Ana Londral

Scopus Publications

Mapping Methodologies for Economic Evaluation of Digital Health Technologies: A Scoping Review
Ana Rita Santos, Francisco von Hafe, Filipa Sampaio, Ana Rita Londral, Julian Perelman
Value in Health, 2026
OBJECTIVES: Digital health technologies (DHTs) are reshaping healthcare delivery; yet, their diverse functionalities, dynamic nature, and nontraditional impact pathways challenge conventional economic evaluation methods. This scoping review aimed to systematically map existing frameworks for the economic evaluation of DHTs, assess their methodological components, and identify gaps to inform more robust, standardized approaches. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews guidelines, we conducted a comprehensive literature search across academic databases (PubMed, Scopus, Web of Science, and Business Source Complete) and gray literature. Records published since 2015 were included if they described frameworks incorporating economic evaluation methods for DHTs. Data were extracted across the following key methodological dimensions: evaluation type, study design, comparator, time horizon, perspective, effectiveness measures, cost components, and uncertainty analysis. RESULTS: We identified 26 frameworks, and the analysis revealed pronounced heterogeneity across methodological domains. Although 50% (n = 13) included both full and partial evaluations, core components were often missing: 81% (n = 21) did not define a time horizon, and in 73% (n = 19) the evaluation perspective was absent. Cost-utility analysis and budget impact analysis were the most frequently cited methods; yet, few frameworks justified their choice or linked it to the maturity of the technology. Some addressed adaptive study designs or aligned evaluation strategies with DHTs lifecycle stages. Cost inclusions varied substantially, with limited attention to productivity losses costs. CONCLUSIONS: Current frameworks lack standardization and are not fully adapted to the characteristics of DHTs. Future development should prioritize flexible, lifecycle-aligned evaluation models and standardized guidance to support evidence-based digital health decision making.
Mapping methodologies for economic assessment of digital health technologies: a scoping review protocol
Ana Rita Santos, Filipa Sampaio, Ana Rita Londral, Julian Perelman
BMJ Open, 2025
Introduction Digital health technologies (DHTs) have emerged as transformative tools capable of improving healthcare delivery, reducing costs and enhancing patient care. Despite their potential, the integration of DHTs into healthcare systems is challenged by the lack of clear frameworks for evaluating their cost-effectiveness. Economic evaluations are crucial to guide the adoption and financing of these technologies. However, conventional frameworks often fail to address the unique characteristics and complexities of DHTs fully. This scoping review aims to map the existing frameworks for economic evaluation of DHTs and identify methodological approaches that can inform and guide future assessments. Methods and analysis We will conduct a scoping review following the Joanna Briggs Institute methodology and report findings according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols and Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews guidelines. A systematic search will be conducted in electronic databases (PubMed, Web of Science, Scopus and Business Source Complete) and grey literature sources for studies published since 2015. Included studies must focus on health technology assessment or economic evaluation frameworks tailored to DHTs, addressing economic evaluation methodologies. The data will be extracted using a customised template, and a narrative summary, along with descriptive statistics, will be employed to synthesise the findings. Ethics and dissemination Since this review involves publicly available data, ethical approval is not required. The findings will be disseminated through peer-reviewed publications and presentations at relevant conferences. This review aims to provide evidence-based recommendations for integrating DHTs into healthcare systems, influencing policy and guiding future research in health economics.
Features of Remote Patient Monitoring Systems That Implement Integrated Care: A Perspective Aligned With Current Challenges for Digital Health Technologies Comment on “Towards A Framework for Implementing Remote Patient Monitoring From an Integrated Care Perspective: A Scoping Review”
Ana Londral
International Journal of Health Policy and Management, 2025
This commentary elaborates on the model proposed by Miranda et al. for implementing Remote Patient Monitoring (RPM) from an integrated care perspective. It stresses the complexity of RPM deployment as a digital health technology (DHT) and discusses essential features that developers and procurement managers should take into consideration in RPM systems to facilitate the implementation of integrated care practices. Furthermore, three major challenges for DHT implementation that align with the the proposed RPM-based integrated care model are discussed: (1) the success of DHT in implementing a healthcare strategy requires elements of service innovation that align to the context of care delivery; (2) evidence generation methods influence the adoption of DHT and need an evolutive and multistakeholder perspective. (3) governance and policy strategies are crucial since they profoundly influence digital health priorities, investments and resource allocation within organizations and healthcare systems.
User-Centered and Technical Requirements for Myoelectric Pediatric Arm Prosthesis Design: A Preliminary Study
Ana Oliveira, Ana Londral, Ana Giordano, Bruno Soares, Cláudia Quaresma
IFIP Advances in Information and Communication Technology, 2025
Multi-activity 3D printed assistive technology in children: A case study
João Silva, Matilde Silva, Bruno Soares, Carla Quintão, Ana Rita Londral, Cláudia Quaresma
Assistive Technology, 2025
Congenital limb defects occur when a limb does not develop normally during pregnancy. The quality of each person's everyday life is significantly impacted by any of these defects and there is no concrete treatment. 3D modeling and printing, enables the creation and customization of precise virtual and/or physical models, including models of the human anatomy. These technologies provide a novel method of producing new devices with optimized design and production time, improving adaptability, and incorporating functionality. To this end, we propose a method of designing and producing 3D printed assistive devices and we also present an example of an assistive device, done in the 3D Printing Center for Health, as well as its impact on the patient's daily life. With this device, the patient became able to play the guitar and hold a knife, thus helping on these two activities.
A conversational agent for enhanced Self-Management after cardiothoracic surgery
Ana Martins, Luís Velez Lapão, Isabel L. Nunes, Ana Paula Giordano, Helena Semedo, Clara Vital, Raquel Silva, Pedro Coelho, Ana Londral
International Journal of Medical Informatics, 2024
• Conversational agents can enhance the recovery of patients after cardiothoracic surgery by improving their self-management skills. • Employing iterative and co-design methods adds value to the solution, ensuring its sustainability. • It is crucial to ensure that digital solutions are seamlessly integrated into the workflows of healthcare professionals. • Leveraging generative artificial intelligence can significantly enhance patient engagement; however, it is crucial to ensure the technology’s reliability and trustworthiness. Enhanced self-management is crucial for long-term survival following cardiothoracic surgery. This study aimed to develop a conversational agent to enhance patient self-management after cardiothoracic surgery. The solution was designed and implemented following the Design Science Research Methodology. A pilot study was conducted at the hospital to assess the feasibility, usability, and perceived effectiveness of the solution. Feedback was gathered to inform further interactions. Additionally, a focus group with clinicians was conducted to evaluate the acceptability of the solution, integrating insights from the pilot study. The conversational agent, implemented using a rule-based model, was successfully tested with patients in the cardiothoracic surgery unit (n = 4). Patients received one month of text messages reinforcing clinical team recommendations on a healthy diet and regular physical activity. The system received a high usability score, and two patients suggested adding a feature to answer user prompts for future improvements. The focus group feedback indicated that while the solution met the initial requirements, further testing with a larger patient cohort is necessary to establish personalized profiles. Moreover, clinicians recommended that future iterations prioritize enhanced personalization and interoperability with other hospital platforms. Additionally, while the use of artificial generative intelligence was seen as relevant for content personalization, clinicians expressed concerns regarding content safety, highlighting the necessity for rigorous testing. This study marks a significant step towards enhancing post-cardiothoracic surgery care through conversational agents. The integration of a diversity of stakeholder knowledge enriches the solution, grants ownership and ensures its sustainability. Future research should focus on automating message generation and delivery based on patient data and environmental factors. While the integration of artificial generative intelligence holds promise for enhancing patient interaction, ensuring the safety of its content is essential.
Assessment of the Impact of Home-Based Hospitalization on Health Outcomes: An Observational Study
Pedro Correia Azevedo, Cátia Rei, Rui Grande, Mariana Saraiva, Federico Guede-Fernández, Eduarda Oliosi, Ana Londral
Acta Medica Portuguesa, 2024
Introduction: In Portugal, evidence of clinical outcomes within home-based hospitalization programs remains limited. Despite the adoption of homebased hospitalization services, it is still unclear whether these services represent an effective way to manage patients compared with inpatient hospital care. Therefore, the aim of this study was to evaluate the outcomes of home-based hospitalization compared with conventional hospitalization in a group of patients with a primary diagnosis of infectious, cardiovascular, oncological, or ‘other’ diseases.Methods: An observational retrospective study using anonymized administrative data to investigate the outcomes of home-based hospitalization (n = 209) and conventional hospitalization (n = 192) for 401 Portuguese patients admitted to CUF hospitals (Tejo, Cascais, Sintra, Descobertas, and the Unidade de Hospitalização Domiciliária CUF Lisboa). Data on demographics and clinical outcomes, including Barthel index, Braden scale, Morse scale, mortality, and length of hospital stay, were collected. The statistical analysis included comparison tests and logistic regression.Results: The study found no statistically significant differences between patients’ admission and discharge for the Barthel index, Braden scale, and Morse scale scores, for both conventional and home-based hospitalizations. In addition, no statistically significant differences were found in the length of stay between conventional and home-based hospitalization, although patients diagnosed with infectious diseases had a longer stay than patients with other conditions. Although the mortality rate was higher in home-based hospitalization compared to conventional hospitalization, the mortality risk index (higher in home-based hospitalization) assessed at admission was a more important predictor of death than the type of hospitalization.Conclusion: The study found that there were no significant differences in outcomes between conventional and home-based hospitalization. Home-based hospitalization was found to be a valuable aspect of patient- and family-centered care. However, it is noteworthy that patients with infectious diseases experienced longer hospital stays.
Unlocking human-like conversations: Scoping review of automation techniques for personalized healthcare interventions using conversational agents
Ana Martins, Ana Londral, Isabel L. Nunes, Luís V. Lapão
International Journal of Medical Informatics, 2024
BACKGROUND: Conversational agents (CAs) offer a sustainable approach to deliver personalized interventions and improve health outcomes. OBJECTIVES: To review how human-like communication and automation techniques of CAs in personalized healthcare interventions have been implemented. It is intended for designers and developers, computational scientists, behavior scientists, and biomedical engineers who aim at developing CAs for healthcare interventions. METHODOLOGY: A scoping review was conducted in accordance with PRISMA Extension for Scoping Review. A search was performed in May 2023 in Web of Science, Pubmed, Scopus and IEEE databases. Search results were extracted, duplicates removed, and the remaining results were screened. Studies that contained personalized and automated CAs within the healthcare domain were included. Information regarding study characterization, and human-like communication and automation techniques was extracted from articles that met the eligibility criteria. RESULTS: Twenty-three studies were selected. These articles described the development of CAs designed for patients to either self-manage their diseases (such as diabetes, mental health issues, cancer, asthma, COVID-19, and other chronic conditions) or to enhance healthy habits. The human-like communication characteristics studied encompassed aspects like system flexibility, personalization, and affective characteristics. Seven studies used rule-based models, eleven applied retrieval-based techniques for content delivery, five used AI models, and six integrated affective computing. CONCLUSIONS: The increasing interest in employing CAs for personalized healthcare interventions is noteworthy. The adaptability of dialogue structures and personalization features is still limited. Unlocking human-like conversations may encompass the use of affective computing and generative AI to help improve user engagement. Future research should focus on the integration of holistic methods to describe the end-user, and the safe use of generative models.
Effectiveness of the KC@H programme compared with clinic-based rehabilitation in patients recovering from ACL reconstruction: a study protocol for a single-centre, two-arm, single-blinded, randomised controlled superiority trial
Joana Alegrete, Nuno Batalha, Orlando Fernandes, Jose Alberto Parraca, Ana Maria Rodrigues, Ana Rita Londral, João Paulo Sousa
BMJ Open Sport and Exercise Medicine, 2024
Patients who cannot fully comply with conventional clinic-based rehabilitation (CR) sessions after ACL reconstruction (ACLR) may find additional internet-based sessions beneficial. These remote sessions include therapeutic exercises that can be done at home, potentially extending the reach of rehabilitation services to underserved areas, prolonging the duration of care and providing improved supervision. The study’s main purpose is to determine if the Knee Care at Home (KC@H) programme is more effective than conventional CR alone in improving patient-reported, clinician-reported and physical functional performance outcome measures after ACLR. Additionally, the trial assesses the significance of changes in outcome measures for clinical practice.This protocol outlines a randomised controlled trial for postoperative recovery following ACLR. Adult participants of both sexes who meet specific criteria will be randomly assigned to either the CR group or the KC@H group. Only the latter group will receive internet-based sessions of therapeutic exercises at home and CR sessions. A follow-up evaluation will be conducted for both groups 12 weeks after the intervention ends.The trial protocol was approved by the Ethics Committee of the Universidade de Évora and complies with the Code of Ethics of the World Medical Association. All recordings will be stored on a secure server with limited access and deleted as soon as they are no longer needed.The KC@H programme is expected to be superior to conventional CR for patients recovering from ACLR across multiple outcome measures. Also, the programme has the potential to promote superior recovery and extend the reach and duration of care.Trial registration number:NCT05828355.
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources
Ricardo Santos, Bruno Ribeiro, Inês Sousa, Jorge Santos, Federico Guede-Fernández, Pedro Dias, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Ana Londral
International Journal of Medical Informatics, 2024
Cardiac surgery patients are highly prone to severe complications post-discharge. Close follow-up through remote patient monitoring can help detect adverse outcomes earlier or prevent them, closing the gap between hospital and home care. However, equipment is limited due to economic and human resource constraints. This issue raises the need for efficient risk estimation to provide clinicians with insights into the potential benefit of remote monitoring for each patient. Standard models, such as the EuroSCORE, predict the mortality risk before the surgery. While these are used and validated in real settings, the models lack information collected during or following the surgery, determinant to predict adverse outcomes occurring further in the future. This paper proposes a Clinical Decision Support System based on Machine Learning to estimate the risk of severe complications within 90 days following cardiothoracic surgery discharge, an innovative objective underexplored in the literature. Health records from a cardiothoracic surgery department regarding 5 045 patients (60.8% male) collected throughout ten years were used to train predictive models. Clinicians' insights contributed to improving data preparation and extending traditional pipeline optimization techniques, addressing medical Artificial Intelligence requirements. Two separate test sets were used to evaluate the generalizability, one derived from a patient-grouped 70/30 split and another including all surgeries from the last available year. The achieved Area Under the Receiver Operating Characteristic curve on these test sets was 69.5% and 65.3%, respectively. Also, additional testing was implemented to simulate a real-world use case considering the weekly distribution of remote patient monitoring resources post-discharge. Compared to the random resource allocation, the selection of patients with respect to the outputs of the proposed model was proven beneficial, as it led to a higher number of high-risk patients receiving remote monitoring equipment.
Enhancing postoperative anticoagulation therapy with remote patient monitoring: A pilot crossover trial study to evaluate portable coagulometers and chatbots in cardiac surgery follow-up
Federico Guede-Fernández, Tiago Silva Pinto, Helena Semedo, Clara Vital, Pedro Coelho, Maria Eduarda Oliosi, Salomé Azevedo, Pedro Dias, Ana Londral
Digital Health, 2024
Image Analysis System for Early Detection of Cardiothoracic Surgery Wound Alterations Based on Artificial Intelligence Models
Catarina Pereira, Federico Guede-Fernández, Ricardo Vigário, Pedro Coelho, José Fragata, Ana Londral
Applied Sciences Switzerland, 2023
Conversational Agent Automation for Patients After Cardiothoracic Surgery Based on Clinical Team Experience and Behavior Change Theory
Ana Martins, Isabel L. Nunes, Luís Velez Lapão, Ana Londral
Applied Human Factors and Ergonomics International, 2023
Popularizing Terminology Using Social Networks: Keeping Citizens Informed About Value in Health Care (Short Paper)
Ceur Workshop Proceedings, 2023
Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery
Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernández, Pedro Coelho, Jorge Santos, José Fragata, Ana Londral, Inês Sousa
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery
Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral
Lecture Notes in Computer Science, 2023
Scaling-up digital follow-up care services: collaborative development and implementation of Remote Patient Monitoring pilot initiatives to increase access to follow-up care
Salomé Azevedo, Federico Guede-Fernández, Francisco von Hafe, Pedro Dias, Inês Lopes, Nuno Cardoso, Pedro Coelho, Jorge Santos, José Fragata, Clara Vital, Helena Semedo, Ana Gualdino, Ana Londral
Frontiers in Digital Health, 2022
Case management intervention of high users of the emergency department of a Portuguese hospital: a before-after design analysis
Simão Gonçalves, Francisco von Hafe, Flávio Martins, Carla Menino, Maria José Guimarães, Andreia Mesquita, Susana Sampaio, Ana Rita Londral
BMC Emergency Medicine, 2022
Developing and validating high-value patient digital follow-up services: a pilot study in cardiac surgery
A. Londral, S. Azevedo, P. Dias, C. Ramos, J. Santos, F. Martins, R. Silva, H. Semedo, C. Vital, A. Gualdino, J. Falcão, L. V. Lapão, P. Coelho, J. G. Fragata
BMC Health Services Research, 2022
Machine Learning Approaches for the Frailty Screening: A Narrative Review
Eduarda Oliosi, Federico Guede-Fernández, Ana Londral
International Journal of Environmental Research and Public Health, 2022
Assistive Technologies for Communication Empower Patients With ALS to Generate and Self-Report Health Data
Ana Londral
Frontiers in Neurology, 2022
Scale-up of Digital Innovations in Health Care: Expert Commentary on Enablers and Barriers
Hannes Schlieter, Lisa A Marsch, Diane Whitehouse, Lena Otto, Ana Rita Londral, Gisbert Wilhelm Teepe, Martin Benedict, Joseph Ollier, Tom Ulmer, Nathalie Gasser, Sabine Ultsch, Bastian Wollschlaeger, Tobias Kowatsch
Journal of Medical Internet Research, 2022
Which outcomes are most important to measure in patients with COVID-19 and how and when should these be measured? Development of an international standard set of outcomes measures for clinical use in patients with COVID-19: A report of the International Consortium for Health Outcomes Measurement (ICHOM) COVID-19 Working Group
William H Seligman, Luz Fialho, Nick Sillett, Christina Nielsen, Farhala M Baloch, Philip Collis, Ingel K M Demedts, Marcelo P Fleck, Maiara A Floriani, Lucinda E K Gabriel, Joel J Gagnier, Anju Keetharuth, Ana Londral, Ingvar I L Ludwig, Carlos Lumbreras, Alejandro Moscoso Daza, Nasreen Muhammad, Gisele A Nader Bastos, Christine W Owen, John H Powers, Anne-Marie Russell, Michaela K Smith, Tracy Y-P Wang, Evan K Wong, Douglas C Woodhouse, Eyal Zimlichman, Kees Brinkman
BMJ Open, 2021
Domains and methods used to assess home telemonitoring scalability: Systematic review
Salome Azevedo, Teresa Cipriano Rodrigues, Ana Rita Londral
Jmir Mhealth and Uhealth, 2021
Length of Stay Prediction in Acute Intensive Care Unit in Cardiothoracic Surgery Patients
Nafiseh Mollaei, Ana Rita Londral, Catia Cepeda, Salome Azevedo, Jorge Pinheiro Santos, Pedro Coelho, Jose Fragata, Hugo Gamboa
Proceedings of 2021 IEEE 7th International Conference on Bio Signals Images and Instrumentation Icbsii 2021, 2021
Monitoring ALS from speech articulation kinematics
Pedro Gómez, Ana R. M. Londral, Andrés Gómez, Daniel Palacios, Victoria Rodellar
Neural Computing and Applications, 2020
Digital innovation in outpatient healthcare delivery services: A common methodology to introduce IoT technologies in two use-cases
Salomé Azevedo, Ana Londral
Healthinf 2020 13th International Conference on Health Informatics Proceedings Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies Biostec 2020, 2020
Quantification of the voicescape: A person-centric approach to describing real-life behaviour patterns a case study comparing two age groups
Biosignals 2018 11th International Conference on Bio Inspired Systems and Signal Processing Proceedings Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies Biostec 2018, 2018
Biomarkers of neurodegenerative progression from spontaneous speech recorded in mobile devices: An approach based on articulation speed estimation a study of patients suffering from amyotrophic lateral sclerosis
Ana Londral, Pedro Gómez Vilda, Andrés Gómez-Rodellar
Biosignals 2018 11th International Conference on Bio Inspired Systems and Signal Processing Proceedings Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies Biostec 2018, 2018
Articulation acoustic kinematics in ALS speech
P. P.Gomez, D. Palacios, A. Gomez, V. Rodellar, A. R. Londral
2017 International Work Conference on Bio Inspired Intelligence Intelligent Systems for Biodiversity Conservation Iwobi 2017 Proceedings, 2017
Markers for upper limb dysfunction in Amyotrophic Lateral Sclerosis using analysis of typing activity
Ana Londral, Susana Pinto, Mamede de Carvalho
Clinical Neurophysiology, 2016
Application of the lognormal model to the vocal tract movement to detect neurological diseases in voice
Cristina Carmona-Duarte, Réjean Plamondon, Pedro Gómez-Vilda, Miguel A. Ferrer, Jesús B. Alonso, Ana Rita M. Londral
Smart Innovation Systems and Technologies, 2016
Quality of life in amyotrophic lateral sclerosis patients and caregivers: Impact of assistive communication from early stages
Ana Londral, Anabela Pinto, Susana Pinto, Luis Azevedo, Mamede De Carvalho
Muscle and Nerve, 2015
Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production
Pedro Gómez-Vilda, Ana Rita M. Londral, Victoria Rodellar-Biarge, José M. Ferrández-Vicente, Mamede de Carvalho
Neurocomputing, 2015
Foreword
Neurotechnix 2014 Proceedings of the 2nd International Congress on Neurotechnology Electronics and Informatics, 2014
Enhancing interaction of persons with cerebral palsy using biosignals detection
L Vivinetto Ana, S.D.P.S. Joana, Ara uuml jo Tiago, Silva Hugo
Assistive Technology Research Series, 2013
Monitoring written communication contribute to more effective decisions on AAC devices during rapid and progressive conditions of ALS
Londral Ana, Azevedo Luis, Pinto Anabela, Carvalho Mamede
Assistive Technology Research Series, 2013
Foreword
Neurotechnix 2013 Proceedings of the International Congress on Neurotechnology Electronics and Informatics, 2013
A method to detect keystrokes using accelerometry to quantify typing rate and monitor neurodegenerative progression
Neurotechnix 2013 Proceedings of the International Congress on Neurotechnology Electronics and Informatics, 2013
Characterization of speech from amyotrophic lateral sclerosis by neuromorphic processing
Pedro Gómez-Vilda, Ana Rita M. Londral, José Manuel Ferrández-Vicente, Victoria Rodellar-Biarge
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
Towards improving the usability of electromyographic interfaces
Hugo Silva, Reinhold Scherer, Joana Sousa, Ana Londral
Biosystems and Biorobotics, 2013
Enhancing communication through biosignals in severe neuromuscular conditions
A. Londral, N. Nunes, H. Silva, M. Carvalho, L. Azevedo
Biosystems and Biorobotics, 2013
Characterizing vocal tract centralization and asymmetry in amyotrophic lateral sclerosis
Proceedings and Report 8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications Maveba 2013, 2013
Wireless user-computer interface platform for mental health improvement through social inclusion
Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health Mindcare 2012 in Conjunction with Biostec 2012, 2012
Virtual robot and virtual environments for cognitive skills assessment
Encarnação Pedro, Piedade Gon ccedil alo, C.Nagadeepa Et al., Adams Kim, Gil Iolanda, et al.
Assistive Technology Research Series, 2011
A systematized approach to provide Assistive Technology (AT) for Augmentative Communication, to patients with amyotrophic lateral sclerosis (ALS)
Azevedo Luis, Londral Ana Rita, Pinto Anabela
Assistive Technology Research Series, 2009
Electrophysiological control signals for persons with neurodegenerative conditions: Blended control signals
Healthinf 2008 1st International Conference on Health Informatics Proceedings, 2008

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