@article {2717, title = {Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy}, journal = {INTERACTING WITH COMPUTERS}, volume = {27}, year = {2015}, pages = {521{\textendash}533}, keywords = {Bioengineering}, issn = {0953-5438}, doi = {10.1093/iwc/iwv010}, url = {http://dx.medra.org/10.1093/iwc/iwv010}, author = {Tartarisco, G. and N. Carbonaro and A. Tonacci and G. M. Bernava and A. Arnao and G. Crifaci and P. Cipresso and G. Riva and A. Gaggioli and D. De Rossi and A. Tognetti and G. Pioggia} } @article {2212, title = {New generation of wearable goniometers for motion capture systems}, journal = {JOURNAL OF NEUROENGINEERING AND REHABILITATION}, volume = {11}, year = {2014}, abstract = {

Background Monitoring joint angles through wearable systems enables human posture and gesture to be reconstructed as a support for physical rehabilitation both in clinics and at the patient{\textquoteright}s home. A new generation of wearable goniometers based on knitted piezoresistive fabric (KPF) technology is presented. Methods KPF single-and double-layer devices were designed and characterized under stretching and bending to work as strain sensors and goniometers. The theoretical working principle and the derived electromechanical model, previously proved for carbon elastomer sensors, were generalized to KPF. The devices were used to correlate angles and piezoresistive fabric behaviour, to highlight the differences in terms of performance between the single layer and the double layer sensors. A fast calibration procedure is also proposed. Results The proposed device was tested both in static and dynamic conditions in comparison with standard electrogoniometers and inertial measurement units respectively. KPF goniometer capabilities in angle detection were experimentally proved and a discussion of the device measurement errors of is provided. The paper concludes with an analysis of sensor accuracy and hysteresis reduction in particular configurations. Conclusions Double layer KPF goniometers showed a promising performance in terms of angle measurements both in quasi-static and dynamic working mode for velocities typical of human movement. A further approach consisting of a combination of multiple sensors to increase accuracy via sensor fusion technique has been presented.

}, doi = {10.1186/1743-0003-11-56}, author = {A. Tognetti and F. Lorussi and Dalle Mura, G. and N. Carbonaro and Pacelli, M. and Paradiso, R. and D. De Rossi} } @conference {1813, title = {Novel Spiking Neuron-Astrocyte Networks based on NoNlinearTransistor-Like Models of Tripartite Synapses}, booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC{\textquoteright}13)}, year = {2013}, address = {Osaka, Japan}, abstract = {

In this paper a novel and efficient computational implementation of a Spiking Neuron-Astrocyte Network (SNAN) is reported. Neurons are modeled according to the Izhikevich formulation and the neuron-astrocyte interactions are intended as tripartite synapsis and modeled with the previ- ously proposed nonlinear transistor-like model. Concerning the learning rules, the original spike-timing dependent plasticity is used for the neural part of the SNAN whereas an ad-hoc rule is proposed for the astrocyte part. SNAN performances are compared with a standard spiking neural network (SNN) and evaluated using the polychronization concept, i.e., number of co-existing groups that spontaneously generate patterns of polychronous activity. The astrocyte-neuron ratio is the biologically inspired value of 1.5. The proposed SNAN shows higher number of polychronous groups than SNN, remarkably achieved for the whole duration of simulation (24 hours).

}, keywords = {Bioengineering}, author = {G. Valenza and L. Tedesco and A Lanata and D. De Rossi and E. P. Scilingo} } @article {1473, title = {A neuron-astrocyte transistor-like model for neuromorphic dressed neurons}, journal = {Neural Networks}, year = {2011}, keywords = {Bioengineering}, author = {G. Valenza and G. Pioggia and Armato, A. and M. Ferro and E. P. Scilingo and D. De Rossi} } @conference {2022, title = {Neural Correlates of Human-Robot Handshaking}, booktitle = {Proc. of the 19th IEEE International Symposium in Robot and Human Interactive Communication}, year = {2010}, note = {

http://www.scopus.com/inward/record.url?eid=2-s2.0-78649822141\&partnerID=40\&md5=e485b7dd908e69afd535dc7792a8e5b3

}, month = {13-15, Settembre}, pages = {555{\textendash}561}, publisher = {IEEE}, organization = {IEEE}, address = {NEW YORK {\textendash} USA}, doi = {10.1109/ROMAN.2010.5598624}, url = {http://dx.medra.org/10.1109/ROMAN.2010.5598624}, author = {N. Vanello and D. Bonino and E. Ricciardi and M. Tesconi and E. P. Scilingo and V. Hartwig and A. Tognetti and G. Zupone and F. Cutolo and G. Giovannetti and P. Pietrini and D. De Rossi and L. Landini} } @conference {2027, title = {ntegrating hands-free interface into 3d virtual reality environments}, booktitle = {ARO Non-Manual Control Devices Symposium}, year = {2009}, pages = {{\textendash}}, author = {A. Tognetti and Gulrez, T and N. Carbonaro and G. Dalle Mura and G. Zupone and D. De Rossi} } @article {1558, title = {A New Bio-Inspired Robot Based on Senseless Motion: Theoretical study and Preliminary Technological Results}, journal = {MULTIDISCIPLINE MODELING IN MATERIALS AND STRUCTURES}, year = {2008}, keywords = {Bioengineering}, issn = {1573-6105}, author = {COTRONEO, A and G. Vozzi and GEROVASI, L and D. De Rossi} } @article {1777, title = {Need better sensor: try using polymers}, journal = {RESEARCH \& DEVELOPMENT}, year = {1989}, pages = {66{\textendash}70}, keywords = {Bioengineering}, issn = {0746-9179}, author = {D. De Rossi} } @article {1771, title = {NTIR Optical Immunosensor}, journal = {MEDICINE BIOLOGIE ENVIRONMENT}, volume = {15}, year = {1987}, pages = {49{\textendash}54}, keywords = {Bioengineering}, author = {M. Monici and A. Nannini and D. De Rossi} } @article {1731, title = {A new fibre-optic liquid crystal catheter for oxygen saturation and blood flow measurement in the coronary sinus}, journal = {JOURNAL OF BIOMEDICAL ENGINEERING}, volume = {2}, year = {1980}, pages = {257{\textendash}264}, keywords = {Bioengineering}, issn = {0141-5425}, author = {D. De Rossi and A. Benassi and A. L{\textquoteright}Abbate and P. Dario} }