A5041847759- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- Microbial Inactivation Methods
- Fractal and DNA sequence analysis
- Cardiovascular and exercise physiology
- Hemodynamic Monitoring and Therapy
- Healthcare Technology and Patient Monitoring
- Cardiac electrophysiology and arrhythmias
- COVID-19 Clinical Research Studies
- Microfluidic and Bio-sensing Technologies
- Electronic Health Records Systems
- Sarcoma Diagnosis and Treatment
- Cardiovascular Function and Risk Factors
- Blood Pressure and Hypertension Studies
- Anatomy and Medical Technology
- Cardiovascular Health and Disease Prevention
- Distributed and Parallel Computing Systems
- Cardiac Arrest and Resuscitation
- Total Knee Arthroplasty Outcomes
- Parkinson's Disease Mechanisms and Treatments
- Emotion and Mood Recognition
- Biomedical and Engineering Education
Consejo Nacional de Investigaciones Científicas y Técnicas
2016-2025
Hospital Italiano de Buenos Aires
2015-2025
National Technological University
2004-2024
Instituto Universitario Hospital Italiano
2019-2024
Experimental Medicine and Biology Institute
2021-2024
University of Buenos Aires
2006-2024
Universidad Nacional Tecnológica
2023
Buenos Aires Institute of Technology
2002-2020
Centro Científico Tecnológico - San Juan
2011-2017
Beth Israel Deaconess Medical Center
2002-2013
<b><i>Objective:</i></b> To differentiate the quantitative sensory testing (QST) results of subjects simulating small and large fiber loss from those normal with peripheral neuropathy. <b><i>Background:</i></b> QST is used to measure thresholds in clinical, epidemiologic, research studies. It not known whether there are objective test that characterize subject seeking deceive examiner. <b><i>Methods:</i></b> The Computer Aided Sensory Examination IV 4, 2, 1 stepping algorithm was determine...
The aim of this study was to analyze whether the coronavirus disease 2019 (COVID-19) vaccine reduces mortality in patients with moderate or severe COVID-19 requiring oxygen therapy. A retrospective cohort study, data from 148 hospitals both Spain (111 hospitals) and Argentina (37 hospitals), conducted. We evaluated hospitalized for older than 18 years requirements. Vaccine protection against death assessed through a multivariable logistic regression propensity score matching. also performed...
Despite the location (Earth or Space), surgical simulation is a vital part of improving technical skills and ensuring patients' safety in real procedure. The purpose this study to describe Space System for Minimally Invasive Surgery (SY-MIS©) project, which started 2016 under supervision Center Systems (C-SET). process connects best features following machines: Biomedik Surgeon, Biosurgeon, SP-LAP 1, 2, were defined using VDI 2221 guidelines. This research uses methods based on 3 standards:...
Venous denervation and increased venous pooling may contribute to symptoms of orthostatic intolerance. We examined compliance in the calf forearm 11 orthostatic-intolerant patients 15 age-matched controls over a range pressures, during basal conditions sympathetic excitation. Occlusion cuffs placed around upper arm thigh were inflated 60 mmHg deflated 10 1 min. Limb volume was measured continuously with mercury-in-Silastic strain gauge. Compliance calculated as numerical derivative...
User-centered design is mentioned by Norman as &ldquo;the need for a that uses the natural properties of individuals, exploiting relationships and constraints focusing on needs interests user, in order to make final products usable understandable&rdquo;. This also important health developments. The objective this paper search analyze articles healthcare field where user-centered principles have been applied. We describe findings topic from published between January 1995 September 2014.
In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution function derived from symbolization techniques applied the EEG signal used calculate Tsallis entropy, Shannon Entropy, Renyi Min they are separately only independent variable in logistic regression model order evaluate its capacity classification inferential manner. The area...
Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which result the synchronous excessive discharge group neurons in cerebral cortex. Extracting information using EEG signals an important problem biomedical signal processing. In work we propose new algorithm for seizure onset detection spread estimation patients. The based on multilevel 1-D wavelet decomposition that captures...
Objetivo: hallar los tiempos mínimos de registro variabilidad la frecuencia cardíaca (VFC) plazo-ultra-corto, menor a 5min, para que índices extraídos del diagrama Poincaré, SS y S/PS, indicadores balance autonómico puedan ser equivalentes obtenidos mediante VFC corto-plazo (5min). Método: el estudio incluyó un grupo 23 sujetos. Las series RR, extraídas señal electrocardiograma, fueron registradas durante 300s en reposo se obtuvieron 60s, 90s, 120s 240s. Los calcularon cada serie comparados...
In 2002, Bandt and Pompe [Phys. Rev. Lett. 88, 174102 (2002)] introduced a successfully symbolic encoding scheme based on the ordinal relation between amplitude of neighboring values given data sequence, from which permutation entropy can be evaluated. Equalities in analyzed for example, repeated equal values, deserve special attention treatment as was shown recently by Zunino co-workers A 381, 1883 (2017)]. significant number give rise to false conclusions regarding underlying temporal...
The classification of epileptic seizure events in EEG signals is an important problem biomedical engineering. In this paper we propose a Bayesian method for multivariate signals. based on multilevel 2D wavelet decomposition that captures the distribution energy across different brain rhythms and regions, coupled with generalised Gaussian statistical representation scheme. proposed approach demonstrated challenging paediatric dataset containing both normal function signals, where it...
A procedure for beat detection and classification was developed using ECG recordings. This can be used with one or two leads, then a portion of each detected is classifying. task performed by neural network. In the authors' work morphology QRS feeds self organizing map (SOM). The SOM previously trained different complexes such as normal ectopic morphologies. very important in heart rate variability (HRV) analysis, because must use only beats reject ones construction RR intervals series.
Precision medicine seeks to improve the prevention, diagnosis and treatment of patients based on genetic characteristics unique each person. In oncology, therapeutic decisions have been established genomic patient's tumor. Data integration is key for successful implementation precision since it necessary both studying a large volume data from different sources working with an interdisciplinary translational vision. this work, bioinformatic process was successfully implemented that allows...