The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 16 - 27 of 27
The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.
To the enterprises working in the field of nutrition/nutraceutics and drug development/repositioning, we offer the know-how and state-of-the-art instrumentation of our labs to monitor multiple relevant biological parameters at the cellular level: metabolic activity, vitality, health, but also stress and toxicity. The use of advanced imaging techniques based on fluorescent/bioluminescent probes together with the availability of time-lapse acquisitions, guarantee the cutting-edge analysis of different biological parameters over time.
The proposed system is based on a high-resolution electrocardiograph in which the electrodes are positioned on maternal abdomen. The acquired signals are processed using a completely unsupervised software for fetal ECG extraction based on independent component analysis, maternal ECG canceling and a quality index optimization. The electrocardiograph is constituted by a light-weight and light-dimension portable unit, which acquires the signals and transmit them to a computer where the analysis software runs.
SITODIET is an innovative software that supports a translational approach to health’s state. It integrates various sources of physiological, behavioral, and psychological data to reduce the risks associated with the onset of lifestyle-related diseases (primary prevention), to support health professionals in early diagnosis (secondary prevention) or to manage the personalized therapy’s patient (tertiary prevention). SITODIETcollects data automatically, through actigraphy tools, as wristband or smartwatch, or manually
This technology is based on an algorithm able to provide the probability of being asthmatic with high accuracy. This probability is based on the evaluation of respiratory function and, specifically, of forced expiratory vital capacity in the first second (FEV1), in resting conditions, and 20 minutes after administration of a bronchodilator drug.
Polymer development is approaching to a new stage of advancement in which new functionalities especially in combination with conductive polymers and nanomaterials are more effective. In this context the study of new composites is the key to enable the development of disruptive technologies as additive manufacturing. Increasing electrical conductivity open the way to a new class of objects to be prototyped rapidly at low cost with a high level of customization.
We present a new concept of ultra-compact, configurable and implantable brain computer interface (BCI). The device can be applied to monitor or stimulate, with high temporal and spatial accuracy, neural activity of the brain. It allows implementation of closed-loop algorithms in real time applications. The system can be also used in vitro to monitor or induce cell growth or as tDCS tool. The system can be customized (microelectrodes materials and shapes) to guarantee the best solution for the specific application.
Our team can develop low-cost ultra-flexible sensors integrated on plastic substrate for volatile organic compounds (VOCs) and gas detection. These devices combine scalable fabrication technologies, implementing active materials such as nanostructured metal oxides or stack of nanostructures decorated with metal nanoparticles, thus enabling a high sensitivity (in the range of hundreds of ppb). These devices can be applied to numerous industrial and commercial sectors and they can be embedded in systems that are more sophisticated.
IMM has developed tactile sensors for the detection of objects and surface and for the handling of objects with humanoid robots (e-skin). These devices can be integrated on ultra-flexible and high conformable substrates and they can be used for multiple applications: 1) for a correct interaction with objects distributed in complex environment; 2) for a safe short-range interaction between humanoid robot and humans; 3) for fabricating smart wearables for the detection of biometric parameters (e.g. heartbeat); 4) for remotely control rovers with wearable gadgets.
VOLIS is an online platform that contains various tests for assessing Italian Sign Language (LIS) comprehension skills in signing children, from 4 to 11 years of age. The consequences of some difficulties such as deafness, cognitive impairments and autism spectrum disorder may affect learning, social interaction and broad communicative skills. The use of LIS may support children that have difficulties in acquiring and using a using spoken languages.
Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.