A5039539142- Advanced Sensor and Energy Harvesting Materials
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Phonocardiography and Auscultation Techniques
- Conducting polymers and applications
- Neuroscience and Neural Engineering
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Context-Aware Activity Recognition Systems
- Image Enhancement Techniques
Center for Advanced Studies Research and Development in Sardinia
2020-2021
University of Cagliari
2015-2016
To evaluate a novel kind of textile electrodes based on woven fabrics treated withPSS, through an easy fabrication process, testing these for biopotential recordings.Fabrication is raw fabric soaking inPSS using second dopant, squeezing and annealing. The have been tested human volunteers, in terms both skin contact impedance quality the ECG signals recorded at rest during physical activity (power spectral density, baseline wandering, QRS detectability, broadband noise).The are able to...
In this paper we present the development of a mat-like pressure mapping system based on single layer textile sensor and intended to be used in home environments for monitoring physical condition persons with limited mobility. The is fabricated by embroidering silver-coated yarns light cotton fabric creating pressure-sensitive resistive elements stamping conductive polymer poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PSS) at crossing points stitches. A battery-operated mat...
Finding an optimal combination of features and classifier is still open problem in the development automatic heartbeat classification systems, especially when applications that involve resource-constrained devices are considered. In this paper, a novel study selection informative use random forest while following recommendations Association for Advancement Medical Instrumentation (AAMI) inter-patient division datasets presented. Features were selected using filter method based on mutual...
Despite surface electrodes technology for biopotential recording is well established, different researches are aimed at overcoming the limitations exhibited by available solutions. In this paper, a proposal low-cost development of textile based on woven fabrics treated with polymer poly-3,4-ethylenedioxythiophene doped poly(styrene sulfonate) (PEDOT:PSS), presented. Compared to other approaches, proposed one can be exploited any finished fabric. An accurate analysis performance, impedance...
Finding an optimal combination of features and classifier is still open problem in the development automatic heartbeat classification systems, especially when applications that involve resource-constrained devices are considered. In this paper, a novel study selection informative use random forest while following recommendations Association for Advancement Medical Instrumentation (AAMI) inter-patient division datasets presented. Features were selected using filter method based on mutual...
Edge computing is the best approach for meeting exponential demand and real-time requirements of many video analytics applications. Since most recent advances regarding extraction information from images rely on computation heavy deep learning algorithms, there a growing need solutions that allow deployment use new models scalable flexible edge architectures. In this work, we present Deep-Framework, novel open source framework developing edge-oriented applications based learning....