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About

Recently graduated in Bioengineering, I am passionate by hi-tech and R&D. Always trying to contribute for a better understanding of human body physiology applying engineering concepts. My electronic and computer science skills acquired during my Master Degree and external projects, endorsed my capabilities as a researcher in biomedical engineering area. Signal and image processing, Programming, Electronics, Instrumentation, Automation, Data structure, Bionics and Computer-aided Systems were some of the most relevant areas lectured during my graduation, all of them related to biomedical science.
My experience enables me to developed and produce new technologies with real-life applications to improve healthcare and human well-being

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007
Publications

2020

IHandU: A novel quantitative wrist rigidity evaluation device for deep brain stimulation surgery

Authors
Murias Lopes, E; Vilas Boas, MD; Dias, D; Rosas, MJ; Vaz, R; Silva Cunha, JP;

Publication
Sensors (Switzerland)

Abstract
Deep brain stimulation (DBS) surgery is the gold standard therapeutic intervention in Parkinson’s disease (PD) with motor complications, notwithstanding drug therapy. In the intraoperative evaluation of DBS’s efficacy, neurologists impose a passive wrist flexion movement and qualitatively describe the perceived decrease in rigidity under different stimulation parameters and electrode positions. To tackle this subjectivity, we designed a wearable device to quantitatively evaluate the wrist rigidity changes during the neurosurgery procedure, supporting physicians in decision-making when setting the stimulation parameters and reducing surgery time. This system comprises a gyroscope sensor embedded in a textile band for patient’s hand, communicating to a smartphone via Bluetooth and has been evaluated on three datasets, showing an average accuracy of 80%. In this work, we present a system that has seen four iterations since 2015, improving on accuracy, usability and reliability. We aim to review the work done so far, outlining the iHandU system evolution, as well as the main challenges, lessons learned, and future steps to improve it. We also introduce the last version (iHandU 4.0), currently used in DBS surgeries at São João Hospital in Portugal. © 2020 by the authors.

2020

SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients

Authors
Oliveira, A; Dias, D; Lopes, EM; Vilas Boas, MD; Silva Cunha, JPS;

Publication
Sensors

Abstract
The development of wearable health systems has been the focus of many researchers who aim to find solutions in healthcare. Additionally, the large potential of textiles to integrate electronics, together with the comfort and usability they provide, has contributed to the development of smart garments in this area. In the field of neurological disorders with motor impairment, clinicians look for wearable devices that may provide quantification of movement symptoms. Neurological disorders affect different motion abilities thus requiring different needs in movement quantification. With this background we designed and developed an inertial textile-embedded wearable device that is adaptable to different movement-disorders quantification requirements. This adaptative device is composed of a low-power 9-axis inertial unit, a customised textile band and a web and Android cross application used for data collection, debug and calibration. The textile band comprises a snap buttons system that allows the attachment of the inertial unit, as well as its connection with the analog sensors through conductive textile. The resulting system is easily adaptable for quantification of multiple motor symptoms in different parts of the body, such as rigidity, tremor and bradykinesia assessments, gait analysis, among others. In our project, the system was applied for a specific use-case of wrist rigidity quantification during Deep Brain Stimulation surgeries, showing its high versatility and receiving very positive feedback from patients and doctors.

2020

A Textile Embedded Wearable Device for Movement Disorders Quantification

Authors
Oliveira, A; Dias, D; Lopes, EM; Do Carmo Vilas Boas, M; Silva Cunha, JP;

Publication
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Abstract
Wearable devices have been showing promising results in a large range of applications: since industry, to entertainment and, in particular, healthcare. In the scope of movement disorders, wearable devices are being widely implemented for motor symptoms objective assessment. Currently, clinicians evaluate patients' motor symptoms resorting to subjective scales and visual perception, such as in Parkinson's Disease. The possibility to make use of wearable devices to quantify this disorder motor symptoms would bring an accurate follow-up on the disease progression, leading to more efficient treatments.Here we present a novel textile embedded low-power wearable device capable to be used in any scenario of movement disorders assessment due to its seamless, comfort and versatility. Regarding our research, it has already improved the setup of a wrist rigidity quantification system for Parkinson's Disease patients: the iHandU system. The wearable comprises a hardware sensing unit integrated in a textile band with an innovative design assuring higher comfort and easiness-to-use in movement disorders assessment. It enables to collect inertial data (9-axis) and has the possibility to integrate two analog sensors. A web platform was developed for data reading, visualization and recording. To ensure inertial data reliability, validation tests for the accelerometer and gyroscope sensors were conducted by comparison with its theoretical behavior, obtaining very good results. © 2020 IEEE.

2019

VitalResponder®: wearable wireless platform for vitals and body-area environment monitoring of first response teams

Authors
Silva Cunha, JP; Rodrigues, S; Dias, D; Branda~o, P; Aguiar, A; Oliveira, I; Maria Fernandes, J; Maia, C; Tedim, AR; Barros, A; Azuaje, O; Soares, E; de La Torre, F;

Publication
Wearable Technologies and Wireless Body Sensor Networks for Healthcare

Abstract

2019

The effect of seizure type on ictal and early post-ictal Heart Rate Variability in patients with focal resistant epilepsy

Authors
Faria, MT; Rodrigues, S; Dias, D; Rego, R; Rocha, H; Sa, F; Oliveira, A; Campelo, M; Pereira, J; Rocha Goncalves, F; Cunha, JPS; Martins, E;

Publication
EUROPEAN HEART JOURNAL

Abstract
Abstract Background Seizures commonly affect the heart rate and its variability. The increased interest in this area of research is related to the possible connection with sudden unexpected death in epilepsy (SUDEP). Generalized tonic-clonic seizures (GTCS) are reported as the most consistent risk factor for SUDEP. However, the general risk of seizures (and their type) on cardiac function still remains uncertain. Purpose To evaluate the influence of seizure type (GTCS vs non-GTCS) on ictal and early post-ictal Heart Rate Variability (HRV) in patients with refractory epilepsy. Methods From January 2015 to July 2018, we prospectively evaluated 121 patients admitted to our institution's Epilepsy Monitoring Unit with focal resistant epilepsy. All patients underwent a 48-hour Holter recording. We included only patients who had both GTCS and non-GTCS during the recording and selected the first seizure of each type to analyze. HRV (AVNN, SDNN, RMSSD, pNN50, and LF/HF) was evaluated by analyzing 5-min-ECG epochs, starting with the seizure onset (ictal and early post-ictal period). The study was approved by our Institution Ethics Committee and all patients gave informed consent. Results Fourteen patients were included (7 Females, 4 patients with Temporal Lobe Epilepsy). The median age was 39 years (min-max, 18–57). Thirty-six percent presented cardiovascular risk factors without known cardiac disease. A significant statistical reduction was found for AVNN (p=0.013), RMSSD (p=0.008), pNN50 (p=0.005) and HF (p=0.003), during GTCS when compared with non-GTCS (Wilcoxon test, p<0.05; two tailed). Conclusion Our study shows a significant reduced vagal tone during GTCS when compared with non-GTCS. Hence, GTCS had a more pronounced impact on HRV changes than other seizure types, which can be associated with higher SUDEP risk after GTCS.