A5077539798- Optical Imaging and Spectroscopy Techniques
- Non-Invasive Vital Sign Monitoring
- Health disparities and outcomes
- Global Public Health Policies and Epidemiology
- Maternal and Neonatal Healthcare
- Balance, Gait, and Falls Prevention
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Advanced Chemical Sensor Technologies
- Muscle activation and electromyography studies
- Global Health Care Issues
- Spectroscopy Techniques in Biomedical and Chemical Research
- Bayesian Methods and Mixture Models
- Neuroscience, Education and Cognitive Function
- Action Observation and Synchronization
- Health, Nursing, Elderly Care
- Artificial Intelligence in Healthcare
- Neuroscience and Neural Engineering
- Global Maternal and Child Health
- Advanced Clustering Algorithms Research
- Spectroscopy and Chemometric Analyses
- Consumer Market Behavior and Pricing
- Neuroscience and Music Perception
- Neural dynamics and brain function
Hospital Israelita Albert Einstein
2019-2023
Universidade Federal do ABC
2019-2020
Diamed Medizintechnik (Germany)
2017-2019
The employment of functional near-infrared spectroscopy (fNIRS) as a method brain imaging has increased over the last few years due to its portability, low-cost and robustness subject movement. Experiments with fNIRS are designed in face limited number sources detectors (optodes) be positioned on selected portion(s) scalp. optodes locations represent an expectation assessing cortical regions relevant experiment's hypothesis. However, this translation process remains challenge for...
Assessing the neural correlates of motor and cognitive processes under naturalistic experimentation is challenging due to movement constraints traditional brain imaging technologies. The recent advent portable technologies that are less sensitive motion artifacts such as Functional Near Infrared Spectroscopy (fNIRS) have been made possible study function in freely-moving participants. In this paper, we describe a series proof-of-concept experiments examining potential fNIRS assessing...
Music played in ensembles is a naturalistic model to study joint action and leader-follower relationships. Recently, the investigation of brain underpinnings musical actions has gained attention; however, cerebral correlates underlying roles leader follower music performance remain elusive. The present addressed this question by simultaneously measuring hemodynamic functional neural activity elicited during violin duet using fNIRS. Findings revealed distinct patterns activation when...
The individual’s socioeconomic conditions are the most relevant to predict quality of someone’s health. However, such information is not usually found in medical records, making studies area difficult. Therefore, it common use composite indices that characterize a region socioeconomically, as Human Development Index (HDI). main advantage HDI its understanding and adoption on global scale. applicability limited for health since longevity dimension presents mathematical redundancy regression...
Paralleling two decades of growth in the emergent field known as educational neuroscience is an increasing concern that practices and programs should be evidence-based, however, idea could potentially influence education controversial. One criticisms, regarding applications findings produced this discipline, concerns artificiality neuroscientific experiments oversimplified nature tests used to investigate cognitive processes contexts. The simulations may not account for all variables present...
Functional near-infrared spectroscopy (fNIRS) is currently one of the most promising tools in neuroscientific research to study brain hemodynamics during naturalistic social communication. The application fNIRS by studies this field knowledge has been widely justified its strong resilience motion artifacts, including those that might be generated communicative head and facial movements. Previous have focused on identification correction these but a quantification differential contribution...
Gait initiation is a daily challenge even for healthy individuals as it requires the timely coupling between automatic anticipatory postural adjustment (APA) and voluntary step according to context. Modulation of this motor event has been thought involve higher level brain control, including cognitive inhibitory circuitries. Despite known participation supplementary area (SMA) in modulation some parameters APA, areas controlling inhibition during gait still needs be investigated. In study,...
The prevalence of health problems during childhood and adolescence is high in developing countries such as Brazil. Social inequality, violence, malnutrition have strong impact on youth health. To better understand these issues we propose to combine machine-learning methods graph analysis build predictive networks applied the Brazilian National Student Health Survey (PenSE 2015) data, a large dataset that consists questionnaires filled by students. By using combination gradient boosting...
Objective: to define an index that summarizes the main dimensions of socioeconomic context for research purposes, evaluation and monitoring health inequalities. Methods: was created from 2010 Brazilian Demographic Census, whose variables selection guided by theoretical references studies, including seven dimensions: education, mobility, poverty, wealth, income, segregation deprivation resources services. The developed using principal component analysis, evaluated its construct, content...
Studies evaluating the local quality of death certification in Brazil focused on completeness reporting or inappropriate coding causes death, with few investigating missing data. We aimed to use and unexpected values core topics assess Brazilian municipalities, evaluate its correlation percentage garbage codes, employ a data-driven approach non-linear models investigate association socioeconomic health infrastructure context statistics among municipalities. This retrospective study used data...
In this work, we introduce a new methodology to discover logistic regions for pricing. We use value-based characteristics from different sources, such as demographic, socioeconomic, risk, transportation, among others, find homogeneous and valuable pricing regions. The problem was formulated traditional cluster solution, where well-know metrics, BIC silhouette score, were used technical validation, business premises constraints, operational sales, enrich feature engineering refine formation....