@article {2660, title = {A synergy-based hand control is encoded in human motor cortical areas}, journal = {eLIFE}, year = {2016}, abstract = {

How the human brain controls hand movements to carry out different tasks is still debated. The concept of\ synergy\ has been proposed to indicate functional modules that may simplify the control of hand postures by simultaneously recruiting sets of muscles and joints. However, whether and to what extent synergic hand postures are encoded as such at a cortical level remains unknown. Here, we combined kinematic, electromyography, and brain activity measures obtained by functional magnetic resonance imaging while subjects performed a variety of movements towards virtual objects. Hand postural information, encoded through kinematic synergies, were represented in cortical areas devoted to hand motor control and successfully discriminated individual grasping movements, significantly outperforming alternative somatotopic or muscle-based models. Importantly, hand postural synergies were predicted by neural activation patterns within primary motor cortex. These findings support a novel cortical organization for hand movement control and open potential applications for brain-computer interfaces and neuroprostheses.

}, doi = {http://dx.doi.org/10.7554/eLife.13420}, url = {http://elifesciences.org/content/5/e13420v2}, author = {A. Leo and G. Handjaras and M. Bianchi and H. Marino and M Gabiccini and Guidi, A. and E. P. Scilingo and P. Pietrini and A. Bicchi and M. Santello and E. Ricciardi} } @conference {1484, title = {Speech analysis for mood state characterization in bipolar patients}, booktitle = {Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE}, year = {2012}, pages = {2104{\textendash}2107}, publisher = {IEEE}, organization = {IEEE}, keywords = {Bioengineering}, author = {N. Vanello and Guidi, A. and C. Gentili and Werner, S. and G. Bertschy and G. Valenza and A Lanata and E. P. Scilingo} } @inbook {HB08-1, title = {The Sense of Touch and its Rendering: Progresses in Haptics Research}, series = {Springer Tracts in Advanced Robotics (STAR)}, volume = {45/2008}, year = {2008}, pages = {39 - 60}, publisher = {Springer}, organization = {Springer}, type = {Chapter}, chapter = {The Role of Tactile Flow in Processing Dynamic Haptic Stimuli}, address = {Berlin, Heidelberg}, abstract = {

Dynamic stimuli in visual and tactile sensory modalities share fundamental psychophysical features that can be explained by similar computational models. In vision, information about relative motion between objects and the observer are mainly processed by optic flow, which is a 2D field of velocities associated with variation of brightness patterns in the image plane. It provides important information about cues for region and boundary segmentation, shape recovery, and so on. For instance, radial patterns of optic flow are often used to estimate time before contact with an approaching object. We put forward the hypothesis that a similar behavior can be present in the tactile domain, in which an analogous paradigm to optic flow might exist. Moreover, as optic flow is also invoked to explain several visual illusions, including the well-known "barber-pole" effect and Ouchi

}, keywords = {Haptics, Robotics}, author = {E. P. Scilingo and N. Sgambelluri and A. Bicchi}, editor = {A. Bicchi and M. Buss and M. Ernst and A. Peer} } @inbook {HB08-2, title = {The Sense of Touch and its Rendering: Progresses in Haptics Research}, series = {Springer Tracts in Advanced Robotics (STAR)}, volume = {45/2008}, year = {2008}, pages = {155-178}, publisher = {Springer}, organization = {Springer}, type = {Chapter}, chapter = {Rheological Device}, address = {Berlin, Heidelberg}, abstract = {

In this work we investigate the possibility of mimicking haptic perception by using rheological materials. An analysis of the rheological behaviour of some "smart fluids", such as Electro-rheological Fluids (ERFs) and Magneto-rheological Fluids (MRFs), is provided to design new haptic interfaces capable of reproducing shape and compliance of some virtual objects. Some theoretical design considerations are discussed and supported by magnetic simulations implemented by means of a numerical code. Several prototypes were designed and realized through a progressive enhancement of performance up to a final 3D immersive device. Furthermore, to assess performance a set of psychophysical tests was carried out and experimental results in terms of softness and shape recognition are reported.

}, keywords = {Haptics, Robotics}, author = {N. Sgambelluri and E. P. Scilingo and R. Rizzo and A. Bicchi}, editor = {A. Bicchi and M. Buss and M. Ernst and A. Peer} } @article {VHTRTZGCSSGPSBPDRL08, title = {Sensing Glove for Brain Studies: Design and assessment of its Compatibility for fMRI with a Robust Test}, journal = {IEEE - ASME Transactions on Mechatronics}, volume = {13}, number = {3}, year = {2008}, pages = {345-354}, abstract = {

In this paper, we describe a biomimetic-fabric-based sensing glove that can be used tomonitor 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 fMRIresults obtained with andwithout the glove was estimated. A good similarity between the activated regions was found in the two conditions.

}, keywords = {Haptics, Robotics}, author = {N. Vanello and V. Hartwig and M. Tesconi and E. Ricciardi and A. Tognetti and G. Zupone and R. Gassert and D. Chapuis and N. Sgambelluri and E. P. Scilingo and G. Giovannetti and V. Positano and M. F. Santarelli and A. Bicchi and P. Pietrini and D. De Rossi and L. Landini} } @inbook {DS06, title = {Skin-like sensor arrays}, booktitle = {Encyclopedia of Sensors}, year = {2006}, pages = {535-556}, publisher = {American Scientific Publishers}, organization = {American Scientific Publishers}, keywords = {Bioengineering, Haptics}, author = {D. De Rossi and E. P. Scilingo} } @article {LSTTD05, title = {Strain sensing fabric for hand posture and gesture monitoring}, journal = {IEEE Transactions on Information Technology in BioMedicine}, volume = {9}, number = {3}, year = {2005}, month = {September}, pages = {372-381}, keywords = {Bioengineering}, author = {F. Lorussi and E. P. Scilingo and M. Tesconi and A. Tognetti and D. De Rossi} } @conference {GSLTPD-04, title = {A sensing shirt for monitoring behavioral and autonomic parameters}, booktitle = {55}, year = {2004}, month = {February}, pages = {83}, address = {Innsbruck, Austria}, keywords = {Bioengineering}, author = {A. Gemignani and E. P. Scilingo and G. Loriga and N. Taccini and R. Paradiso and D. De Rossi and B. Ghelarducci} } @article {SLMD03, title = {Strain-Sensing Fabrics for Wearable Kinaesthetic-Like Systems}, journal = {IEEE Sensors Journal}, volume = {3}, number = {4}, year = {2003}, month = {August}, pages = {460-467}, keywords = {Bioengineering}, author = {E. P. Scilingo and F. Lorussi and A. Mazzoldi and D. De Rossi} } @conference {SLDPGPAGG-02, title = {A Sensing Shirt for Monitoring Body Kinematic and Vital Signs}, booktitle = {Symposium on Telemedicine In Care Delivery, Technology and Application}, year = {2002}, month = {June}, pages = {57-67}, address = {Pisa, Italy}, keywords = {Bioengineering}, author = {E. P. Scilingo and F. Lorussi and D. De Rossi and R. Paradiso and M. Ghignoli and M. Pacelli and G. Anerdi and A. Gemignani and B. Ghelarducci} } @article {MDLSP02, title = {Smart textiles for wearable motion capture systems}, journal = {AUTEX Research Journal}, volume = {2}, number = {4}, year = {2002}, month = {December}, pages = {199-203}, keywords = {Bioengineering}, author = {A. Mazzoldi and D. De Rossi and F. Lorussi and E. P. Scilingo and R. Paradiso} } @conference {PPACGLSDGB-01, title = {Sensing Threads and Fabrics for Monitoring Body Kinematic and Vital Signs}, booktitle = {Fibres and Textiles for the Future}, year = {2001}, month = {August}, pages = {55-63}, address = {Tampere, Finland}, keywords = {Smart Textiles, Vital Signs}, author = {M. Pacelli and R. Paradiso and G. Anerdi and S. Ceccarini and M. Ghignoli and F. Lorussi and E. P. Scilingo and D. De Rossi and A. Gemignani and B. Ghelarducci} } @conference {DLMWS-01, title = {Strain-amplified electroactive polymer actuator for haptic interfaces}, booktitle = {Proceedings of SPIE}, year = {2001}, month = {July}, pages = {43-53}, address = {Newport Beach, USA}, keywords = {Bioengineering, Haptics}, author = {D. De Rossi and F. Lorussi and A. Mazzoldi and W. Rocchia and E. P. Scilingo} } @conference {SDRBI97-EMB, title = {Sensors and devices to enhance the performance of a minimally invasive surgery tool for replicating surgeons{\textquoteright} haptic percetion of manipulated tissues}, booktitle = {Proc. IEEE Int. Conf. Engineering in Medicine and Biology}, year = {1997}, address = {Chicago}, keywords = {Haptics, Sensors}, author = {E. P. Scilingo and D. De Rossi and A. Bicchi and P. Iaccone} } @conference {BCDRIS96, title = { A sensor-based minimally invasive surgery tool for detecting tissue elastic properties }, booktitle = {Proc. IEEE Int. Conf. on Robotics and Automation}, year = {1996}, pages = {884-888}, keywords = {Haptics, Tools for Minimally Invasive Surgery}, author = {A. Bicchi and G. Canepa and D. De Rossi and P. Iacconi and E. P. Scilingo} }