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Non-magnetic compliant finger sensor for continuous fine motor movement detection
Anterpal Sandhu,Yasong Li,Nicholas Peatfield,Xin Yi Yong,Ryan D’Arcy,Carlo Menon,Teresa P. L. Cheung 대한의용생체공학회 2017 Biomedical Engineering Letters (BMEL) Vol.7 No.3
A non-magnetic MEG compatible device hasbeen developed that provides continuous force and velocityinformation. Combined with MEG, this device may findutility in characterizing brain regions associated with forceand velocity relative to individual digits or movementpattern. 15 healthy right-handed participants were givenvisual cues to perform random finger movements on theprototype finger sensor for 21 s and then rest for 21 s (7times). Respective finger flexion data were obtained, during151-channel MEG brain scanning, by feeding the signalfrom finger sensor into four input Analog to Digital Converter(ADC) channels in the MEG hardware. The sourceactivity was reconstructed in beta band using a LinearlyConstrained Minimum Variance (LCMV) beamformer inthe beta band. The ADC channels were used as regressorsfor a continuous time General Linear Model (GLM) and aRegion of Interest (ROI) was identified to examine activity. MEG analysis showed bilateral activation in the primarymotor cortex region. Because individual digits could beisolated in the ADC data, somatotopy of the fingers wereobserved consistent with the homunculus except pinkyfinger. The total span was calculated to be 5.5662 mm. Thestudy confirms that the finger sensor is magneticallycompatible with MEG measurements and may potentiallyprovide a means to study complex sensorimotor functions. Improved isolation of individual digit information alongwith the use of machine learning algorithms can helpretrieve more accurate results.