Rodrigo Ramele

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• Doctor of Engineering
• Assistant Professor at Buenos Aires Institute of Technology

The oscillatory nature of slow waves during non-rapid eye movement (NREM) sleep has recently been proposed as crucial for the glymphatic system, facilitating the clearance of metabolic waste from the brain. While aging-related reductions in slow wave quantity and amplitude are well-documented and linked to this cleansing function, we propose that t...

Lucid dreams (LDs) and out-of-body experiences (OBEs) initiated from sleep paralysis both involve heightened cognitive abilities during sleep. Some researchers suggest that OBEs, specifically originating from sleep paralysis, are closely related to LDs or even considered variations of the same phenomenon. Our study compared non-LDs, LDs, and sleep...

This work proposes an intrinsically explainable, straightforward method to decode P300 waveforms from electroencephalography (EEG) signals, overcoming the black box nature of deep learning techniques. The proposed method allows convolutional neural networks to decode information from images, an area where they have achieved astonishing performance....

Despite the successes and progress of deep reinforcement learning over the last decade, several challenges remain that hinder its broader application. Some fundamental aspects to improve include data efficiency, generalization capability, and ability to learn in sparse-reward environments, which often require human-designed dense rewards. Meta-lear...

To continue sleep research activities during the lockdown resulting from the COVID-19 pandemic, experiments that were previously conducted in laboratories were shifted to the homes of volunteers. Furthermore, for extensive data collection, it is necessary to use a large number of portable devices. Hence, to achieve these objectives, we developed a...

In order to continue sleep research activities during lockdown resulting from the COVID-19 pandemic, experiments that were previously conducted in laboratories shifted to the homes of volunteers. Furthermore, for extensive data collection, it is a requirement to use a large number of portable devices. Hence in order to achieve these objectives, we...

Dreaming is a complex phenomenon that occurs during sleep, involving various conscious dream experiences. Lucid dreams (LDs) involve heightened awareness within the dream environment, while out-of-body experiences (OBEs) involve the sensation of being outside one’s physical body. OBEs occur during sleep paralysis (SP), where voluntary movements are...

Memory formation is a dynamic process that comprises different phases, such as encoding, consolidation and retrieval. It could be altered by several factors such as sleep quality, anxiety, and depression levels. In the last years, due to COVID-19 pandemic, there was a reduction in sleep quality, an increase in anxiety and depressive symptoms as wel...

Retinoblastoma is an ocular tumor characterized by malignant cells in the retina of the eye. For its treatment, doctors apply different methods, one of them is the localized injection of a chemotherapy drug called Topotecan. Scientists in the area of medicine are interested in study the speed of Topotecan penetration in tumor clusters. In order to...

In this study, we examine the structural properties of dream reports that include non-lucid, lucid dreams (LDs) and out-of-body experiences (OBEs). We collected a set of 916 dream reports (728 non-lucid dreams, 122 LDs, 68 OBEs) obtained from 60 participants that kept a dream journal for two months. The collected reports were transformed into direc...

Lucid dreams (LDs) and out-of-body experiences (OBEs) are phenomena characterized by the return of higher cognitive abilities during sleep, including reflective self-awareness and abstract thought. Given the similarities in reflective self-awareness between LDs and OBEs, some authors consider them variations of the same phenomenon. This study aimed...

Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor activity and recover functionality. In this work, we are presenting a robotic smart-vest device that can analyze Inertial Measurement Unit (IMU) data and assist in reha...

This document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) research. A brief tutorial on how to set up the device, from its electrophysiological point of view, as well as a description and practical code to perform some basic analys...

Confocal microscope images are wide useful in medical diagnosis and research. The automatic interpretation of this type of images is very important but it is a challenging endeavor in image processing area, since these images are heavily contaminated with noise, have low contrast and low resolution. This work deals with the problem of analyzing th...

Confocal microscope images are wide useful in medical diagnosis and research. The automatic interpretation of this type of images is very important but it is a challenging endeavor in image processing area, since these images are heavily contaminated with noise, have low contrast and low resolution. This work deals with the problem of analyzing the...

Error-related potential (ErrP) are a particular type of Event-Related Potential (ERP) elicited by a person attending a recognizable error. These Electroencephalographic (EEG) signals can be used to train a gaming agent by a Reinforcement Learning (RL) algorithm to learn an optimal policy. The experimental process consists of an observational human...

Patients that suffer Chronic Obstructive Pulmonary Disease (COPD) undergo a procedure called Pulmonary Rehabilitation that helps them to improve disease prognosis. Pulmonary Rehabilitation consists of different physical exercises and walking activities conducted at medical facilities under supervision of a physical therapist. In order to perform th...

Sleep is a natural and reversible state of rest. In mammals it is characterized by the cyclical occurrence of Rapid Eye Movement (REM) and non-REM sleep. The latter is characterized by the presence of sleep spindles, K-Complexes (KCs), slow cortical waves and fast hippocampal waves. During sleep there is a spontaneous reactivation of recently acqui...

Retinoblastoma is the most common intraocular tumor in childhood. Topotecan has been widely used as an antineoplastic agent for retinoblastoma treatment. Topotecan penetration into living tumorspheres is quantified using confocal microscopy. This fluorescent drug dyes the living tissue and it can be recorded in a sequence of images over a period of...

Retinoblastoma is a common intraocular tumor of childhood. One of the medications used as an antineoplastic agent for retinoblastoma treatment is topotecan. Its penetration into living tumorspheres is quantified using confocal microscopy. Topotecan is a fluorescent drug and it dyes the living tissue. Then, it is recorded in a sequence of images ove...

The analysis of Electroencephalographic (EEG) signals is of ulterior importance to aid in the diagnosis of mental disease and to increase our understanding of the brain. Traditionally, clinical EEG has been analyzed in terms of temporal waveforms, looking at rhythms in spontaneous activity, subjectively identifying troughs and peaks in Event-Relate...

Brain Computer Interface (BCI) or Brain Machine Interfaces (BMI), has proved the feasibility of a distinct non-biological communication channel to transmit information from the Central Nervous System (CNS) to a computer device. Promising success has been achieved with invasive BCI, though biocompatibilities issues and the complexity and risks of su...

The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement Brain Computer Interface (BCI) devices. The automatic dec...

A method to analyze EEG signals which is based on the waveform characterization is presented. The benefits of the proposed approach are twofold, (1) it has a universal applicability because the same basic methodology can be applied to detect different patterns in EEG signals with applications to BCI and (2) it has the potential to foster close coll...

Brain Computer Interfaces are a challenging technology with amazing prospects but its push into mainstream assistive applications has not arrived yet. In this work a new method to analyze and classify EEG, Electroencephalography, signals, is proposed which is based on the extraction of visually relevant feature descriptors from images of the signal...

In the context of Brain Computer Interfaces, research community is endlessly searching for new automatic methods to understand the mental state of a person wearing a non-invasive Electroencephalography (EEG) device. Since the inception of EEG technology physicians have successfully developed an eye to undercover the intrinsic patterns of EEG, scour...

In recent years, the appealing idea of a direct interface between the human brain and an artificial system, called Brain Computer Interface (BCI) or Brain Machine Interfaces (BMI), has proved the feasibility of a distinct non-biological communication channel to transmit information from the Central Nervous System to a computer device with straightf...

Este documento tiene tres partes. La primera ofrece información contextual del concepto de Embodiment, detallando qué tipos de experimentos cognitivos se realizan para estudiar esta idea. En la Segunda se ofrece un detalle de cuál podría ser la relación de Embodiment con BCI, desde un punto de vista práctico. La tercer y ´ ultima parte, es una disc...

Basic Application of an Alpha Rhythm Analysis Algorithm to detect potential drowsiness and eyes closing in subjects. The application of this algorithm can be used to enhance Automobile drivers drowsiness detection schemes.

This document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) research. A brief tutorial on how to set up the device, from its electrophysiological point of view, as well as a description and practical code to perform some basic analys...

There are certain properties, like non-linearity, chaotic behavior, unpredictability that suggest a strong link between Artificial Neural Networks and Cryptography. Since the dawning of the century, many published research works have shown evidence that techniques and algorithms from the field of Neural Networks can be used in cryptography and cryp...