽  
pp. 1277-1282 ◽  
Author(s):  
Yosuke Kakisaka ◽  
John C. Mosher ◽  
Zhong I. Wang ◽  
Kazutaka Jin ◽  
Anne-Sophie Dubarry ◽  
...  
Keyword(s):  
Vagal Nerve ◽  
Magnetic Noise ◽  
Separation Algorithm ◽  
Signal Space ◽  
Signal Space Separation ◽  
Space Separation

Calibration of a multichannel MEG system based on the Signal Space Separation method

2012 ◽  
Vol 57 (15) ◽  
pp. 4855-4870 ◽  
Author(s):  
F Chella ◽  
F Zappasodi ◽  
L Marzetti ◽  
S Della Penna ◽  
V Pizzella
Keyword(s):  
Separation Method ◽  
Signal Space ◽  
Signal Space Separation ◽  
Space Separation

scholarly journals Applications of the signal space separation method

2005 ◽  
Vol 53 (9) ◽  
pp. 3359-3372 ◽  
Author(s):  
S. Taulu ◽  
J. Simola ◽  
M. Kajola
Keyword(s):  
Separation Method ◽  
Signal Space ◽  
Signal Space Separation ◽  
Space Separation

52. Transformation of MEG ERD/ERS signal between different head positions using Signal Space Separation method

2010 ◽  
Vol 121 (7) ◽  
pp. e31
Author(s):  
Jun Matsubayashi ◽  
Masao Matsuhashi ◽  
Tatsuya Mima ◽  
Hidenao Fukuyama ◽  
Akira Mitani
Keyword(s):  
Separation Method ◽  
Signal Space ◽  
Signal Space Separation ◽  
Head Positions ◽  
Space Separation

Performance of Signal Space Separation Depending on Sensor Array Arrangement in Biomagnetic Measurements

2011 ◽  
Vol 480-481 ◽  
pp. 1418-1425
Author(s):  
Ki Woong Kim ◽  
Yong Ho Lee ◽  
Sung Won Park
Keyword(s):  
Noise Reduction ◽  
Spherical Harmonic ◽  
Sensor Array ◽  
Magnetic Noise ◽  
Signal Source ◽  
Noise Interference ◽  
Signal Space Separation ◽  
Different Shapes ◽  
Measuring Sensor ◽  
Space Separation

Signal source separation (SSS) has widely been adopted for magnetoencephalography (MEG) to reduce external magnetic noise interference. The basic idea of SSS is based on decomposing measured fields into spherical harmonic bases. Due to the feature, the performance of SSS strongly depends on the shape of a measuring sensor array. In this article, we show the noise reduction performances in several different shapes of the sensor and array and demonstrate SSS is only effective for a non-spherical sensor array or for a gradiometric arrangement.

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