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UStEMG: an Ultrasound Transparent Tattoo-based sEMG System for Unobtrusive Parallel Acquisitions of Muscle Electro-mechanics
(2021)2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)Human machine interfaces follow machine learning approaches to interpret muscles states, mainly from electrical signals. These signals are easy to collect with tiny devices, on tight power budgets, interfaced closely to the human skin. However, natural movement behavior is not only determined by muscle activation, but it depends on an orchestration of several subsystems, including the instantaneous length of muscle fibers, typically ...Conference Paper -
Using Low-Power, Low-Cost IoT Processors in Clinical Biosignal Research: an In-depth Feasibility Check
(2020)2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)Research on biosignal (ExG) analysis is usually performed with expensive systems requiring connection with external computers for data processing. Consumer-grade low-cost wearable systems for bio-potential monitoring and embedded processing have been presented recently, but are not considered suitable for medical-grade analyses. This work presents a detailed quantitative comparative analysis of a recently presented fully-wearable low-power ...Conference Paper -
Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester
(2018)2018 IEEE International Symposium on Circuits and Systems (ISCAS)Conference Paper -
Towards a novel HMI paradigm based on mixed EEG and indoor localization platforms
(2017)2017 New Generation of CAS (NGCAS)Conference Paper -
Towards a Wearable Interface for Food Quality Grading through ERP Analysis
(2019)Proceedings of the 2019 IEEE International Symposium on Circuits and Systems (ISCAS)Conference Paper -
An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor
(2019)2019 IEEE Sensors Applications Symposium (SAS)Conference Paper -
A wearable EEG-based drowsiness detection system with blink duration and alpha waves analysis
(2017)2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)Conference Paper