eprintid: 3100 rev_number: 8 eprint_status: archive userid: 69 dir: disk0/00/00/31/00 datestamp: 2016-02-22 10:41:48 lastmod: 2016-09-13 09:56:48 status_changed: 2016-02-22 10:41:48 type: article metadata_visibility: show creators_name: Vanello, Nicola creators_name: Hartwig, Valentina creators_name: Tesconi, Mario creators_name: Ricciardi, Emiliano creators_name: Tognetti, Alessandro creators_name: Zupone, Giuseppe creators_name: Gassert, Roger creators_name: Chapuis, Dominique creators_name: Sgambelluri, Nicola creators_name: Scilingo, Enzo Pasquale creators_name: Giovannetti, Giulio creators_name: Positano, Vincenzo creators_name: Santarelli, Maria Filomena creators_name: Bicchi, Antonio creators_name: Pietrini, Pietro creators_name: De Rossi, Danilo creators_name: Landini, Luigi creators_id: creators_id: creators_id: creators_id: emiliano.ricciardi@imtlucca.it creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: pietro.pietrini@imtlucca.it creators_id: creators_id: title: Sensing Glove for Brain Studies: Design and Assessment of Its Compatibility for fMRI With a Robust Test ispublished: pub subjects: RC0321 subjects: T1 divisions: CSA full_text_status: none keywords: Biomedical MRI; Brain; Distributed sensors; Mechatronics; Statistical testing; Tactile sensors; Biomimetic-fabric-based sensing glove; Gesture monitoring; Hand posture monitoring; Piezoresistive conductive elastomers; Biosensors; Fabrics; Imaging phantoms;Magnetic resonance imaging abstract: In this paper, we describe a biomimetic-fabric-based sensing glove that can be used to monitor hand posture and gesture. Our device is made of a distributed sensor network of piezoresistive conductive elastomers integrated into an elastic fabric. This solution does not affect natural movement and hand gestures, and can be worn for a long time with no discomfort. The glove could be fruitfully employed in behavioral and functional studies with functional MRI (fMRI) during specific tactile or motor tasks. To assess MR compatibility of the system, a statistical test on phantoms is introduced. This test can also be used for testing the compatibility of mechatronic devices designed to produce different stimuli inside the MR environment. We propose a statistical test to evaluate changes in SNR and time-domain standard deviations between image sequences acquired under different experimental conditions. fMRI experiments on subjects wearing the glove are reported. The reproducibility of fMRI results obtained with and without the glove was estimated. A good similarity between the activated regions was found in the two conditions. date: 2008-06 date_type: published publication: IEEE/Asme Transactions on Mechatronics volume: 13 number: 3 publisher: IEEE pagerange: 345-354 id_number: 10.1109/TMECH.2008.924115 refereed: TRUE issn: 1083-4435 official_url: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4542814 citation: Vanello, Nicola and Hartwig, Valentina and Tesconi, Mario and Ricciardi, Emiliano and Tognetti, Alessandro and Zupone, Giuseppe and Gassert, Roger and Chapuis, Dominique and Sgambelluri, Nicola and Scilingo, Enzo Pasquale and Giovannetti, Giulio and Positano, Vincenzo and Santarelli, Maria Filomena and Bicchi, Antonio and Pietrini, Pietro and De Rossi, Danilo and Landini, Luigi Sensing Glove for Brain Studies: Design and Assessment of Its Compatibility for fMRI With a Robust Test. IEEE/Asme Transactions on Mechatronics, 13 (3). pp. 345-354. ISSN 1083-4435 (2008)