@conference {2718,
	title = {Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications},
	booktitle = {Proceedings of Wireless EAI 4th International Conference on Mobile Communication and Healthcare (Mobihealth)},
	year = {2015},
	pages = {1-4},
	publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering},
	organization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering},
	keywords = {Bioengineering},
	doi = {10.4108/eai.14-10-2015.2261613},
	url = {http://dl.acm.org/citation.cfm?id=2897477},
	author = {F. Lorussi and N. Carbonaro and D. De Rossi and A. Tognetti}
}
@article {2716,
	title = {Music, clicks, and their imaginations favor differently the event-based timing component for rhythmic movements},
	journal = {EXPERIMENTAL BRAIN RESEARCH},
	volume = {233},
	year = {2015},
	pages = {1945{\textendash}1961},
	keywords = {Bioengineering},
	issn = {0014-4819},
	doi = {10.1007/s00221-015-4267-z},
	url = {http://dx.medra.org/10.1007/s00221-015-4267-z},
	author = {Bravi, R. and E. Quarta and Del Tongo, C. and N. Carbonaro and A. Tognetti and Minciacchi, D.}
}
@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 {2715,
	title = {Wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily-life},
	journal = {SENSORS},
	volume = {15},
	year = {2015},
	pages = {28435{\textendash}28455},
	keywords = {Bioengineering},
	issn = {1424-8220},
	doi = {10.3390/s151128435},
	url = {http://dx.medra.org/10.3390/s151128435},
	author = {A. Tognetti and F. Lorussi and N. Carbonaro and D. De Rossi}
}
@conference {1814,
	title = {A Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking},
	booktitle = {IEEE  7th International Conference on  Pervasive Computing Technologies for Healthcare (PervasiveHealth)},
	year = {2013},
	pages = {440 - 445 },
	address = {Venice, Italy},
	abstract = {<p style="text-align: justify;">Stress is an increasingly recognized phenomenon that has negative effects on growing numbers of people. Stress assessment is a complex issue, but different studies have shown that monitoring user psychophysiological parameter during daily life can be greatly helpful in stress evaluation. In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed wearable platform, in terms of hardware and processing algorithms, is described. Moreover the use of this wearable biosensor platform in combination with advanced simulation technologies, such as virtual reality offer interesting opportunities for innovative personal health-care solutions to stress. A recently founded European project, "INTERSTRESS - Interreality in the management and treatment of stress-related disorders," will take into account these relevant aspects.</p>
},
	keywords = {Bioengineering},
	issn = {978-1-4799-0296-5 },
	author = {N. Carbonaro and A. Tognetti and G. Anania and D. De Rossi and P. Cipresso and A. Gaggioli and G. Riva}
}
@conference {2243,
	title = {Piezoresistive Goniometer Network for Sensing Gloves},
	booktitle = {Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing},
	year = {2013},
	pages = {1547{\textendash}1550},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {<p>This paper presents a kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove forefinger area is sensorized by two KPF goniometers obtained on the same piezoresistive substrate. The piezoresistive textile is used for the realization of both electrogoniometers and connections, thus avoiding mechanical constraints due to metallic wires. Sensors are characterized in comparison with commercial goniometers. The glove behavior is pointed out in terms of methacarpal-phalangeal and interphalangeal joint movement reconstruction.</p>
},
	keywords = {Bioengineering},
	doi = {10.1007/978-3-319-00846-2_382},
	author = {G. Dalle Mura and F. Lorussi and A. Tognetti and G. Anania and N. Carbonaro and M. Pacelli and R. Paradiso and D. De Rossi}
}
