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Cross Time-Frequency Analysis for Combining Information of Several Sources: Application to Estimation of Spontaneous Respiratory Rate from Photoplethysmography
Cross Time-Frequency Analysis for Combining Information of Several Sources: Application to Estimation of Spontaneous Respiratory Rate from Photoplethysmography
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Cross Time-Frequency Analysis for Combining Information of Several Sources: Application to Estimation of Spontaneous Respiratory Rate from Photoplethysmography

Peláez-Coca, M. D. ; Orini, M. ; Lázaro, J. ; Bailón, R. ; Gil, E. Barbieri, Riccardo

Computational and mathematical methods in medicine, 2013-01, Vol.2013, p.631978-8 [Periódico revisado por pares]

United States: Hindawi Publishing Corporation

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Association of nonalcoholic fatty liver disease with QTc interval in patients with type 2 diabetes
Association of nonalcoholic fatty liver disease with QTc interval in patients with type 2 diabetes
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Association of nonalcoholic fatty liver disease with QTc interval in patients with type 2 diabetes

Targher, Giovanni ; Valbusa, Filippo ; Bonapace, Stafano ; Bertolini, Lorenzo ; Zenari, Luciano ; Pichiri, Isabella ; Mantovani, Alessandro ; Zoppini, Giacomo ; Bonora, Enzo ; Barbieri, Enrico ; Byrne, Christopher D

Nutrition, metabolism, and cardiovascular diseases, 2014-06, Vol.24 (6), p.663-669 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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Dynamic Analyses of Information Encoding in Neural Ensembles
Dynamic Analyses of Information Encoding in Neural Ensembles
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Dynamic Analyses of Information Encoding in Neural Ensembles

Barbieri, Riccardo ; Frank, Loren M. ; Nguyen, David P. ; Quirk, Michael C. ; Solo, Victor ; Wilson, Matthew A. ; Brown, Emery N.

Neural computation, 2004-02, Vol.16 (2), p.277-307 [Periódico revisado por pares]

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

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4
Monitoring and detecting atrial fibrillation using wearable technology
Monitoring and detecting atrial fibrillation using wearable technology
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Monitoring and detecting atrial fibrillation using wearable technology

Nemati, Shamim ; Ghassemi, Mohammad M. ; Ambai, Vaidehi ; Isakadze, Nino ; Levantsevych, Oleksiy ; Shah, Amit ; Clifford, Gari D.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.3394-3397

IEEE

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5
An adaptive deep learning approach for PPG-based identification
An adaptive deep learning approach for PPG-based identification
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An adaptive deep learning approach for PPG-based identification

Jindal, V. ; Birjandtalab, J. ; Pouyan, M. Baran ; Nourani, M.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.6401-6404

IEEE

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Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis
Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis
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Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis

Castaldo, R. ; Xu, W. ; Melillo, P. ; Pecchia, L. ; Santamaria, L. ; James, C.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.3805-3808

IEEE

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7
High-accuracy user identification using EEG biometrics
High-accuracy user identification using EEG biometrics
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High-accuracy user identification using EEG biometrics

Koike-Akino, Toshiaki ; Mahajan, Ruhi ; Marks, Tim K. ; Ye Wang ; Watanabe, Shinji ; Tuzel, Oncel ; Orlik, Philip

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.854-858

IEEE

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Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network
Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network
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Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network

Rifai Chai ; Tran, Yvonne ; Naik, Ganesh R. ; Nguyen, Tuan N. ; Sai Ho Ling ; Craig, Ashley ; Nguyen, Hung T.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.4654-4657

IEEE

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9
Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes
Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes
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Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes

Phyo Phyo San ; Sai Ho Ling ; Nguyen, Hung T.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.3503-3506

IEEE

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10
Automatic switching between noise classification and speech enhancement for hearing aid devices
Automatic switching between noise classification and speech enhancement for hearing aid devices
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Automatic switching between noise classification and speech enhancement for hearing aid devices

Saki, Fatemeh ; Kehtarnavaz, Nasser

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, p.736-739

IEEE

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