Vinícius Horn Cene

Samsung (Brazil) — Brazil

Engineering · Physical Sciences

9h-index198citations23works4.52yr avg
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Research Topics

Muscle activation and electromyography studies(16), EEG and Brain-Computer Interfaces(12), Neuroscience and Neural Engineering(8), Advanced Sensor and Energy Harvesting Materials(2), Heart Rate Variability and Autonomic Control(2)

Publications23 total

MIMIC-BP: A curated dataset for blood pressure estimation
Scientific Data·2024· 9 citedOpen Access
Data-Driven Autonomous Meal Session Detection Using Smartwatches
2024
MIMIC-BP
Harvard Dataverse·2023· 1 citedOpen Access
Resilient EMG Classification to Enable Reliable Upper-Limb Movement Intent Detection
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2020· 15 cited
Statistical feature and channel selection for upper limb classification using sEMG signal processing
Research on Biomedical Engineering·2020· 15 cited
Métodos de classificação confiável e resiliente de movimentos de membros superiores baseado em extreme learning machines e sinais de eletromiografia de superfície
Lume (Universidade Federal do Rio Grande do Sul)·2020Open Access
Recurrent Neural Network as Estimator for a Virtual sEMG Channel
2019· 6 cited
Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG Signals
2019· 2 cited
Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines
Sensors·2019· 50 citedOpen Access
Using the sEMG signal representativity improvement towards upper-limb movement classification reliability
Biomedical Signal Processing and Control·2018· 13 cited
Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal Classification
2018· 9 cited
sEMG feature selection and classification using SVM-RFE
2017· 24 cited
Using non-iterative methods and random weight networks to classify upper-limb movements through sEMG signals
2017· 2 cited
Reever control: A biosignal controlled interface
2017· 4 cited
Self-adaptive Method for sEMG Movement Classification Based on Continuous Optimal Electrode Assortment
Brazilian Journal of Instrumentation and Control·2016· 7 citedOpen Access
Optimization of Features to Classify Upper-Limb Movements Through sEMG Signal Processing
Brazilian Journal of Instrumentation and Control·2016· 8 citedOpen Access
The use of sEMG signals as a natural control interface
Lume (Universidade Federal do Rio Grande do Sul)·2016
Desenvolvimento de um projeto de experimentos para a caracterização de sinais mioelétricos através do uso de regressão logística
Americanae (AECID Library)·2016Open Access
Upper-limb movement classification through logistic regression sEMG signal processing
2015· 11 cited
Complete factorial design experiment for 3D load cell instrumented crank validation
2015· 6 cited
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Frequent Co-authors

Alexandre Balbinot(17), Gabriela Winkler Favieiro(5), Maurício Cagliari Tosin(3), Juliano Costa Machado(3), Carlos Caetano(3), Otávio A. B. Penatti(3), Victor V. Gomes(2), Lizeth S. B. Cabrera(2), Thomas Beltrame(2), Wonkyu Lee(2), Sanghyun Baek(2), Mariano Majolo(1), Raissan Chedid(1), Raphael Ruschel dos Santos(1), Ivandro Sanches(1), Igor Harres de Oliveira(1), Valle-Casas Omar(1), Rafael Dalazen(1), Luciana Nedel(1), SRBR Samsung R Institute Brazil(1)