SciTePress - Affiliation Profile

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Affiliation

Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2892-516 Monte da Caparica, Portugal, Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2892-516 Monte da Caparica, Portugal, VR4NeuroPain, Rua Comandante António Feio nº26 1C1, 2800-255 Almada and Portugal

Context (please use complete words only)

Field

Sort by

13 Papers

The 3D Printing Center for Health: Advancing Personalized Healthcare Solutions Through Additive Manufacturing

Topic: Rehabilitation Technology

Authors: Claudia Quaresma ^{1

;

2} , Ana Oliveira ^{2

;

3} , Carla Quintão ^{1

;

2} and Bruno Soares ^{2

;

3

;

4}

Affiliations: ¹ LIBPhys, Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal , ² 3D Printing Center for Health, Lisboa, Portugal , ³ UNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, NOVA University of Lisbon, 2829-516, Caparica, Portugal , ⁴ Laboratório Associado de Sistemas Inteligentes, 4800-058, Guimarães, Portugal

Digital Object Identifier: 10.5220/0013262000003911

Proceedings of BIODEVICES 2025, ISBN: 978-989-758-731-3

Quick Abstract

The 3D Printing Center for Health is a non-profit association dedicated to advancing personalized healthcare through the innovative application of 3D printing technology. By using a patient-centered, co-creation methodology, the Center collaborates with patients, healthcare professionals, and engineers throughout the design and development process. This approach enables the production of cost-effective, highly customized medical devices, including prosthetics, orthotics, assistive devices, and anatomical models tailored to meet the unique anatomical and functional needs of each patient. While partnering with hospitals and rehabilitation centers, the Center addresses accessibility and affordability gaps often encountered in traditional healthcare, making advanced solutions more widely available. Clinical studies have shown substantial improvements in patient mobility and satisfaction, as well as a significant reduction in production costs due to the efficiency of additive manufacturing. This paper provides an overview of the Center’s mission, methods, and main achievements, highlighting its contributions to healthcare innovation and improvements in patient-specific care through advanced 3D printing technologies. The Center’s commitment to social responsibility, innovation, and patient-specific design is setting new standards in rehabilitative care and establishing a foundation for future advancements in accessible, high-quality healthcare solutions.

Com@Rehab: An Interactive and Personalised Rehabilitation Activity Based on Virtual Reality

Topics: Ehealth; Human-Machine Interfaces; Assistive Technologies; Design and Development of Methodologies for Healthcare IT; eHealth Applications

Authors: Carolina Silva ¹ , Claudia Quaresma ² , Raquel Silva ^{3

;

4} , Sara Carvalho ^{3

;

5} , Rute Costa ³ , Miguel Fernández ⁶ , Miguel Fonseca ⁷ , Andreia Pinto de Sousa ⁶ , Ana Londral ^{4

;

8} and Micaela Fonseca ⁷

Affiliations: ¹ Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal , ² LIBPhys, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal , ³ NOVA CLUNL – Nova University Lisbon, Colégio Almada Negreiros, 1099-032 Lisboa, Portugal , ⁴ Value for Health CoLAB, Nova Medical School, 1150-190 Lisboa, Portugal , ⁵ CLLC – Languages, Literatures and Cultures Research Centre, University of Aveiro, 3810-193 Aveiro, Portugal , ⁶ Lusofona University, HEI-Lab, Campo Grande, 376, 1749-024 Lisboa, Portugal , ⁷ Center for Mathematics and Applications (NOVA Math) and Department of Mathematics, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal , ⁸ CHRC – Comprehensive Health Research Center, NOVA Medical School, NOVA University Lisbon, 1150-082 Lisboa, Portugal

Digital Object Identifier: 10.5220/0012570000003657

Proceedings of HEALTHINF 2024, ISBN: 978-989-758-688-0

Quick Abstract

Background: This work presents Com@Rehab, a patient-centred activity for individuals needing a physical rehabilitation approach and with specific loss of functionality, designed for the context of severe post-covid19 complications. Within this scope, this paper focuses on the description of the activity in virtual reality (VR), its components, the game design approach, and the results of an initial prototype testing in the laboratory aimed at evaluating the experience of the Com@Rehab system. Methods: The VR activity was customised according to patients’ clinical needs while replicating an activity of daily living. A prototype was tested by a group of 33 healthy individuals for a showering activity scenario. A questionnaire was developed within the scope of this project to test the efficiency of the technology that supports the VR activity, as well as to evaluate health literacy components. Results: Preliminary results showed that 94% of the participants recommended the experience, the performance of the various components of the system was successfully implemented, participants quickly adhered to the VR technology, and the user interface (UI) assistant functionality needs to be improved. Conclusion: The prototype test shows potential effectiveness in enhancing the rehabilitation experience and favourable usability, offering a promising path for advancing rehabilitative care. Further research is needed for validation in clinical settings. In addition, the Com@Rehab Communication Module improves human-human and human-machine communication while contributing to health literacy.

Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities

Topics: Real-Time Systems & Biosignal-Based User Interfaces; Processing and Analysis of Image and Video Data; Pattern Recognition & Machine Learning for Biosignal Data; Biometrics, Detection and Identification; Motion and Activity Analysis

Authors: Phil Lopes ¹ , Nuno Fachada ² , Micaela Fonseca ¹ , Hugo Gamboa ³ and Claudia Quaresma ³

Affiliations: ¹ Lusofona University, HEI-Lab, Campo Grande, 376, 1749-024 Lisboa, Portugal , ² Lusofona University, COPELABS, Campo Grande, 376, 1749-024 Lisboa, Portugal , ³ LIBPhys, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal

Digital Object Identifier: 10.5220/0012424200003657

Proceedings of BIOSIGNALS 2024, ISBN: 978-989-758-688-0

Quick Abstract

This position paper proposes the hypothesis that physiological noise artefacts can be classified based on the type of movements performed by participants in Virtual Reality contexts. To assess this hypothesis, a detailed research plan is proposed to study the influence of movement on the quality of the captured physiological signals. This paper argues that the proposed plan can produce a valid model for classifying noisy physiological signal features, providing insights into the influence of movement on artefacts, while contributing to the development of movement-based filters and the implementation of best practices for using various associated technologies.

Neuromotor Pattern of the Upper Limb in Hygiene Activities Using Electromyography and Accelerometery Technology

Topic: Medical Signal Acquisition, Analysis and Processing

Authors: Patrícia Santos ^{1

;

2

;

3} , Inês Garcia ¹ , Carla Quintão ^{1

;

2} and Claúdia Quaresma ^{1

;

2}

Affiliations: ¹ LIBPhys, NOVA School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal , ² Physics Department, NOVA School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal , ³ Health Department, Superior School of Health, Polytechnic Institute of Beja, 7800-111Beja, Portugal

Digital Object Identifier: 10.5220/0012463900003657

Proceedings of BIOSIGNALS 2024, ISBN: 978-989-758-688-0

Quick Abstract

The technology is a valuable resource for movement analysis, especially for complex movement patterns such as those of the upper limb during activities of daily living (ADLs). Characterizing these patterns in healthy individuals is crucial to detect abnormal and compensatory movements resulting from neurological dysfunctions. This study aimed to characterize the neuromuscular activation pattern of the upper limb during the washing of the contralateral limb in 36 healthy individuals. The Biosignalsplux® equipment was used to monitor the activity of the main shoulder muscles, that is, Pectoralis Major (PM), Anterior Deltoid (AD), Middle Deltoid (MD), Posterior Deltoid (PD), Upper Trapezius (UT) and Lower Trapezius (LT), through electromyography (EMG) and accelerometry (ACC). The results show variations in the contraction pattern in the different phases of the activity. With this study it was possible to establish the normalized pattern of the activity of EMG and ACC of the shoulder complex and respective movement phases.

RehabVisual: Adapting and Testing the Visuomotor Skills Stimulation Platform on Patients with Multiple Sclerosis

Topics: Health Monitoring Devices; Rehabilitation Technology; Diagnostic devices

Authors: Margarida Henriques ¹ , Maria Mendes ² , Ana Martins ² , Carla Quintão ^{1

;

3} and Cláudia Quaresma ^{1

;

3}

Affiliations: ¹ Physics Department, NOVA School of Science and Technology – FCT NOVA, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal , ² Neurology Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal , ³ LIBPhys-UNL, Physics Department, NOVA School of Science and Technology – FCT NOVA, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal

Digital Object Identifier: 10.5220/0012463700003657

Proceedings of BIODEVICES 2024, ISBN: 978-989-758-688-0

Quick Abstract

Multiple Sclerosis (MS), the most prevalent immune-mediated inflammatory demyelinating disease affecting the Central Nervous System (CNS), has an estimated global incidence of 2,8 million individuals. Although its symptomatology is highly varied and unpredictable, depending on the lesions’ location in the CNS, visual impairments are among the most common manifestations. However, conventional methods for assessing and rehabilitating visuomotor competences are not sufficient to deliver objective assessments or personalized therapies. The current study addresses this gap by adapting and testing the RehabVisual platform’s usability in MS patients. RehabVisual, developed in previous studies, aims to objectively assess visuomotor skills through an integrated low-cost eye tracking system, offering specific clinical intervention. Before clinical application, a normative base was established using 50 healthy individuals for later comparison. The experimental group comprised 25 MS patients with and without confirmed visuomotor alterations. The protocol involved viewing three visual stimuli for later calculation of the mean Euclidean distance between the gaze and stimulus positions using the eye tracker, for further assessment of the patients’ performance in tracking the stimulus. The findings confirmed diagnosed visual impairments, along with their quantification and storage for monitoring and rehabilitation purposes, highlighting the platform’s potential as an auxiliary tool for healthcare professionals.

Ortho-Monitorizer: A Portable Device to Monitor the Use of Upper Limb Orthoses - A Concept Proof

Topics: Health Monitoring Devices; Rehabilitation Technology; Wearable and Mobile Devices; Biomedical Equipment & Instrumentation

Authors: Raquel Gonçalves ¹ , Carla Quintão ^{1

;

2} , Ricardo Vigário ^{1

;

2} and Cláudia Quaresma ^{1

;

2}

Digital Object Identifier: 10.5220/0011012000003123

Proceedings of BIODEVICES 2022/BIOSTEC, ISBN: 978-989-758-552-4

Quick Abstract

This article presents the development of a wearable and portable system, the Ortho-Monitorizer, which allows an objective, continuous and simultaneous monitoration of the temperature and pressure exerted on the skin on the 3 main pressure points derived from the use of a hand and wrist orthosis. It also allows the monitorization of the patient’s compliance to the orthosis, providing its time of use. This way, adjustments to the orthosis can be optimized, reducing the discomfort felt by the patient, increasing compliance, reducing the risk of pressure sores’ formation derived from inadequate levels of pressure applied, and consequently, increasing the effectiveness of orthosis’ use. Therefore, an Arduino Uno, powered by a powerbank, is used as microcontroller. Three force sensors and three temperature sensors are controlled by the microcontroller to detect the pressure and temperature. A Bluetooth Low Energy module is used to send data from the Arduino to an android application under development, which will allow healthcare professionals to consult all the information and clinical history relating to each patient, as well as allowing the patient to develop a greater awareness and sense of responsibility regarding their performance in relation to the guidelines provided by the health professional.

Analysis of the Relationship between Electrodermal Activity and Heart Rate with Pain in Individuals with a Shoulder Pathology

Topics: Biomedical Sensors; Electrocardiography and Heart Monitoring; Wearable and Mobile Devices; Biomedical Equipment & Instrumentation

Authors: M. Oliveira ¹ , C. Quintão ^{2

;

1} , R. Vigário ^{2

;

1} , B. Mendes ³ , C. Caldeira ³ , F. Rodrigues ³ and C. Quaresma ^{2

;

1}

Affiliations: ¹ Departamento de Física, Faculdade de Ciências e Tecnologias, Universidade Nova de Lisboa, 2829-516 Monte da Caparica, Portugal , ² Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Monte da Caparica, 2892-516, Caparica, Portugal , ³ Área de Medicina Física e Reabilitação, Hospital Curry Cabral, Centro Hospitalar Lisboa Central, Portugal

Digital Object Identifier: 10.5220/0008945001100117

Proceedings of BIODEVICES 2020/BIOSTEC, ISBN: 978-989-758-398-8

Quick Abstract

Currently, pain analysis in a clinical environment is not common and is at fault for being subjective and always dependent on a personal response. Therefore, it is imperative to use physiological signals to quantify pain and make diagnosis more objective. This article aims to study the relationship between pain, through its analog scale, with the electrodermal and cardiac signals of individuals characterized by having a shoulder pathology that gives rise to recurrent pain. This study was carried out on 21 patients from Hospital Curry Cabral, who were part of the Occupational Therapy department’s care in the area of Physical Medicine and Rehabilitation, and 18 individuals without any pathology, thus serving as a control group. All participants followed an experimental protocol consisting in the measurement of electrodermal and cardiac signals and pain level when performing two different movements. The results suggest that there is indeed a relationship between the two measured signals and pain. The greater the pain experienced by the individual, the greater the amplitude of the electrodermic signal and heart rate appears to be.

RehabVisual: Implementation of a Low Cost Eye Tracker without Pre-calibration

Topics: Rehabilitation Technology; Diagnostic devices

Authors: Pedro Dias ¹ , Ana Ferreira ^{2

;

3} , Ricardo Vigário ^{1

;

2} , Cláudia Quaresma ^{1

;

2} and Carla Quintão ^{1

;

2}

Affiliations: ¹ Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal , ² LIBPhys - UNL, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal , ³ Departamento de Saúde, Escola Superior de Saúde, Instituto Politécnico de Beja, 7800-111 Beja, Portugal

Digital Object Identifier: 10.5220/0009148002350241

Proceedings of BIODEVICES 2020/BIOSTEC, ISBN: 978-989-758-398-8

Quick Abstract

Visual impairments affect the life of millions of people. Some of these impairments can be corrected or diminished. Visual stimulation is one way of visual rehabilitation, that has produced better results when used in the early years of life. As there is nothing standardized in this field, a platform named RehabVisual was developed (Machado et al., 2018; Santos, 2018). This platform has the objective of creating an individual visuomotor rehabilitation for children under two years old, that were born prematurely. In order to reach a therapists' need, a video analysis tool was developed. This tool should be capable of following the motion of the patients' eyes, with the purpose of facilitating and making the analysis of their reactions to the stimuli more objective. The solution developed on this paper consists on the creation of an eye tracker system, that does not need to be pre-calibrated and is low-cost. The eye tracker was tested in healthy individuals and the results show that is very effective in detecting horizontal eye variations.

GNEUROPATHY: Validation Process at Clinical Environment

Topics: Health Monitoring Devices; Diagnostic devices

Authors: Claudia Quaresma ^{1

;

2

;

3} , Madalena Gomes ¹ , Heitor Cardoso ³ , Nuno Ferreira ³ , Ricardo Vigário ^{1

;

2} , Carla Quintão ^{1

;

2} and Micaela Fonseca ^{1

;

2

;

3

;

4}

Affiliations: ¹ Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2892-516 Monte da Caparica, Portugal , ² Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2892-516 Monte da Caparica, Portugal , ³ VR4NeuroPain, Rua Comandante António Feio nº26 1C1, 2800-255 Almada, Portugal , ⁴ Universidade Europeia, Laureate International Universities, Estrada da Correia, nº53, 1500-210 Lisboa, Portugal

Digital Object Identifier: 10.5220/0007579702750279

Proceedings of BIODEVICES 2019/BIOSTEC, ISBN: 978-989-758-353-7

Quick Abstract

Spinal cord injuries are one of the most traumatic situations with a major impact on a person's quality of life. This type of injury have a extremely impact in the performance of daily life activities not only due to motor alterations but also due to the appearance of neuropathic pain Throughout the rehabilitation process the evaluation and intervention methodologies are not very systematic and are not personalized. Thus, to bridge this gap, the VR4NeuroPain was developed a technology that associates virtual reality with a glove "GNeuroPathy". The glove "GNeuroPathy" allows the collection of physiological parameters, namely to identify the electrodermic activity (EDA) while the patient carries out activities in an immersive environment. The main objective of this article is to present the validation process of the "GNeuroPathy" in clinical context. "GNeuroPathy" was applied to a group of 17 individuals with incomplete spinal cord injury. The results showed that "GNeuroPathy" is easy to apply and is suitable for comfort and texture. Data were also collected from EDA and it was found that there is a significant difference in signal amplitude in patients with low and high functionality.

VMSReport: An Application for Visual Performance and Motor Skills Evaluation

Topics: Health Monitoring Devices; Rehabilitation Technology; Diagnostic devices

Authors: Ana Isabel Ferreira ^{1

;

2

;

3} , Cláudia Quaresma ^{1

;

3} and Carla Quintão ^{1

;

3}

Affiliations: ¹ Departamento de Física, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Caparica, Portugal , ² Departamento de Saúde, Escola Superior de Saúde do Instituto Politécnico de Beja, Beja, Portugal , ³ LIBPhys - UNL, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Caparica, Portugal

Digital Object Identifier: 10.5220/0007581102800284

Proceedings of BIODEVICES 2019/BIOSTEC, ISBN: 978-989-758-353-7

Quick Abstract

With the increase of evidence-based practice, the registration and dissemination of the assessment data, became more and more important. In paediatric rehabilitation those procedures are particularly important since they allow for an initial characterization of the clinical situation, to compare results in different assessment moments and to disseminate the evaluation outcomes. However, in several kinds of evaluation, data registration is a complex and slow process. Similarly, the comparison of raw score to standard score can be very time consuming. To minimize that challenge it is important to develop a digital system that makes the registration fast and objective. The main purpose of this paper is to present VMSReport: an application to registrate visuomotor performance data, visual perception, as well as and motor coordination, in children aged 2 years and older. That digital tool allows also to compare results between various moments of assessment and can automatically generate a report for each evaluation. It also builds a database, which facilitates the process of global data analysis and modelling. This tool was developed in a clinical environment, giving clear answers to requests from rehabilitation caregivers. A pilot study, with 10 children, has already been carried out. The VMSReport can now be used.