A5084063480- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- Non-Invasive Vital Sign Monitoring
- Context-Aware Activity Recognition Systems
- Emotion and Mood Recognition
- Wireless Body Area Networks
- Heart Rate Variability and Autonomic Control
- Advanced Sensor and Energy Harvesting Materials
- Mobile Health and mHealth Applications
- Healthcare Technology and Patient Monitoring
- Muscle activation and electromyography studies
- Blind Source Separation Techniques
- Stroke Rehabilitation and Recovery
- Ergonomics and Musculoskeletal Disorders
- Neural dynamics and brain function
- Sports Performance and Training
- Mental Health Research Topics
- Digital Mental Health Interventions
- Tactile and Sensory Interactions
- Usability and User Interface Design
- Tuberculosis Research and Epidemiology
- Hemodynamic Monitoring and Therapy
- Health, Nursing, Elderly Care
- Neural Networks and Applications
- Innovative Human-Technology Interaction
Instituto Superior Técnico
2016-2025
Instituto de Telecomunicações
2016-2025
University of Lisbon
2015-2025
PLUX - Wireless Biosignals (Portugal)
2012-2025
Instituto Politécnico de Lisboa
2011-2024
Polytechnic Institute of Porto
2017-2024
Centro Hospitalar Lisboa Norte
2023
Escola Superior de Saúde da Cruz Vermelha Portuguesa
2023
Institute for Biotechnology and Bioengineering
2023
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2011-2023
The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability, requiring at chest. In this paper, we propose a finger-based biometric system, that uses signals collected fingers, through minimally intrusive 1-lead setup recurring Ag/AgCl electrodes without gel as interface with skin. is significantly more noisy than...
The seminal work on Affective Computing in 1995 by Picard set the base for computing that relates to, arises from, or influences emotions. is a multidisciplinary field of research spanning areas computer science, psychology, and cognitive science. Potential applications include automated driver assistance, healthcare, human-computer interaction, entertainment, marketing, teaching many others. Thus, quickly, acquired high interest, with an enormous growth number papers published topic since...
Introduction Anterior cruciate ligament (ACL) injury is common in high-intensity sports and impacts knee stability. ACL reconstruction the standard intervention to restore function prevent complications such as osteoarthritis. The type of graft surgical technique influence clinical outcomes patient recovery. Methodology This systematic review followed PRISMA guidelines, analyzing studies published between 2014 2024 from databases PubMed Medline. Clinical trials, observational studies, case...
The low-cost multimodal platform BITalino is being increasingly used for educational and research purposes. However, there still a lack of well-structured work comparing data acquired by this toolkit against reference device, using established experimental protocols. This intends to fill the said gap benchmarking performance BioPac MP35 Student Lab Pro device. followed methodical protocol acquire from two devices simultaneously. Four physiological signals were acquired: electrocardiography,...
This work proposes a 3D-printed sensor based on fiber Bragg grating (FBG) technology for respiratory rate (RR) and heart (HR) monitoring. Each is composed of single FBG fully encapsulated into 3D-printable
Over the past few years, evaluation of Electrocardio-graphic (ECG) signals as a prospective biometric modality has revealed promising results. Given vital and continuous nature this information source, ECG offer several advantages to field biometrics; yet, challenges currently prevent from being adopted in operational settings. These arise partially due signal's clinical tradition intru-siveness, but also lack evidence on permanence templates over time. The problem in-trusiveness been...
Physical computing has spun a true global revolution in the way that digital world now interfaces with physical one. From Twitter-controlled Christmas trees to bicycle jackets turn signal lights, do-it-yourself movement is driving endless innovations and stimulating an age of creative engineering. The authors present novel development platform extends principles physiological domain, changing which projects applications involving data can be made.
Emotion recognition based on physiological data classification has been a topic of increasingly growing interest for more than decade. However, there is lack systematic analysis in literature regarding the selection classifiers to use, sensor modalities, features and range expected accuracy, just name few limitations. In this work, we evaluate emotion terms low/high arousal valence through Supervised Learning (SL), Decision Fusion (DF) Feature (FF) techniques using multimodal data, namely,...
The electrocardiogram (ECG) is a non-invasive and widely used technique for cardiac electrophysiological assessment. Although the ECG has traditionally only been functional diagnostic evaluation, several advances in sensing have made available robust signal acquisition devices, particularly suited ambulatory conditions, widening its range of applications. In particular, recent work shown potential as biometric trait, both human identification authentication. This study sets ground an...
Multidrug- (MDR) and extensively drug resistant (XDR) tuberculosis (TB) presents a challenge to disease control elimination goals. In Lisbon, Portugal, specific successful XDR-TB strains have been found in circulation for almost two decades. the present study we genotyped sequenced genomes of 56 Mycobacterium isolates recovered mostly from Lisbon. The genotyping data revealed three major clusters associated with MDR-TB, which are XDR-TB. Whilst genomic contributed elucidate phylogenetic...
AI-based software applications for personalized nutrition have recently gained increasing attention to help users follow a healthy lifestyle. In this paper, we present knowledge-based recommendation framework that exploits an explicit dataset of expert-validated meals offer highly accurate diet plans spanning across ten user groups both subjects and participants with health conditions. The proposed advisor is built on novel architecture includes (a) qualitative layer verifying ingredient...
In recent years, employment in sedentary occupations has continuously risen. Office workers are more prone to prolonged static sitting, spending 65−80% of work hours increasing risks for multiple health problems, including cardiovascular diseases and musculoskeletal disorders. These adverse effects lead decreased productivity, increased absenteeism care costs. However, lack regulation targeting these issues oftentimes left them unattended. This article proposes a smart chair system, with...
Abstract Affective computing has experienced substantial advancements in recognizing emotions through image and facial expression analysis. However, the incorporation of physiological data remains constrained. Emotion recognition with shows promising results controlled experiments but lacks generalization to real-world settings. To address this, we present G-REx, a dataset for affective computing. We collected (photoplethysmography electrodermal activity) using wrist-worn device during...
We present an experimental setup, sensor data handling, and evaluation framework for emotion recognition, based on multimodal biosignal data. For labeled acquisition we developed elicitation block, with a bank of videos containing different triggering stimuli. A apparatus was used to collect data, namely: Electromyography (EMG); Electrocardiography (ECG); Electrodermal Activity (EDA); Blood Volume Pulse (BVP); Peripheral Temperature (SKT); Respiration (RESP). An automated processing feature...
The field of biometrics is a pattern recognition problem, where the individual traits are coded, registered, and compared with other database records. Due to difficulties in reproducing Electrocardiograms (ECG), their usage has been emerging biometric for more secure applications. Inspired by high performance shown Deep Neural Networks (DNN) mitigate intra-variability challenges displayed ECG each individual, this work proposes two architectures improve current results both identification...
Wearable sensors have increasingly been applied in healthcare to generate data and monitor patients unobtrusively. Their application for Brain-Computer Interfaces (BCI) allows unobtrusively monitoring one's cognitive state over time. A particular relevant multiple domains is fatigue, which may impact performance attention, among other capabilities. The of this will be real learning settings detect advise on effective break periods. In study, two functional near-infrared spectroscopy (fNIRS)...
When long-term biosignal monitoring is required via surface electrodes, the use of conventional silver/silver chloride (Ag/AgCl) gelled electrodes may not be best solution, as gel in tends to dry out over time. In this work, electrical behaviour and performance for biopotential was assessed. Three materials were investigated compared against gold-standard Ag/AgCl electrodes. To characterize their behaviour, impedance response frequency evaluated, well its signal noise ratio. The electrodes'...
During group interactions, we react and modulate our emotions behaviour to the through phenomena including emotion contagion physiological synchrony. Previous work on recognition video/image has shown that context information improves classification performance. However, when using data, literature mostly focuses intrapersonal models leave-out information, while interpersonal are unexplored. This paper introduces a new Weighted Group Synchrony approach, which relies Electrodermal Activity...