@article {3225, title = {Development of a High-Speed Current Injection and Voltage Measurement System for Electrical Impedance Tomography-Based Stretchable Sensors}, journal = {TECHNOLOGIES}, volume = {5}, year = {2017}, keywords = {conductive fabric, EIT, pressure sensor, stretchable, wearable}, doi = {10.3390/technologies5030048}, url = {http://www.mdpi.com/2227-7080/5/3/48}, author = {S. Russo and S. Nefti-meziani and N. Carbonaro and A. Tognetti} } @conference {2214, title = {Daily-Life Monitoring of Stroke Survivors Motor Performance: The INTERACTION Sensing System}, year = {2014}, abstract = {

The objective of the INTERACTION Eu project is to develop and validate an unobtrusive and modular system for monitoring daily life activities, physical interactions with the environment and for training upper and lower extremity motor function in stroke subjects. This paper describes the development and preliminary testing of the project sensing platform made of sensing shirt, trousers, gloves and shoes. Modular prototypes were designed and built considering the minimal set of inertial, force and textile sensors that may enable an efficient monitoring of stroke patients. The single sensing elements are described and the results of their preliminary lab-level testing are reported.

}, author = {A. Tognetti and F. Lorussi and N. Carbonaro and D. De Rossi and De Toma, G. and Mancuso, C. and Paradiso, R. and Luinge, H. and Reenalda, J. and Droog, E. and Veltink, P.} } @conference {2215, title = {Daily-life tele-monitoring of motor performance in stroke survivors}, booktitle = {Proceedings of XIII International Symposium on 3D Analysis of Human Movement}, year = {2014}, month = {17 July 2014}, pages = {159{\textendash}162}, abstract = {

The objective of the EU project INTERACTION is to develop an unobtrusive and modular sensing system for objective monitoring of daily-life motor performance of stroke survivors. This will enable clinical professionals to advise their patients about their continued daily-life activity profile and home training, and evaluate and optimize rehabilitation programs.A modular textile-integrated sensing system was developed and performance and capacity measures were proposed and clinically tested in stroke subject.Telemonitoring facilities were developed and tested. In the last stage of the project, the system will be tested during daily-life.

}, author = {Veltink, P.H. and van Meulen, F.B. and van Beijnum, B.J.F. and Klaassen, B. and Hermens, H. J. and Droog, E. and Weusthof, M. H. H. and F. Lorussi and A. Tognetti and Reenalda, J. and Nikamp, C. D. M. and Baten, C. T. M. and Buurke, J. H. and Held, J. and Luft, A. R. L. and Luinge, H. and De Toma, G. and Mancuso, C. and Paradiso, R.} } @article {2228, title = {A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure}, year = {2014}, pages = {114{\textendash}120}, abstract = {

Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.

}, doi = {10.3233/978-1-61499-375-9-114}, author = {A. Gaggioli and P. Cipresso and Serino, S. and G. Pioggia and Tartarisco, G. and Baldus, G. and Corda, D. and M. Ferro and N. Carbonaro and A. Tognetti and D. De Rossi and Giakoumis, D. and Tzovaras, D. and Riera, A. and G. Riva} } @conference {1997, title = {Decoding 2D kinematics of human arm for body machine interfaces}, booktitle = {Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013}, year = {2014}, pages = {719{\textendash}722}, doi = {10.1109/ICIEA.2013.6566461}, url = {http://dx.medra.org/10.1109/ICIEA.2013.6566461}, author = {Gulrez, T and Kavakli-Thorne, M. and A. Tognetti} }