Institution · PLUX - Wireless Biosignals (Portugal)
Most cited papers from PLUX - Wireless Biosignals (Portugal)
What are the most cited papers from PLUX - Wireless Biosignals (Portugal)?
The most cited paper from PLUX - Wireless Biosignals (Portugal) is "Respiratory and heart rate monitoring using an FBG 3D-printed wearable system" (Cátia Tavares, Cátia Leitão, Daniela Lo Presti et al., 2022), with 89 citations. Next come "From Biodata to Somadata" (82) and "Human activity data discovery from triaxial accelerometer sensor: Non-supervised learning sensitivity to feature extraction parametrization" (81).
Showing 50 of 61 papers. Every paper with more than 2 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Respiratory and heart rate monitoring using an FBG 3D-printed wearable system Cátia Tavares, Cátia Leitão, Daniela Lo Presti et al. · Biomedical Optics Express | 4 Feb 2022 | 89 |
| 2 | From Biodata to Somadata Miquel Alfaras, Vasiliki Tsaknaki, Pedro Sanches et al. | 21 Apr 2020 | 82 |
| 3 | Human activity data discovery from triaxial accelerometer sensor: Non-supervised learning sensitivity to feature extraction parametrization Ines Prata Machado, Ana Luísa Gomes, Hugo Filipe Silveira Gamboa et al. · Information Processing & Management | 17 Nov 2014 | 81 |
| 4 | PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets Kiriakos Stefanidis et al. · Nutrients | 21 Oct 2022 | 61 |
| 5 | Multimodal biosignal sensor data handling for emotion recognition Filipe Canento, Ana L. N. Fred, Hugo Silva et al. | Oct 2011 | 57 |
| 6 | Articulating Soma Experiences using Trajectories Paul Tennent, Kristina Höök, Steve Benford et al. | 6 May 2021 | 55 |
| 7 | Soma Design and Sensory Misalignment Paul Tennent, Joe Marshall, Vasiliki Tsaknaki et al. | 21 Apr 2020 | 49 |
| 8 | Automatic Cognitive Fatigue Detection Using Wearable fNIRS and Machine Learning Rui Sousa Pedro Varandas, Rodrigo Lima, Sergi Bermúdez i Badia et al. · Sensors | 25 May 2022 | 42 |
| 9 | Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor Guilherme dos Alexandre Santos Espadanal Ramos, João Rocha Vaz, Gonçalo V. Mendonça et al. · Journal of Healthcare Engineering | 7 Jan 2020 | 41 |
| 10 | Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach Sofia B. Dias et al. · Frontiers in Nutrition | Jul 2022 | 40 |
| 11 | Wheelchair Pressure Ulcer Prevention Using FBG Based Sensing Devices Cátia Tavares, M. Fátima Domingues, Tiago Paixão et al. · Sensors | 30 Dec 2019 | 40 |
| 12 | Autonomic nervous system response to remote ischemic conditioning: heart rate variability assessment Daniel Osório, Ricardo Viana-Soares, João Pedro Marto et al. · BMC Cardiovascular Disorders | 9 Sep 2019 | 38 |
| 13 | ThermoPixels Muhammad Umair, Corina Sas, Miquel Alfaras | 3 Jul 2020 | 37 |
| 14 | Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies Miquel Alfaras, William Primett, Muhammad Umair et al. · Sensors | 22 Oct 2020 | 32 |
| 15 | Heart Rate Variability and Electrodermal Activity in Mental Stress Aloud: Predicting the Outcome Rodrigo Lima, Daniel Osório, Hugo Filipe Silveira Gamboa | 2019 | 31 |
| 16 | Designing to support prescribed home exercises Hitee Chandra, Ian Oakley, Hugo Silva | 14 Oct 2012 | 30 |
| 17 | Multimodal emotion classification using machine learning in immersive and non-immersive virtual reality Rodrigo Lima, Alice Chirico, Rui Sousa Pedro Varandas et al. · Virtual Reality | 6 May 2024 | 26 |
| 18 | PeRsOnalised nutriTion for hEalthy livINg: The PROTEIN project Saskia Wilson-Barnes et al. · Nutrition Bulletin | 19 Feb 2021 | 23 |
| 19 | Characterization and Validation of Flexible Dry Electrodes for Wearable Integration Tiago Nunes, Hugo Silva · Sensors | 28 Jan 2023 | 22 |
| 20 | Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease Sofia B. Dias et al. · Frontiers in Psychology | 14 Jan 2021 | 21 |
| 21 | Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm Sofia B. Dias et al. · Frontiers in Computer Science | 21 Jul 2020 | 21 |
| 22 | Designing Interactive Visuals for Dance from Body Maps: Machine Learning and Composite Animation Approaches Nuno N. Correia, Raul Masu, William Primett et al. · Designing Interactive Systems Conference | 12 Jun 2022 | 19 |
| 23 | Optically Instrumented Insole for Gait Plantar and Shear Force Monitoring Cátia Tavares, F. D. Leite, M. Fátima Domingues et al. · IEEE Access | 2021 | 19 |
| 24 | Instrumented Office Chair With Low-Cost Plastic Optical Fiber Sensors for Posture Control and Work Conditions Optimization Cátia Tavares, Joao Oliveira E. Silva, André M. S. Mendes et al. · IEEE Access | 2022 | 18 |
| 25 | How do Dancers Want to Use Interactive Technology? Raul Masu, Nuno N. Correia, Stephan Jürgens et al. | 23 Oct 2019 | 18 |
| 26 | Gender Differences in Knee Stability in Response to Whole-Body Vibration Borja Sañudo, Adrián Feria Madueño, Luís Carrasco Páez et al. · The Journal of Strength and Conditioning Research | 13 Oct 2011 | 17 |
| 27 | Does whole body vibration training affect knee kinematics and neuromuscular control in healthy people? Borja Sañudo, Adrián Feria Madueño, Luís Carrasco Páez et al. · Journal of Sports Sciences | 16 Aug 2012 | 16 |
| 28 | Cardiac autonomic response during recovery from a maximal exercise using whole body vibration Borja Sañudo, Manuel César-Castillo, Sergio Tejero et al. · Complementary Therapies in Medicine | 10 Jun 2013 | 16 |
| 29 | Attention Classification Based on Biosignals during Standard Cognitive Tasks for Occupational Domains Patricia del Carmen Aguirre Gamboa, Rui Sousa Pedro Varandas, João Manuel de Almeida Rodrigues et al. · Computers | 24 Mar 2022 | 14 |
| 30 | Heart Rate Variability and Electrodermal Activity Biosignal Processing: Predicting the Autonomous Nervous System Response in Mental Stress Rodrigo Lima, Daniel Osório, Hugo Filipe Silveira Gamboa · Communications in computer and information science | 2020 | 13 |
| 31 | Generic Biometry Algorithm Based on Signal Morphology Information: Application in the Electrocardiogram Signal Tiago Araújo, Neuza Nunes, Hugo Filipe Silveira Gamboa et al. · Advances in intelligent systems and computing | 23 Nov 2014 | 13 |
| 32 | A simple pendulum studied with a low-cost wireless acquisition board João Filipe Pereira Domingues Alho, Hugo Silva, Vítor Duarte Teodoro et al. · Physics Education | 19 Nov 2018 | 12 |
| 33 | Sensor Cell Network for Pressure, Temperature and Position Detection on Wheelchair Users Cátia Tavares, Daniela Real, M. Fátima Domingues et al. · International Journal of Environmental Research and Public Health | 15 Feb 2022 | 11 |
| 34 | Experiencing discomfort Muhammad Umair, Miquel Alfaras, Hugo Filipe Silveira Gamboa et al. | 9 Sep 2019 | 11 |
| 35 | Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors Ana Pereira, Duarte Folgado, Ricardo Cotrim et al. | 2019 | 11 |
| 36 | Electrodermal Activity Analysis at Different Body Locations Patricia del Carmen Aguirre Gamboa, Rui Sousa Pedro Varandas, Katrin Mrotzeck et al. · Sensors | 12 Mar 2025 | 10 |
| 37 | Quantified Explainability: Convolutional Neural Network Focus Assessment in Arrhythmia Detection Rui Sousa Pedro Varandas, Bernardo Gonçalves, Hugo Filipe Silveira Gamboa et al. · BioMedInformatics | 17 Jan 2022 | 9 |
| 38 | European advances in digital rheumatology: explainable insights and personalized digital health tools for psoriatic arthritis Leontios J. Hadjileontiadis, Vasileios S. Charisis, Stelios Hadjidimitriou et al. · EClinicalMedicine | 17 May 2025 | 8 |
| 39 | Real-Time Approach to HRV Analysis Guilherme dos Alexandre Santos Espadanal Ramos, Miquel Alfaras, Hugo Filipe Silveira Gamboa | 2018 | 8 |
| 40 | Evaluation of Motor Neuron Excitability by CMAP Scanning with Electric Modulated Current Tiago Araújo, Rui Dinis Teodoro Candeias, Neuza Nunes et al. · Neuroscience Journal | 27 Aug 2015 | 8 |
| 41 | Surface electromyography for testing motor dysfunction in amyotrophic lateral sclerosis Carla Quintão, Ricardo Vigário, Maria Marta Santos et al. · Neurophysiologie Clinique | 23 Jun 2021 | 7 |
| 42 | User needs in the performance of prescribed home exercise therapy Hitee Chandra, Ian Oakley, Hugo Silva | 5 May 2012 | 7 |
| 43 | Towards Improving the Usability of Electromyographic Interfaces Hugo Silva, Reinhold Scherer, JOANA D ARC MARCELINO DE SOUSA et al. · Biosystems & biorobotics | 2013 | 7 |
| 44 | Ring-Topology Echo State Networks for ICU Sepsis Classification Miquel Alfaras, Rui Sousa Pedro Varandas, Hugo Filipe Silveira Gamboa · Computing in cardiology | 30 Dec 2019 | 6 |
| 45 | Automated Detection of Mind Wandering: A Mobile Application Marcus Cheetham, Cátia Cepeda, Hugo Filipe Silveira Gamboa | 2016 | 6 |
| 46 | One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks Vânia Guimar�ães, Inês Sousa, RODRIGO FAUCZ MUNHOZ DA CUNHA et al. · Computer Methods and Programs in Biomedicine | 22 Nov 2024 | 5 |
| 47 | Electromyography in Front Crawl Technique - Case Study~!2009-07-05~!2009-11-01~!2010-04-29~! Ana Conceição, A. Silva, Susana Palma et al. · The Open Sports Sciences Journal | 4 May 2010 | 5 |
| 48 | Comparison of Different Polymeric Materials for Mobile Off-the-Person ECG Daniel Osório, Alexandre Pitães, Nuno Gonçalves et al. · EAI/Springer Innovations in Communication and Computing | 13 Dec 2019 | 4 |
| 49 | A WIRELESS USER-COMPUTER INTERFACE TO EXPLORE VARIOUS SOURCES OF BIOSIGNALS AND VISUAL BIOFEEDBACK FOR SEVERE MOTOR IMPAIRMENT Ana Rita M. Londral, Hugo Silva, Neuza Nunes et al. · RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya) | 2013 | 4 |
| 50 | A New Tool for the Automatic Detection of Muscular Voluntary Contractions in the Analysis of Electromyographic Signals Angela Pimentel, Ricardo Gomes, Bjørn Harald Olstad et al. · Interacting with Computers | 11 Mar 2015 | 4 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.