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Mateo Aboy
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2020 – today
- 2024
- [j32]Mateo Aboy, Cristina Crespo, Ariel Dora Stern:
Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway. npj Digit. Medicine 7(1) (2024) - [j31]Mateo Aboy, Timo Minssen, Effy Vayena:
Navigating the EU AI Act: implications for regulated digital medical products. npj Digit. Medicine 7(1) (2024) - 2022
- [j30]Sepehr Laal, Paul Vasilyev, Sean Pearson, Mateo Aboy, James McNames:
Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM). Sensors 22(23): 9378 (2022)
2010 – 2019
- 2019
- [c5]James McNames, Vrutangkumar V. Shah, Martina Mancini, Carolin Curtze, Mahmoud El-Gohary, Mateo Aboy, Patricia Carlson-Kuhta, John G. Nutt, Fay B. Horak:
A Two-Stage Tremor Detection Algorithm for Wearable Inertial Sensors During Normal Daily Activities. EMBC 2019: 2535-2538 - 2013
- [j29]Sunghan Kim, Mateo Aboy, James McNames:
Pulse pressure variation tracking using sequential Monte Carlo methods. Biomed. Signal Process. Control. 8(4): 333-340 (2013) - [j28]Antonio Molina-Picó, David Cuesta-Frau, Pau Miró-Martínez, Sandra Oltra-Crespo, Mateo Aboy:
Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination. Comput. Methods Programs Biomed. 110(1): 2-11 (2013) - 2012
- [j27]Cristina Crespo, Mateo Aboy, José Ramón Fernández, Artemio Mojón:
Automatic identification of activity-rest periods based on actigraphy. Medical Biol. Eng. Comput. 50(4): 329-340 (2012) - [j26]J. Víctor Marcos, Roberto Hornero, Daniel Álvarez, Mateo Aboy, Félix del Campo:
Automated Prediction of the Apnea-Hypopnea Index from Nocturnal Oximetry Recordings. IEEE Trans. Biomed. Eng. 59(1): 141-149 (2012) - 2011
- [j25]Antonio Molina-Picó, David Cuesta-Frau, Mateo Aboy, Cristina Crespo, Pau Miró-Martínez, Sandra Oltra-Crespo:
Comparative study of approximate entropy and sample entropy robustness to spikes. Artif. Intell. Medicine 53(2): 97-106 (2011) - [c4]James McNames, Sunghan Kim, Mateo Aboy:
Statistical model for cardiovascular signals with independent respiratory modulation for tracking pulse pressure variation. EMBC 2011: 4681-4684 - 2010
- [j24]Pau Micó, Margarita Mora, David Cuesta-Frau, Mateo Aboy:
Automatic segmentation of long-term ECG signals corrupted with broadband noise based on sample entropy. Comput. Methods Programs Biomed. 98(2): 118-129 (2010) - [j23]J. Víctor Marcos, Roberto Hornero, Daniel Álvarez, Félix del Campo, Mateo Aboy:
Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis. Medical Biol. Eng. Comput. 48(9): 895-902 (2010)
2000 – 2009
- 2009
- [j22]David Cuesta-Frau, Pau Micó Tormos, Mateo Aboy, Marcelo O. Biagetti, Daniel Austin, Ricardo A. Quinteiro:
Enhanced modified moving average analysis of T-wave alternans using a curve matching method: a simulation study. Medical Biol. Eng. Comput. 47(3): 323-331 (2009) - [j21]David Cuesta-Frau, Mateo Aboy, Marcelo O. Biagetti:
Response: can a simulation study of T-wave alternans (TWA) resolve whether TWA is T-wave amplitude dependent? Medical Biol. Eng. Comput. 47(3): 355 (2009) - [j20]Alexander Holland, Mateo Aboy:
A novel recursive Fourier transform for nonuniform sampled signals: application to heart rate variability spectrum estimation. Medical Biol. Eng. Comput. 47(7): 697-707 (2009) - [j19]David Cuesta-Frau, Manuel Varela, Mateo Aboy, Pau Miró-Martínez:
Description of a PortableWireless Device for High-Frequency Body Temperature Acquisition and Analysis. Sensors 9(10): 7648-7663 (2009) - [j18]Mateo Aboy, Cristina Crespo, Daniel Austin:
An Enhanced Automatic Algorithm for Estimation of Respiratory Variations in Arterial Pulse Pressure During Regions of Abrupt Hemodynamic Changes. IEEE Trans. Biomed. Eng. 56(10): 2537-2545 (2009) - 2008
- [j17]Z. G. Zhang, Kai Man Tsui, Shing-Chow Chan, W. Y. Lau, Mateo Aboy:
A novel method for nonstationary power spectral density estimation of cardiovascular pressure signals based on a Kalman filter with variable number of measurements. Medical Biol. Eng. Comput. 46(8): 789-797 (2008) - [j16]James McNames, Mateo Aboy:
Statistical Modeling of Cardiovascular Signals and Parameter Estimation Based on the Extended Kalman Filter. IEEE Trans. Biomed. Eng. 55(1): 119-129 (2008) - [j15]Roberto Hornero, Mateo Aboy, Carlos Gómez, Daniel S. Hagg, Charles R. Phillips:
Complexity Analysis of Arterial Pressure During Periods of Abrupt Hemodynamic Changes. IEEE Trans. Biomed. Eng. 55(2): 797-801 (2008) - 2007
- [j14]David Cuesta-Frau, Marcelo O. Biagetti, Ricardo A. Quinteiro, Pau Micó Tormos, Mateo Aboy:
Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching. Medical Biol. Eng. Comput. 45(3): 229-239 (2007) - [j13]Roberto Hornero, Mateo Aboy, Daniel E. Abásolo:
Analysis of intracranial pressure during acute intracranial hypertension using Lempel-Ziv complexity: further evidence. Medical Biol. Eng. Comput. 45(6): 617-620 (2007) - [j12]David Cuesta, Manuel Varela, Pau Miró, P. Galdós, Daniel E. Abásolo, Roberto Hornero, Mateo Aboy:
Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy. Medical Biol. Eng. Comput. 45(7): 671-678 (2007) - [j11]Timothy Ellis, James McNames, Mateo Aboy:
Pulse Morphology Visualization and Analysis With Applications in Cardiovascular Pressure Signals. IEEE Trans. Biomed. Eng. 54(9): 1552-1559 (2007) - 2006
- [j10]Mateo Aboy, J. Haakon Falkenberg:
An Automatic Algorithm for Stationary Segmentation of Extracellular Microelectrode Recordings. Medical Biol. Eng. Comput. 44(6): 511-515 (2006) - [j9]James McNames, Mateo Aboy:
Reliability and accuracy of heart rate variability metrics versus ECG segment duration. Medical Biol. Eng. Comput. 44(9): 747-756 (2006) - [j8]Roberto Hornero, Daniel E. Abásolo, Natalia Jimeno, Clara I. Sánchez, Jesús Poza, Mateo Aboy:
Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects. IEEE Trans. Biomed. Eng. 53(2): 210-218 (2006) - [j7]Mateo Aboy, Roberto Hornero, Daniel E. Abásolo, Daniel Álvarez:
Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis. IEEE Trans. Biomed. Eng. 53(11): 2282-2288 (2006) - [c3]Daniel Austin, Christian Staats, Mateo Aboy:
A Novel Approach to Pulse Pressure Variation Estimation. EMBC 2006: 1391-1393 - [c2]James McNames, Mateo Aboy:
Cardiovascular Signal Decomposition and Estimation with the Extended Kalman Smoother. EMBC 2006: 3708-3711 - 2005
- [j6]Mateo Aboy, Oscar W. Márquez, James McNames, Roberto Hornero, Tran Thong, Brahm Goldstein:
Adaptive modeling and spectral estimation of nonstationary biomedical signals based on Kalman filtering. IEEE Trans. Biomed. Eng. 52(8): 1485-1489 (2005) - [j5]Mateo Aboy, James McNames, Tran Thong, Daniel Tsunami, Miles S. Ellenby, Brahm Goldstein:
An automatic beat detection algorithm for pressure signals. IEEE Trans. Biomed. Eng. 52(10): 1662-1670 (2005) - [j4]Roberto Hornero, Mateo Aboy, Daniel E. Abásolo, James McNames, Brahm Goldstein:
Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension. IEEE Trans. Biomed. Eng. 52(10): 1671-1680 (2005) - 2004
- [j3]Tran Thong, James McNames, Mateo Aboy, Brahm Goldstein:
Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes. IEEE Trans. Biomed. Eng. 51(4): 561-569 (2004) - [j2]José J. Segura-Juarez, David Cuesta-Frau, Luis Samblas-Peña, Mateo Aboy:
A microcontroller-based portable electrocardiograph recorder. IEEE Trans. Biomed. Eng. 51(9): 1686-1690 (2004) - [j1]Mateo Aboy, James McNames, Tran Thong, Charles R. Phillips, Miles S. Ellenby, Brahm Goldstein:
A novel algorithm to estimate the pulse pressure variation index ΔPP. IEEE Trans. Biomed. Eng. 51(12): 2198-2203 (2004) - [c1]Daniel Novák, Lenka Lhotská, David Cuesta-Frau, Pau Micó, Tarik Al-Ani, Yskandar Hamam, Mateo Aboy:
Morphology Analysis of Physiological Signals Using Hidden Markov Models. ICPR (3) 2004: 754-757
Coauthor Index
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