A5101575577- Muscle activation and electromyography studies
- Hand Gesture Recognition Systems
- Acoustic Wave Phenomena Research
- Advanced Sensor and Energy Harvesting Materials
- RFID technology advancements
- Advanced Adaptive Filtering Techniques
- Advanced machining processes and optimization
- Analog and Mixed-Signal Circuit Design
- EEG and Brain-Computer Interfaces
- Effects of Vibration on Health
- Balance, Gait, and Falls Prevention
- Wireless Body Area Networks
- Biometric Identification and Security
- Industrial Vision Systems and Defect Detection
- Microwave and Dielectric Measurement Techniques
- Additive Manufacturing Materials and Processes
- Wireless Signal Modulation Classification
- Energy Harvesting in Wireless Networks
- Speech and Audio Processing
- ECG Monitoring and Analysis
- Vehicle Noise and Vibration Control
- Sensor Technology and Measurement Systems
- Radio Wave Propagation Studies
- Motor Control and Adaptation
- Power Line Communications and Noise
Universidad de Navarra
2005-2024
Centro de Estudios e Investigaciones Técnicas de Gipuzkoa
2005-2018
Ikerlan
2016
A scalable system for wireless wear monitoring in a distributed harsh industrial environment, which installation of the electronic equipment near wearing measuring locations is unfeasible, has been successfully designed, developed and deployed. The composed novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LC</i> -type passive sensor system, readout coil, an equipment, unit multisensor control system. capacitor structure, employed as...
Repetitive and alternating lower limb movements are a specific component of human gait. Due to technical challenges, the neural mechanisms underlying such have not been previously studied with functional magnetic resonance imaging. In this study, we present novel treadmill device employed investigate kinematics brain activation patterns involved in repetitive limbs. Once inside scanner, 19 healthy subjects were guided by two visual cues instructed perform motor task which both limbs while...
In this work, we describe a complete step-by-step workflow to apply machine-learning (ML) classification for chipless radio-frequency identification (RFID) tag identification, covering: 1) the implementation criteria circular ring resonator (CRR) and square (SRR) arrays ML interoperability; 2) data collection procedure get sufficiently representative dataset of real measurements; 3) techniques visualize reduce its dimensionality; 4) evaluation classifier ensure high-accuracy predictions on...
Recent research shows the possibility of using electromyography (EMG) electrical signals to control devices or prosthesis. The EMG are measured in muscles, such as forearm. These can lead determine intentionality patient when performing any motor tasks, however susceptible noise due voltage sensed, which is microvolts scale. In this work, preprocessing includes design and test a filter. Our designed filter allows eliminating signal components from network other sources that not signals. To...
Portable systems and global communications open a broad spectrum for new health applications. In the framework of electrophysiological applications, several challenges are faced when developing portable embedded in Cloud computing services. order to facilitate developers this area based on our experience, five areas interest presented paper where strategies can be applied improving performance systems: transducer conditioning, processing, wireless communications, battery power management....
Testing an Active Noise Control (ANC) system often requires performing numerous and tedious experiments. In many cases, it is difficult expensive to perform these measurements in the actual place where ANC going be applied. A good example suppression of disturbing noise a railway sleeping car application. this paper we propose easy implement simulation tool adjust predict behaviour system. To check degree accuracy proposed method, complete setup was installed laboratory obtain experimental...