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I am a dynamic and curious individual with diverse knowledge spanning various areas, enabling me to adapt and thrive in any environment. I have a particular penchant for embracing challenges and delving into new subjects.
Identification

Personal identification

Full name
Elodie Múrias Lopes

Citation names

  • Lopes, Elodie

Author identifiers

Ciência ID
251D-8AE3-E0EC
ORCID iD
0000-0001-5563-8544

Email addresses

  • emlopes.sc@gmail.com (Personal)

Telephones

Mobile phone
  • 918016085 (Personal)

Addresses

  • Rua do Sol Poente n44 rc, 4450-793, Leça da Palmeira, Porto, Portugal (Personal)

Knowledge fields

  • Exact Sciences - Physical Sciences
  • Engineering and Technology - Medical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Proficiency (C2) Proficiency (C2) Advanced (C1) Proficiency (C2)
Education
Degree Classification
2018/09/01 - 2022
Ongoing
 Biomedical Engineering (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
"Towards Personalized In-Silico Mathematical Models and Tools for Brain Networks Simulations and Study of Optimal Therapeutic Approaches to Refractory Epilepsy" (THESIS/DISSERTATION)
2015
Concluded
 Physics (Mestrado integrado)
Universidade de Aveiro, Portugal
"Random field Kuramoto model in complex networks" (THESIS/DISSERTATION)
 17
2013
Concluded
 Physics (Licenciatura)
Universidade de Aveiro, Portugal
"Estados quase-ligados de um campo escalar no background de um buraco negro" (THESIS/DISSERTATION)
 16
Affiliation

Science

Category
Host institution 		Employer
2016/09/01 - 2018/07/04 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2016/05/10 - Current Invited Assistant (University Teacher) Universidade do Porto Instituto de Ciências Biomédicas Abel Salazar, Portugal
Universidade do Porto Instituto de Ciências Biomédicas Abel Salazar, Portugal
Outputs

Publications

Conference abstract
  1. Soares, C; Vilas Boas, MDC; Lopes, EM; Choupina, H; Soares Dos Reis, R; Fitas, D; Cunha, JPS; et al. "Automated measures of gait dynamics and camptocormia angle in Parkinson's disease before and after subthalamic deep brain stimulation". 2019.
    10.1016/j.clineuro.2019.105537
Conference paper
  1. Lopes, EM; Vilas Boas, MD; Rego, R; Santos, A; Cunha, JPS. "Video-EEG and PerceptTM PC Deep Brain Neurostimulator Fine-Grained Synchronization for Multimodal Neurodata Analysis". 2021.
    10.1109/ner49283.2021.9441422
  2. Lopes, EM; Van Rafelghem, L; Dias, D; Nunes, MC; Hordt, M; Noachtar, S; Kaufmann, E; Cunha, JPS. "Changes in Heart Rate Variability after Transcranial Direct Current Stimulation in Patients with Refractory Epilepsy". 2021.
    10.1109/ner49283.2021.9441362
  3. Oliveira, A; Dias, D; Lopes, EM; Vilas Boas, MD; Cunha, JPS. "A Textile Embedded Wearable Device for Movement Disorders Quantification". 2020.
    10.1109/embc44109.2020.9175772
  4. Maia, P; Lopes, E; Hartl, E; Vollmar, C; Noachtar, S; Silva Cunha, JPS. "Multimodal Approach for Epileptic Seizure Detection in Epilepsy Monitoring Units". 2020.
    10.1007/978-3-030-31635-8_133
  5. Lopes, EM; Sevilla, A; Vilas Boas, MD; Choupina, HMP; Nunes, DP; Rosas, MJ; Oliveira, A; et al. "iHandU: Towards the Validation of a Wrist Rigidity Estimation for Intraoperative DBS Electrode Position Optimization". 2019.
    10.1109/ner.2019.8717144
Journal article
  1. Ana Oliveira; Duarte Dias; Elodie Lopes; Maria do Carmo Vilas-Boas; Cunha, João Paulo Silva. "SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients". Sensors (2020): https://www.mdpi.com/1424-8220/20/14/3875.
    10.3390/s20143875
  2. Murias Lopes, E; Vilas Boas, MD; Dias, D; Rosas, MJ; Vaz, R; Silva Cunha, JP. "iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery". SENSORS (2020):
    10.3390/s20020331
  3. Lopes, Elodie. "Synchronization in the random-field Kuramoto model on complex networks". Physical Review E (2016): http://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.012308.
    http://dx.doi.org/10.1103/PhysRevE.94.012308
  4. Lopes, MA; Lopes, EM; Yoon, S; Mendes, JFF; Goltsev, AV. "Synchronization in the random-field Kuramoto model on complex networks". PHYSICAL REVIEW E (2016):
    10.1103/physreve.94.012308
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2022/03/11 Características Ictais e Interictais dos "Local Field Potentials" do Núcleo Anterior do Tálamo em Doentes com Epilepsia e Estimulação Cerebral Profunda 34º Encontro Nacional de Epileptologia
Fundação Engenheiro António de Almeida (Porto, Portugal)
2020/12/11 iHandU - Um Novo Sistema de Quantificação de Rigidez de Pulso Durante a Cirurgia de Estimulação Cerebral Profunda 36º Reunião Nacional de Sociedade Portuguesa de Neurocirurgia
(zoom session)
2020/01/24 iHandU - A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery Juntos Pelo Fernando
Faculty of Medicine of University of Lisbon (Lisbon, Portugal)
Distinctions

Award

2022 Best oral presentation at the 34th National Epileptology Congress
Liga Portuguesa Contra a Epilepsia, Portugal