TY - CONF T1 - Characterization of Hand Movements using a Sensing Glove in Hand Assisted Laparoscopic Surgery T2 - Proceedings of the second International Conference on Medical Information and Bioengineering Y1 - 2017 A1 - L. Santos A1 - N. Carbonaro A1 - A. Tognetti A1 - Gonzales, R. A1 - J. C. Fraile A1 - J. P. Turiel A1 - E. De La Fuente AB -

The past thirty years have seen increasingly rapid advances in the field of laparoscopic surgery, in part because of the use of robots. A well-known example is the da Vinci surgical system. However, far too little attention has been paid to Hand Assisted Laparoscopic Surgery (HALS), a surgery in which the surgeon introduces the non-dominant hand into the abdomen of the patient. The risk of collision between the hand of the surgeon and the tool moved by the robot is the reason why these robots for laparoscopic surgery are not appropriate for HALS. On the other hand, in recent years, there has been an increasing interest in wearables, which have been introduced in our daily life. This interest and the lack of surgery robots for HALS are the reasons to develop a sensing glove which co-works whit a collaborative robot in this kind of surgery. The aim of this paper is to study the use of a sensing glove which will provide information of the movements of the surgeon’s hand to the collaborative robot. This information determinates the actions that the robot will carry on. The first step was to define different movements of the hand which could be identified. An algorithm identifies these movements using the data given by the sensing glove. For the purpose of algorithm accuracy measurement, 4 persons wearing the sensing glove made a sequence with different movements. The evidence from this study suggests that a sensing glove can be used to send information of the movements of the surgeon’s hand to a collaborative robot during a HALS.

JF - Proceedings of the second International Conference on Medical Information and Bioengineering ER - TY - JOUR T1 - Development of a High-Speed Current Injection and Voltage Measurement System for Electrical Impedance Tomography-Based Stretchable Sensors JF - TECHNOLOGIES Y1 - 2017 A1 - S. Russo A1 - S. Nefti-meziani A1 - N. Carbonaro A1 - A. Tognetti KW - conductive fabric KW - EIT KW - pressure sensor KW - stretchable KW - wearable VL - 5 UR - http://www.mdpi.com/2227-7080/5/3/48 ER - TY - JOUR T1 - A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics JF - FUTURE INTERNET Y1 - 2017 A1 - Cominelli, L. A1 - N. Carbonaro A1 - D. Mazzei A1 - R. Garofalo A1 - A. Tognetti A1 - D. De Rossi KW - human-robot interaction KW - multimodality KW - perception framework KW - physiological signal acquisition KW - social robotics VL - 9 ER - TY - JOUR T1 - A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors JF - SENSORS Y1 - 2017 A1 - S. Russo A1 - S. Nefti-meziani A1 - N. Carbonaro A1 - A. Tognetti KW - conductive fabric KW - inverse problem KW - performance parameters KW - stretchable sensor AB -

Electrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressure points. The drawback with EIT-based sensors, however, is their low spatial resolution due to the ill-posed nature of the EIT reconstruction. In this paper, we show our performance evaluation of different EIT drive patterns, specifically strategies for electrode selection when performing current injection and voltage measurements. We compare voltage data with Signal-to-Noise Ratio (SNR) and Boundary Voltage Changes (BVC), and study image quality with Size Error (SE), Position Error (PE) and Ringing (RNG) parameters, in the case of one-point and two-point simultaneous contact locations. The study shows that, in order to improve the performance of EIT based sensors, the electrode selection strategies should dynamically change correspondingly to the location of the input stimuli. In fact, the selection of one drive pattern over another can improve the target size detection and position accuracy up to 0.04. and 0.18, respectively.

VL - 17 UR - http://www.mdpi.com/1424-8220/17/9/1999/htm ER - TY - CHAP T1 - Strain and angular sensing fabrics for human motion analysis in daily life T2 - Smart textiles : fundamentals, design, and interaction Y1 - 2017 A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi A1 - A. Tognetti JF - Smart textiles : fundamentals, design, and interaction PB - Springer International Publishing CY - Dordrecht ER - TY - JOUR T1 - Systematic Review of fMRI Compatible Devices: Design and Testing Criteria JF - ANNALS OF BIOMEDICAL ENGINEERING Y1 - 2017 A1 - V. Hartwig A1 - N. Carbonaro A1 - A. Tognetti A1 - N. Vanello KW - Biomedical Engineering KW - Compatibility KW - fMRI KW - Mechatronic devices KW - Safety UR - http://link.springer.com/journal/volumesAndIssues/10439 ER - TY - JOUR T1 - Assessment of a Smart Sensing Shoe for Gait Phase Detection in Level Walking JF - ELECTRONICS Y1 - 2016 A1 - N. Carbonaro A1 - F. Lorussi A1 - A. Tognetti KW - accelerometers KW - force sensors KW - gait cycle KW - gait phase KW - smart shoe KW - walking KW - wearable technology VL - 5 UR - http://www.mdpi.com/2079-9292/5/4/78 ER - TY - JOUR T1 - A bi-articular model for scapular-humeral rhythm reconstruction through data from wearable sensors JF - JOURNAL OF NEUROENGINEERING AND REHABILITATION Y1 - 2016 A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi A1 - A. Tognetti KW - Hand posture estimation KW - Reaching activity KW - Scapular girdle movement KW - Scapular-humeral rhythm KW - Wearable sensing VL - 13 UR - https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-016-0149-2 ER - TY - CONF T1 - A highly stretchable artificial sensitive skin using EIT T2 - Book of abstracts: 16th International Conference on Electrical Bio-Impedance, 17th International Conference on Electrical Impedance Tomography. ICEBI and EIT Stockholm 19‚Äì23 June 2016 Y1 - 2016 A1 - S. Russo A1 - A. Tognetti A1 - N. Carbonaro A1 - S. Nefti-meziani JF - Book of abstracts: 16th International Conference on Electrical Bio-Impedance, 17th International Conference on Electrical Impedance Tomography. ICEBI and EIT Stockholm 19‚Äì23 June 2016 PB - Karolinska Institutet CY - Stoccolma UR - http://www.icebi2016.org/images/ICEBI_2016_web.pdf ER - TY - JOUR T1 - A Multi-Modal Sensing Glove for Human Manual-Interaction Studies JF - Electronics Y1 - 2016 A1 - M. Bianchi A1 - R. Haschke A1 - G. Büscher A1 - S. Ciotti A1 - N. Carbonaro A1 - A. Tognetti KW - Haptics AB -

We present an integrated sensing glove that combines two of the most visionary wearable sensing technologies to provide both hand posture sensing and tactile pressure sensing in a unique, lightweight, and stretchable device. Namely, hand posture reconstruction employs Knitted Piezoresistive Fabrics that allows us to measure bending. From only five of these sensors (one for each finger) the full hand pose of a 19 degrees of freedom (DOF) hand model is reconstructed leveraging optimal sensor placement and estimation techniques. To this end, we exploit a-priori information of synergistic coordination patterns in grasping tasks. Tactile sensing employs a piezoresistive fabric allowing us to measure normal forces in more than 50 taxels spread over the palmar surface of the glove. We describe both sensing technologies, report on the software integration of both modalities, and describe a preliminary evaluation experiment analyzing hand postures and force patterns during grasping. Results of the reconstruction are promising and encourage us to push further our approach with potential applications in neuroscience, virtual reality, robotics and tele-operation.

VL - 5 UR - http://www.mdpi.com/2079-9292/5/3/42/pdf IS - 3 N1 -

This work is supported in part by the European Research Council under the Advanced Grant “SoftHands: A Theory of Soft Synergies for a New Generation of Artificial Hands” (No. ERC-291166), by the EU H2020 projects “SoftPro: Synergy-based Open-source Foundations and Technologies for Prosthetics and RehabilitatiOn” (No. 688857) and “SOMA: Soft Manipulation” (No. 64559) and by the EU FP7 project (No. 601165) “WEARable HAPtics for Humans and Robots (WEARHAP)”.

ER - TY - CONF T1 - A preliminary framework for a social robot “sixth sense” T2 - Biomimetic and Biohybrid Systems 5th International Conference, Living Machines 2016, Edinburgh, UK, July 19-22, 2016. Proceedings Y1 - 2016 A1 - Cominelli, L. A1 - D. Mazzei A1 - N. Carbonaro A1 - R. Garofalo A1 - A. Zaraki A1 - A. Tognetti A1 - D. De Rossi KW - Affective computing KW - Behaviour monitoring KW - Computer Science (all) KW - human-robot interaction KW - social robotics KW - Synthetic tutor KW - Theoretical Computer Science JF - Biomimetic and Biohybrid Systems 5th International Conference, Living Machines 2016, Edinburgh, UK, July 19-22, 2016. Proceedings PB - Springer Verlag CY - Dordrecht VL - 9793 UR - http://springerlink.com/content/0302-9743/copyright/2005/ ER - TY - CONF T1 - A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography T2 - Proceedings of the 6th EAI International Conference on Wireless Mobile Communication and Healthcare Y1 - 2016 A1 - S. Russo A1 - N. Carbonaro A1 - A. Tognetti A1 - S. Nefti-meziani KW - drive patterns KW - EIT KW - Electrical impedance tomography KW - stretchable sensors JF - Proceedings of the 6th EAI International Conference on Wireless Mobile Communication and Healthcare ER - TY - JOUR T1 - A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition JF - Sensors Y1 - 2016 A1 - S. Ciotti A1 - E. Battaglia A1 - N. Carbonaro A1 - A. Bicchi A1 - A. Tognetti A1 - M. Bianchi KW - Haptics AB -

Achieving accurate and reliable kinematic hand pose reconstructions represents a challenging task. The main reason for this is the complexity of hand biomechanics, where several degrees of freedom are distributed along a continuous deformable structure. Wearable sensing can represent a viable solution to tackle this issue, since it enables a more natural kinematic monitoring. However, the intrinsic accuracy (as well as the number of sensing elements) of wearable hand pose reconstruction (HPR) systems can be severely limited by ergonomics and cost considerations. In this paper, we combined the theoretical foundations of the optimal design of HPR devices based on hand synergy information, i.e., the inter-joint covariation patterns, with textile goniometers based on knitted piezoresistive fabrics (KPF) technology, to develop, for the first time, an optimally-designed under-sensed glove for measuring hand kinematics. We used only five sensors optimally placed on the hand and completed hand pose reconstruction (described according to a kinematic model with 19 degrees of freedom) leveraging upon synergistic information. The reconstructions we obtained from five different subjects were used to implement an unsupervised method for the recognition of eight functional grasps, showing a high degree of accuracy and robustness.

VL - 16 UR - http://www.mdpi.com/1424-8220/16/6/811 IS - 6 ER - TY - CONF T1 - Towards the development of an EIT-based stretchable sensor for multi-touch industrial human-computer interaction systems T2 - Cross-Cultural Design 8th International Conference, CCD 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings Y1 - 2016 A1 - S. Russo A1 - S. Nefti-meziani A1 - Gulrez, T A1 - N. Carbonaro A1 - A. Tognetti KW - Computer Science (all) KW - Theoretical Computer Science JF - Cross-Cultural Design 8th International Conference, CCD 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings PB - Springer Verlag CY - Dordrecht VL - 9741 UR - http://springerlink.com/content/0302-9743/copyright/2005/ ER - TY - JOUR T1 - Wearable Textile Platform for Assessing Stroke Patient Treatment in Daily Life Conditions JF - FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY Y1 - 2016 A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi A1 - R. Paradiso A1 - Veltink, P. A1 - A. Tognetti KW - ambulatory monitoring KW - data fusion KW - gait KW - Grasping KW - reaching KW - stroke rehabilitation KW - wearable sensors VL - 4 ER - TY - CONF T1 - Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications T2 - Proceedings of Wireless EAI 4th International Conference on Mobile Communication and Healthcare (Mobihealth) Y1 - 2015 A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi A1 - A. Tognetti KW - Bioengineering JF - Proceedings of Wireless EAI 4th International Conference on Mobile Communication and Healthcare (Mobihealth) PB - ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering UR - http://dl.acm.org/citation.cfm?id=2897477 ER - TY - JOUR T1 - Music, clicks, and their imaginations favor differently the event-based timing component for rhythmic movements JF - EXPERIMENTAL BRAIN RESEARCH Y1 - 2015 A1 - Bravi, R. A1 - E. Quarta A1 - Del Tongo, C. A1 - N. Carbonaro A1 - A. Tognetti A1 - Minciacchi, D. KW - Bioengineering VL - 233 UR - http://dx.medra.org/10.1007/s00221-015-4267-z ER - TY - JOUR T1 - Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy JF - INTERACTING WITH COMPUTERS Y1 - 2015 A1 - Tartarisco, G. A1 - N. Carbonaro A1 - A. Tonacci A1 - G. M. Bernava A1 - A. Arnao A1 - G. Crifaci A1 - P. Cipresso A1 - G. Riva A1 - A. Gaggioli A1 - D. De Rossi A1 - A. Tognetti A1 - G. Pioggia KW - Bioengineering VL - 27 UR - http://dx.medra.org/10.1093/iwc/iwv010 ER - TY - JOUR T1 - Wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily-life JF - SENSORS Y1 - 2015 A1 - A. Tognetti A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi KW - Bioengineering VL - 15 UR - http://dx.medra.org/10.3390/s151128435 ER - TY - CONF T1 - Daily-Life Monitoring of Stroke Survivors Motor Performance: The INTERACTION Sensing System Y1 - 2014 A1 - A. Tognetti A1 - F. Lorussi A1 - N. Carbonaro A1 - D. De Rossi A1 - De Toma, G. A1 - Mancuso, C. A1 - Paradiso, R. A1 - Luinge, H. A1 - Reenalda, J. A1 - Droog, E. A1 - Veltink, P. AB -

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.

ER - TY - JOUR T1 - A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure Y1 - 2014 A1 - A. Gaggioli A1 - P. Cipresso A1 - Serino, S. A1 - G. Pioggia A1 - Tartarisco, G. A1 - Baldus, G. A1 - Corda, D. A1 - M. Ferro A1 - N. Carbonaro A1 - A. Tognetti A1 - D. De Rossi A1 - Giakoumis, D. A1 - Tzovaras, D. A1 - Riera, A. A1 - G. Riva AB -

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.

ER - TY - CONF T1 - Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition T2 - 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" Y1 - 2014 A1 - M. Bianchi A1 - N. Carbonaro A1 - E. Battaglia A1 - F. Lorussi A1 - A. Bicchi A1 - D. De Rossi A1 - A. Tognetti KW - Haptics KW - Robotics JF - 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" CY - November 3–5, 2014 Athens, Greece ER - TY - JOUR T1 - Exploiting wearable goniometer technology for motion sensing gloves JF - IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS Y1 - 2014 A1 - N. Carbonaro A1 - Dalle Mura, G. A1 - F. Lorussi A1 - Paradiso, R. A1 - D. De Rossi A1 - A. Tognetti AB -

This paper presents an innovative wearable kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove is conceived to capture hand movement and gesture by using KPF in a double layer configuration working as angular sensors (electro-goniometers). The sensing glove prototype is endowed by three KPF goniometers, used to track flexion and extension movement of metacarpo-phalangeal joint of thumb, index and middle fingers. The glove is devoted to the continuous monitoring of patients during their daily life activities, in particular for stroke survivors during their rehabilitation. The prototype performances have been evaluated in comparison with an optical tracking system considered as a gold standard both for relieving static and dynamic posture and gesture of the hand. The introduced prototype has shown very interesting figures of merit. The angular error, evaluated through the standard Bland Altman analysis, has been estimated in ? 3? which is slightly less accurate than commercial electro-goniometers. Moreover, a new conceptual prototype design, preliminary evaluated within this work, is presented and discussed in order to solve actual limitations in terms of number and type of sensor connections, avoiding mechanical constraints given by metallic inextensible wires and improving user comfort.

ER - TY - CONF T1 - Interpreting Psychophysiological States Using Unobtrusive Wearable Sensors in Virtual Reality T2 - Proc. of The Seventh International Conference on Advances in Computer-Human Interactions Y1 - 2014 A1 - A. Betella A1 - Pacheco, D. A1 - R. Zucca A1 - X. D. Arsiwalla A1 - P Omedas A1 - A Lanata A1 - D. Mazzei A1 - A. Tognetti A1 - A. Greco A1 - N. Carbonaro A1 - Wagner, J. A1 - Lingenfelser, F. A1 - Andrè, E. A1 - D. De Rossi A1 - Verschure, P. AB -

One of the main challenges in the study of human be- havior is to quantitatively assess the participants? affective states by measuring their psychophysiological signals in ecologically valid conditions. The quality of the acquired data, in fact, is often poor due to artifacts generated by natural interactions such as full body movements and gestures. We created a technology to address this problem. We enhanced the eXperience Induction Machine (XIM), an immersive space we built to conduct experiments on human behavior, with unobtrusive wearable sensors that measure electrocardiogram, breathing rate and electrodermal response. We conducted an empirical validation where participants wearing these sensors were free to move in the XIM space while exposed to a series of visual stimuli taken from the International Affective Picture System (IAPS). Our main result consists in the quan- titative estimation of the arousal range of the affective stimuli through the analysis of participants? psychophysiological states. Taken together, our findings show that the XIM constitutes a novel tool to study human behavior in life-like conditions.

JF - Proc. of The Seventh International Conference on Advances in Computer-Human Interactions ER - TY - JOUR T1 - New generation of wearable goniometers for motion capture systems JF - JOURNAL OF NEUROENGINEERING AND REHABILITATION Y1 - 2014 A1 - A. Tognetti A1 - F. Lorussi A1 - Dalle Mura, G. A1 - N. Carbonaro A1 - Pacelli, M. A1 - Paradiso, R. A1 - D. De Rossi AB -

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'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.

VL - 11 ER - TY - CONF T1 - Piezoresistive Goniometer Network for Sensing Gloves T2 - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing Y1 - 2014 A1 - Dalle Mura, G. A1 - F. Lorussi A1 - A. Tognetti A1 - G. Anania A1 - N. Carbonaro A1 - M. Pacelli A1 - R. Paradiso A1 - D. De Rossi JF - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing PB - Springer International Publishing UR - http://dx.medra.org/10.1007/978-3-319-00846-2_382 ER - TY - JOUR T1 - Psychometric Assessment of Cardio-Respiratory Activity Using a Mobile Platform JF - INTERNATIONAL JOURNAL OF HANDHELD COMPUTING RESEARCH Y1 - 2014 A1 - N. Carbonaro A1 - Cipresso, P A1 - A. Tognetti A1 - G. Anania A1 - D. De Rossi A1 - Pallavicini, F A1 - A. Gaggioli A1 - Riva, G AB -

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 psychophysi- ological parameter during daily life can be greatly helpful in stress evaluation. In this context, the European Collaborative Project INTERSTRESS is aimed at designing and developing advanced simulation and sensing technologies for the assessment and treatment of psychological stress, based on mobile biosensors.In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed mobile 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.

VL - 5 ER - TY - CONF T1 - An Innovative Multisensor Controlled Prosthetic Hand T2 - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing Y1 - 2013 A1 - N. Carbonaro A1 - G. Anania A1 - Bacchereti, M. A1 - Donati, G. A1 - Ferretti, G. A1 - Pellicci, L. A1 - Parrini, G. A1 - Vitetta, N. A1 - D. De Rossi A1 - A. Tognetti JF - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing PB - Springer International Publishing UR - http://dx.medra.org/10.1007/978-3-319-00846-2_23 ER - TY - CONF T1 - A Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking T2 - IEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) Y1 - 2013 A1 - N. Carbonaro A1 - A. Tognetti A1 - G. Anania A1 - D. De Rossi A1 - P. Cipresso A1 - A. Gaggioli A1 - G. Riva KW - Bioengineering AB -

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.

JF - IEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) CY - Venice, Italy ER - TY - CONF T1 - Piezoresistive Goniometer Network for Sensing Gloves T2 - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing Y1 - 2013 A1 - G. Dalle Mura A1 - F. Lorussi A1 - A. Tognetti A1 - G. Anania A1 - N. Carbonaro A1 - M. Pacelli A1 - R. Paradiso A1 - D. De Rossi KW - Bioengineering AB -

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.

JF - Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing PB - Springer International Publishing ER - TY - ABST T1 - Struttura protesica per amputazione mano Y1 - 2013 A1 - Bacchereti, M. A1 - N. Carbonaro A1 - G. Dalle Mura A1 - FERRETTI, L. A1 - PELLICCI, G. A1 - A. Tognetti A1 - Vitetta, N. ER - TY - PAT T1 - Struttura protesica per amputazione mano Y1 - 2013 A1 - Bacchereti, M. A1 - N. Carbonaro A1 - GABRIELE, D. A1 - FERRETTI, L. A1 - PELLICCI, G. A1 - A. Tognetti A1 - Vitetta, N. VL - PI2013A000004 ER - TY - CONF T1 - Personal Biomonitoring System: a real-time physiological and behavioural parameter monitoring system for stress correlation T2 - 17th Annual CyberPsychology & CyberTherapy Conference (CYBER17) Y1 - 2012 A1 - N. Carbonaro A1 - A. Tognetti A1 - G. Anania A1 - Dalle Mura, G. A1 - D. De Rossi JF - 17th Annual CyberPsychology & CyberTherapy Conference (CYBER17) ER - TY - CONF T1 - Unobtrusive Physiological and Gesture Wearable Acquisition System: A Preliminary Study on Behavioral and Emotional Correlations T2 - GLOBAL HEALTH 2012 : The First International Conference on Global Health Challenges Y1 - 2012 A1 - N. Carbonaro A1 - A. Greco A1 - G. Anania A1 - G. Dalle Mura A1 - A. Tognetti A1 - E. P. Scilingo A1 - D. De Rossi A1 - A Lanata JF - GLOBAL HEALTH 2012 : The First International Conference on Global Health Challenges ER - TY - CONF T1 - On the Use of Postural Synergies to Improve Human Hand Pose Reconstruction T2 - Haptics Symposium Y1 - 2012 A1 - M. Bianchi A1 - P Salaris A1 - A. Turco A1 - N. Carbonaro A1 - A. Bicchi KW - Haptics KW - Robotics JF - Haptics Symposium CY - Vancouver, Canada ER - TY - CONF T1 - Electroactive polymer patches for wearable haptic interfaces T2 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC’11 Y1 - 2011 A1 - D. De Rossi A1 - F. Carpi A1 - N. Carbonaro A1 - A. Tognetti A1 - E. P. Scilingo JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC’11 UR - http://dx.medra.org/10.1109/IEMBS.2011.6092064 ER - TY - CONF T1 - Enhancing the performance of upper limb gesture reconstruction through sensory fusion T2 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Y1 - 2011 A1 - F. Lorussi A1 - A. Tognetti A1 - N. Carbonaro A1 - G. Anania A1 - D. De Rossi JF - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS PB - IEEE CY - USA UR - http://dx.medra.org/10.1109/IEMBS.2011.6090944 ER - TY - CONF T1 - Wearable biomonitoring system for stress management: A preliminary study on robust ECG signal processing T2 - 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2011 Y1 - 2011 A1 - N. Carbonaro A1 - G. Anania A1 - G. Dalle Mura A1 - M. Tesconi A1 - A. Tognetti A1 - G. Zupone A1 - D. De Rossi JF - 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2011 UR - http://dx.medra.org/10.1109/WoWMoM.2011.5986192 ER - TY - JOUR T1 - Wearable Systems for Brain body Reading and Mind Healing JF - CYBER THERAPY AND REHABILITATION MAGAZINE Y1 - 2011 A1 - A. Tognetti A1 - E. P. Scilingo A1 - G. Anania A1 - N. Carbonaro A1 - A Lanata A1 - F. Lorussi A1 - D. Mazzei A1 - G. Valenza A1 - D. De Rossi ER - TY - JOUR T1 - Heart Rate and Accelerometer data fusion for activity assessment of rescuers during emergency interventions JF - IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE Y1 - 2010 A1 - Curone, D. A1 - A. Tognetti A1 - Secco, E. L. A1 - G. Anania A1 - N. Carbonaro A1 - D. De Rossi A1 - G. Magenes VL - 14 UR - http://dx.medra.org/10.1109/TITB.2010.2047727 ER - TY - CONF T1 - Interreality: The use of advanced technologies in the assessment and treatement of psychological stress T2 - Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications ISDA’10 Y1 - 2010 A1 - G. Pioggia A1 - N. Carbonaro A1 - G. Anania A1 - A. Tognetti A1 - Tartarisco, G. A1 - M. Ferro A1 - D. De Rossi A1 - G. Riva JF - Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications ISDA’10 UR - http://dx.medra.org/10.1109/ISDA.2010.5687047 ER - TY - CONF T1 - ntegrating hands-free interface into 3d virtual reality environments T2 - ARO Non-Manual Control Devices Symposium Y1 - 2009 A1 - A. Tognetti A1 - Gulrez, T A1 - N. Carbonaro A1 - G. Dalle Mura A1 - G. Zupone A1 - D. De Rossi JF - ARO Non-Manual Control Devices Symposium ER - TY - JOUR T1 - A SENSING SEAT FOR HUMAN AUTHENTICATION JF - IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY Y1 - 2009 A1 - M. Ferro A1 - G. Pioggia A1 - A. Tognetti A1 - N. Carbonaro A1 - D. De Rossi VL - 4 ER - TY - CONF T1 - A sensorized glove for hand rehabilitation T2 - Proceedings of the Annual Northeast Bioengineering Conference Y1 - 2009 A1 - F. Cutolo A1 - C. Mancinelli A1 - S. Patel A1 - N. Carbonaro A1 - M. Schmid A1 - A. Tognetti A1 - D. De Rossi A1 - P. Bonato JF - Proceedings of the Annual Northeast Bioengineering Conference UR - http://dx.medra.org/10.1109/NEBC.2009.4967775 ER -