Erik Bojorges

Erik Bojorges
Universidad Iberoamericana Ciudad de México · Department of Engineering

Dr.

About

30
Publications
6,394
Reads
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116
Citations
Citations since 2017
19 Research Items
72 Citations
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20172018201920202021202220230510152025
Introduction
I'm intersted in Brain Computer Interfaces, heart rate variability, pattern recognition and hardware design.
Additional affiliations
September 2012 - present
Universidad Iberoamericana Ciudad de México
Position
  • Professor (Associate)
January 2012 - April 2016
Metropolitan Autonomous University
Position
  • PhD Student
January 2005 - present
Metropolitan Autonomous University
Position
  • Professor (Associate)

Publications

Publications (30)
Chapter
Meibography is described as the specialized imaging study developed exclusively to visualize the morphology of meibomian glands in vivo. Numerous technologies have been developed, mostly involving the use of infrared light. Despite these advancements, core issues like device size and accessibility remain. In this project an alpha prototype was deve...
Conference Paper
Cirrhosis is a liver disease that could impair the functionality of the neural system, limiting cognitive processes and reduce mobility, possibly because alterations on dynamics of neural communications. In this study the dynamics of band power fluctuations on ß and γ bands were studied on three groups: control, patients with cirrhosis and patients...
Conference Paper
Parkinson's disease (PD) is a neuropathy characterized by motor disorders, but it has also been associated with the presence of autonomic alterations as a result of degradation of the dopaminergic system. Studying the relation between Band Power time series (BPts) and Heart Rate Variability (HRV), has been proposed as a tool to explore the bidirect...
Conference Paper
An important challenge when designing Brain Computer Interfaces (BCI) is to create a pipeline (signal conditioning, feature extraction and classification) requiring minimal parameter adjustments for each subject and each run. On the other hand, Convolutional Neural Networks (CNN) have shown outstanding to automatically extract features from images,...
Conference Paper
Parkinson's Disease is a neuropathy that produces changes in several biomarkers, these changes could be used to evaluate even sub-clinical conditions. This paper presents an evaluation of indices extracted from electroencephalography and Heart Rate Variability (HRV), when used to classify a sample of subjects from three groups: control (healthy), m...
Thesis
Full-text available
La disfunción de glándulas de meibomio es una enfermedad crónica y discapacitante, aún así, con valores de epidemiología de mayores de 60\% en la población mayor a 60 años y al no presentar síntomas en la mayoría de sus casos, el diagnóstico es un problema clínico. Este trabajo propone herramientas auxiliares al diagnóstico basadas en aprendizaje m...
Article
Full-text available
Some hypotheses relate oscillations of EEG band power with autonomic processes derived from homeostatic control modulated by structures like the Central Autonomic Network and the Autonomic Nervous System. This research project studies the causal relationships between fluctuations of an autonomic process marker like the Heart Rate Variability (HRV)...
Article
Full-text available
Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to identify the best combinations of HRV and heartprint indices for predicting SCD based on short-term rec...
Article
Full-text available
Brainwaves amplitude obtained from electroencephalography (EEG) has been well-recognized as a basis for cognitive capacity, memory, and learning on animals and humans. Adult neurogenesis mechanism is also linked to memory and learning improvement. Traditionally, researchers used to assess learning and memory parameters in rodent models by behaviora...
Chapter
Full-text available
Autonomic control evidenced in both heart rate variability (HRV) and electroencephalographic (EEG) oscillations, reflect the behaviour of the underlying physiological non-stationary dynamical systems. In order to assess the influence of autonomic changes in the performance of an asynchronous brain-computer interface, recurrence analysis of EEG spec...
Chapter
Full-text available
This work presents an evaluation of two machine learning schemes for lid segmentation on meibography images. Both schemes use same input features based on pixel gray levels, laplacian and entropy filters, and also distances to anatomical landmarks like pupil and eye lashes. The methods evaluated were support vector machines (SVM) with 4th degree po...
Conference Paper
Full-text available
This work presents an evaluation of two machine learning schemes for lid segmentation on meibography images. Both schemes use the same input features based on pixel gray levels, laplacian and entropy filters and distances to anatomical landmarks like pupil and eye lashes. The methods evaluated were support vector machines (SVM) with 4th degree poly...
Conference Paper
Chronic kidney disease impacts the cognitive abilities of patients, and yet few works have analyzed functional electroencephalographic changes on event-related potentials before and after an hemodialysis session. This work shows that, as a consequence of hemodialysis, cognitive potential waveforms suffer changes, occurring with reduced latency $( \...
Article
Objective: Event Related Potentials (ERP) are phenomena that produces alterations on the spectral power of different bands synced with stimuli presentation. Such perspective overlooks that the spectral power time series present spontaneous oscillations, whose dynamics has been associated with health state and could be also linked with superior proc...
Conference Paper
To search for possible interactions between the autonomic heart control and the brain activity we have evaluatedthe relation between heart rate variability (HRV) and the alpha and beta EEG band power dynamics. Theexperiments consisted in the alteration of HRV induced by respiratory rhythm changes. Modi cations in thetime series of the spectral dens...
Article
This paper presents an evaluation of the continuous detection of mental calculation episodes, which may be useful for users who strive to operate current BCI paradigms or even for augmenting degrees of freedom. The experimentation consisted in the alternated realization of basic arithmetic mental calculations and resting periods. EEG data were anal...
Conference Paper
In this paper a binary BCI control based on mental computation of arithmetic operations is evaluated. Data analysis was performed using information derived from five EEG channels, estimating the detrended fluctuation analysis scaling exponent and the power on beta band. The strategy (task and data analysis) was validated on fifteen subjects realizi...
Article
Steady state visual evoked potentials represent the least training-dependent brain computer interface paradigm, a condition that significantly improves the user experience with this kind of interfaces. On the other hand, the open- source DASHER writing system is an unconventional machine interface paradigm on its own, for which their developers enc...
Conference Paper
Full-text available
GOAL: The P300 Speller is probably the best known application in BCI [1]. Over the years, many improvements over the pioneering systems have been made and some performance comparisons exist [2]. To contribute to the improvement process, we propose an open access to a large database obtained from first-time users of the P300 speller application impl...
Data
Full-text available
This is an open database of P300 Speller experimentation. It comprises 30 healthy naive subjects, performing Donchin Speller paradigm. The database is divided in three sessions, the first was directed (3 words, 16 characters), in the second a classification was performed (1word, 5 characters), and the third was a free-spelling paradigm changing the...
Conference Paper
Character identification on a P300 Speller is treated as a pattern recognition problem. SVM were used to detect ERP when character to spell were intensified. The input char- acteristics to SVM were the projections on an estimated signal subspace. This Subspace was estimated via eigendecomposition of correlation matrix, from a set of epochs containi...
Article
Detrended fluctuation analysis (DFA) is becoming a widely used technique for exploring the structure of correlations in heart rate variability (HRV) data. This method provides a scaling or fractal exponent alpha(x) derived from the behaviour of the root-mean-square fluctuations along different time scales n. Rather than just finding a single expone...
Chapter
Full-text available
A Single-Trial detection for Evoked Potentials is presented, it was tested with Event Related Potentials (oddball) which are used in the Donchin’s Speller. The scheme is based in inner product of registered potentials over signal subspaces, estimated by principal components analysis. Different combinations of projection coefficients were used as ch...
Conference Paper
Full-text available
Detrended fluctuation analysis (DFA) is becoming a widely used technique for exploring the structure of correlations in heart rate variability (HRV) data. This method provides a scaling or fractal exponent a derived from the behaviour of the root-mean-square fluctuations along different time scales n. Rather than just finding a single exponent, cov...
Conference Paper
Full-text available
We used empirical mode decomposition (EMD) to assess the high frequency information of fetal HRV during different conditions of fetal activity. Beat-to-beat data of thirteen normal fetuses at term (36 to 40 gestation weeks) were obtained from abdominal ECG signals. In addition, corporal and breathing fetal movements were simultaneously observed usi...

Questions

Question (1)
Question
I need to acquire EMG and torque of the cuadriceps, actually i have a isocinetic equipment Con-Trex MJ and a Biopac, but I don't know if there's an accesory that provides a sync signal for the ADC.

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Projects

Projects (2)
Project
Develop an user-free algorithm that: - Identifies Lid type (upper / lower) in Meibography Images - Automatic Lid Segmentation in Meibography Images - Automatic Gland Segmentation - Gland Clustering and meibography gland evaluation
Project
AI for clasisifcation using meibography images