Respiratory-related cortical potentials evoked by inspiratory occlusion in humans

1986 ◽  
Vol 60 (6) ◽  
pp. 1843-1848 ◽  
Author(s):  
P. W. Davenport ◽  
W. A. Friedman ◽  
F. J. Thompson ◽  
O. Franzen
Keyword(s):  
Evoked Potentials ◽  
Mechanical Load ◽  
Human Subjects ◽  
Signal Averaging ◽  
Eeg Signals ◽  
Mouth Pressure ◽  
Subject Variability ◽  
The Subject ◽  
Time Required ◽  
Load Perception

It has long been recognized that humans can perceive respiratory loads. There have been several studies on the detection and psychophysical quantification of mechanical load perception. This investigation was designed to record cortical sensory neurogenic activity related to inspiratory mechanical loading in humans. Inspiration was periodically occluded in human subjects while the electroencephalographic (EEG) activity in the somatosensory region of the cerebral cortex was recorded. The onset of inspiratory mouth pressure (Pm) was used to initiate signal averaging of the EEG signals. Cortical evoked potentials elicited by inspiratory occlusions were observed when C3 and C alpha were referenced to CZ. This evoked potential was not observed with the control (unoccluded) breaths. There was considerable subject variability in the peak latencies that was related to the differences in the inspiratory drive, as measured by occlusion pressure (P0.1). The results of this study demonstrate that neurogenic activity can be recorded in the somatosensory region of the cortex that is related to inspiratory occlusions. The peak latencies are longer than analogous somatosensory evoked potentials elicited by stimulation of the hand and foot. It is hypothesized that a portion of this latency difference is related to the time required for the subject to generate sufficient inspiratory force to activate the afferents mediating the cortical response.

Effects of timing of inspiratory occlusion on cerebral evoked potentials in humans

1990 ◽  
Vol 68 (1) ◽  
pp. 282-288 ◽  
Author(s):  
W. R. Revelette ◽  
P. W. Davenport
Keyword(s):  
Evoked Potentials ◽  
Somatosensory Cortex ◽  
Human Subjects ◽  
Abrupt Decrease ◽  
Airway Occlusion ◽  
Mouth Pressure ◽  
Cerebral Evoked Potentials ◽  
Evoked Potentials In Humans ◽  
Bilateral Projection ◽  
The Right

Previous studies from these laboratories have shown that airway occlusion applied from the onset of inspiration or during midinspiration is associated with cerebral evoked potentials in human subjects. The hypothesis tested in the present study was that the more abrupt decrease in mouth pressure produced by midinspiratory occlusion will be associated with evoked potentials that have shorter peak latencies and greater peak amplitudes than those produced by occlusions from the onset of inspiration. The second objective of the present study was to determine whether there is bilateral projection of inputs from the respiratory system to the somatosensory cortex. Random presentation of 64 midinspiratory occlusions and 64 occlusions from the onset of inspiration was performed in eight subjects. The inspirations preceding the occlusions served as control. Evoked potentials were recorded from the scalp with electrode pairs Cz-C3 and Cz-C4. Reaction time to each type of occlusion was measured from the burst in electromyogram activity produced by contraction of the muscles encircling the eye. Each type of inspiratory occlusion was associated with evoked potentials that could be recorded bilaterally. The peak amplitudes of the evoked potentials recorded over the right cerebral hemisphere were significantly greater than those recorded from the left side. The peak amplitude was greater and the peak latency shorter for the evoked potentials produced by the midinspiratory occlusions. The results are consistent with the hypothesis that afferents mediating these potentials are stimulated by added loads to breathing and project bilaterally to the somatosensory cortex in humans.

Short Latency Vestibular Evoked Potentials

1993 ◽  
Vol 108 (3) ◽  
pp. 265-269 ◽  
Author(s):  
Glenn W. Knox ◽  
John Isaacs ◽  
Daniel Woodard ◽  
Linda Johnson ◽  
Douglas Jordan
Keyword(s):  
Evoked Potentials ◽  
Human Subjects ◽  
Auditory Brainstem ◽  
Short Latency ◽  
Signal Averaging ◽  
Triggering Mechanism ◽  
Auditory Responses ◽  
Clinical Investigations ◽  
Brainstem Response ◽  
Vestibular Evoked Potentials

Auditory responses, including the well-characterized auditory brainstem response, have been used extensively in clinical investigations. Evoked responses have not been adequately developed to investigate the vestibular system. The purpose of this study is to describe a new method for the evaluation of short-latency vestibular evoked potentials in human subjects. Standard ABR equipment is used, with a customized solid-state modification of the triggering mechanism. Signal averaging is used to record responses to multiple linear decelerations. Results indicate the presence of a short-latency wave, which is absent in vestibular-deficient subjects. The literature is reviewed and illustrative cases are presented. We believe vestibular evoked potentials are a promising new modality in investigation of vestibular physiology.

scholarly journals Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Gerolf Vanacker ◽  
José del R. Millán ◽  
Eileen Lew ◽  
Pierre W. Ferrez ◽  
Ferran Galán Moles ◽  
...  
Keyword(s):  
Control System ◽  
Shared Control ◽  
Eeg Signals ◽  
Intelligent Processing ◽  
Intelligent Wheelchair ◽  
Brain Signals ◽  
Brain Interface ◽  
The Subject ◽  
Electroencephalogram Eeg ◽  
The Brain

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at hand, however, the performance can be increased. This paper introduces a shared control system that helps the subject in driving an intelligent wheelchair with a noninvasive brain interface. The subject's steering intentions are estimated from electroencephalogram (EEG) signals and passed through to the shared control system before being sent to the wheelchair motors. Experimental results show a possibility for significant improvement in the overall driving performance when using the shared control system compared to driving without it. These results have been obtained with 2 healthy subjects during their first day of training with the brain-actuated wheelchair.

scholarly journals IPG as a new method to improve the agility of the initial analysis of the inventive design

2021 ◽  
Vol 49 (3) ◽  
pp. 549-562
Author(s):  
Masih Hanifi ◽  
Hicham Chibane ◽  
Rémy Houssin ◽  
Denis Cavallucci
Keyword(s):  
Inverse Problem ◽  
Design Method ◽  
New Method ◽  
Significant Progress ◽  
Initial Analysis ◽  
The Subject ◽  
Time Required

TRIZ method has long proven its value without appearing to the industrial world as inevitable. Design researchers have therefore addressed the limitations of the TRIZ method and have overcome them with more systematic approaches. Among these, the Inventive Design Method (IDM) has been the subject of several articles and put into practice in the industry. It is considered an improvement over TRIZ but still suffers from some drawbacks in terms of the time-consuming nature of its implementation. We focused on the IDM process by trying to both identify its areas of inefficiencies while attempting to preserve the quality of its deliverables. Our approach consists of applying the precepts of Lean to IDM. The result is the Inverse Problem Graph (IPG) method, inspired by IDM, but offering significant progress in reducing the time required to mobilize experts while preserving its inventive outcomes. This article outlines our approach for the construction of this new method.

scholarly journals Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals

2020 ◽  
Author(s):  
Antonio Quintero Rincón ◽  
Hadj Batatia ◽  
Jorge Prende ◽  
Valeria Muro ◽  
Carlos D'Giano
Keyword(s):  
Statistical Model ◽  
Human Subjects ◽  
True Positive Rate ◽  
Wave Pattern ◽  
Absence Epilepsy ◽  
Patient Specific ◽  
Eeg Signals ◽  
True Negative ◽  
Eeg Recordings

Spike-and-wave discharge (SWD) pattern detection in electroencephalography (EEG) signals is a key signal processing problem. It is particularly important for overcoming time-consuming, difficult, and error-prone manual analysis of long-term EEG recordings. This paper presents a new SWD method with a low computational complexity that can be easily trained with data from standard medical protocols. Precisely, EEG signals are divided into time segments for which the Morlet 1-D decomposition is applied. The generalized Gaussian distribution (GGD) statistical model is fitted to the resulting wavelet coefficients. A k-nearest neighbors (k-NN) self-supervised classifier is trained using the GGD parameters to detect the spike-and-wave pattern. Experiments were conducted using 106 spike-and-wave signals and 106 non-spike-and-wave signals for training and another 96 annotated EEG segments from six human subjects for testing. The proposed SWD classification methodology achieved 95 % sensitivity (True positive rate), 87% specificity (True Negative Rate), and 92% accuracy. These results set the path to new research to study causes underlying the so-called absence epilepsy in long-term EEG recordings.

scholarly journals Podmiot w paradygmacie relacji ekosystemowej

2004 ◽  
Vol 2 (1) ◽  
pp. 305-316
Author(s):  
Krysytna Najder-Stefaniak
Keyword(s):  
Human Subjects ◽  
Ecological Paradigm ◽  
The Subject

The paper presents the notion of human subjects. The author emphasizes the fact, that the thinking in ecological paradigm demand of own notion of the subject so as to substantiate the notion of responsibility and creative possibility of man. Autor state that in thinking the metaphor of an ecosystem is indispensable the notion of subjectivity fits in with the nation of man.

scholarly journals Ethical implications of procedural or protocol adjustments to clinical research involving the participation of human subjects during the COVID-19 pandemic

2021 ◽  
Vol 11 (3-4) ◽  
pp. 181-195
Author(s):  
Anetta Jedličková
Keyword(s):  
Clinical Trials ◽  
Clinical Research ◽  
Human Subjects ◽  
Subject Matter Experts ◽  
Ethical Challenges ◽  
Wide Audience ◽  
Ethical Implications ◽  
The Subject ◽  
Research Professionals ◽  
Trial Participants

Abstract The current coronavirus disease 2019 (COVID-19) pandemic has led to essential adjustments in clinical research involving human subjects. The pandemic is substantially affecting most procedures of ongoing, as well as new clinical trials related to diseases other than COVID-19. Procedural changes and study protocol modifications may significantly impact ethically salient fundamentals, such as the risk-benefit profile and safety of clinical trial participants, which raise key ethical challenges the subject-matter experts must face. This article aims to acquaint a wide audience of clinical research professionals, ethicists, as well as the general public interested in this topic with the legal, ethical and practical considerations in the field of clinical trials during the COVID-19 pandemic and to support the clinical researchers and study sponsors to fulfil their responsibilities in conducting clinical trials in a professional way that does not conflict with any legal or ethical obligations.

scholarly journals Prediction of Visual Memorability with EEG Signals: A Comparative Study

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2694
Author(s):  
Sang-Yeong Jo ◽  
Jin-Woo Jeong
Keyword(s):  
Visual Memory ◽  
Human Subjects ◽  
Memory Task ◽  
Support Vector ◽  
Classification Models ◽  
Biological Feedback ◽  
Eeg Signals ◽  
Deep Convolutional Neural Networks ◽  
K Nearest Neighbors ◽  
Visual Memory Task

Visual memorability is a method to measure how easily media contents can be memorized. Predicting the visual memorability of media contents has recently become more important because it can affect the design principles of multimedia visualization, advertisement, etc. Previous studies on the prediction of the visual memorability of images generally exploited visual features (e.g., color intensity and contrast) or semantic information (e.g., class labels) that can be extracted from images. Some other works tried to exploit electroencephalography (EEG) signals of human subjects to predict the memorability of text (e.g., word pairs). Compared to previous works, we focus on predicting the visual memorability of images based on human biological feedback (i.e., EEG signals). For this, we design a visual memory task where each subject is asked to answer whether they correctly remember a particular image 30 min after glancing at a set of images sampled from the LaMemdataset. During the visual memory task, EEG signals are recorded from subjects as human biological feedback. The collected EEG signals are then used to train various classification models for prediction of image memorability. Finally, we evaluate and compare the performance of classification models, including deep convolutional neural networks and classical methods, such as support vector machines, decision trees, and k-nearest neighbors. The experimental results validate that the EEG-based prediction of memorability is still challenging, but a promising approach with various opportunities and potentials.

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