RESUMO
The use of physiological models in medicine allows the evaluation of new hypotheses, development of diagnosis and clinical treatment applications, and development of training and medical education tools, as well as medical device design. Although several mathematical models of physiological systems have been presented in the literature, few of them are able to predict the human cardiorespiratory response under physical exercise stimulus adequately. This paper aims to present the building and comparison of an integrated cardiorespiratory model focused on the prediction of the healthy human response under rest and aerobic exercise. The model comprises cardiovascular circulation, respiratory mechanics, and gas exchange system, as well as cardiovascular and respiratory controllers. Every system is based on previously reported physiological models and incorporates reported mechanisms related to the aerobic exercise dynamics. Experimental data of 30 healthy male volunteers undergoing a cardiopulmonary exercise test and simulated data from two of the most current and complete cardiorespiratory models were used to evaluate the performance of the presented model. Experimental design, processing, and exploratory analysis are described in detail. The simulation results were compared against the experimental data in steady state and in transient regime. The predictions of the proposed model closely mimic the experimental data, showing in overall the lowest prediction error (10.35%), the lowest settling times for cardiovascular and respiratory variables, and in general the fastest and similar responses in transient regime. These results suggest that the proposed model is suitable to predict the cardiorespiratory response of healthy adult humans under rest and aerobic exercise conditions.NEW & NOTEWORTHY This paper presents a new cardiorespiratory model focused on the prediction of the healthy human response under rest and aerobic dynamic exercise conditions. Simulation results of cardiorespiratory variables are compared against experimental data and two of the most current and complete cardiorespiratory models.
Assuntos
Vasos Sanguíneos/fisiologia , Simulação por Computador , Exercício Físico , Coração/fisiologia , Hemodinâmica , Pulmão/fisiologia , Modelos Cardiovasculares , Respiração , Adaptação Fisiológica , Adolescente , Adulto , Aptidão Cardiorrespiratória , Humanos , Masculino , Pessoa de Meia-Idade , Descanso , Fatores de Tempo , Adulto JovemRESUMO
This paper presents a dataset of high-density surface EMG signals (HD-sEMG) designed to study patterns of sEMG spatial distribution over upper limb muscles during voluntary isometric contractions. Twelve healthy subjects performed four different isometric tasks at different effort levels associated with movements of the forearm. Three 2-D electrode arrays were used for recording the myoelectric activity from five upper limb muscles: biceps brachii, triceps brachii, anconeus, brachioradialis, and pronator teres. Technical validation comprised a signals quality assessment from outlier detection algorithms based on supervised and non-supervised classification methods. About 6% of the total number of signals were identified as "bad" channels demonstrating the high quality of the recordings. In addition, spatial and intensity features of HD-sEMG maps for identification of effort type and level, have been formulated in the framework of this database, demonstrating better performance than the traditional time-domain features. The presented database can be used for pattern recognition and MUAP identification among other uses.
Assuntos
Cotovelo/fisiologia , Eletromiografia , Contração Isométrica , Músculo Esquelético/fisiologia , Algoritmos , Antebraço/fisiologia , HumanosRESUMO
The aim of this paper is to analyze muscle load-sharing in patients with Lateral Epicondylitis during dynamic endurance contractions by means of non-linear prediction of surface EMG signals. The proposed non-linear cross-prediction scheme was used to predict the envelope of an EMG signal and is based on locally linear models built in a lag-embedded Euclidean space. The results were compared with a co-activation index, a common measure based on the activation of a muscle pair. Non-linear prediction revealed changes in muscle coupling, that is load-sharing, over time both in a control group and Lateral Epicondylitis (p < 0.05), even when subjects did not report pain at the end of the exercise. These changes were more pronounced in patients, especially in the first part of the exercise and up to 50% of the total endurance time (p < 0.05). By contrast, the co-activation index showed no differences between groups. Results reflect the changing nature of muscular activation strategy, presumably because of the mechanisms triggered by fatigue. Strategies differ between controls and patients, pointing to an altered coordination in Lateral Epicondylitis.
RESUMO
The hypothesis of this study is that muscular activity measured through surface electromyography (sEMG) is useful to estimate the work of breathing (WOB) and respiratory mechanics. Thirty-two healthy volunteers were non-invasively ventilated, and an airflow resistor was attached to the airway circuit. sEMG signals from diaphragm, intercostal and sternocleidomastoid muscles were processed and compared with WOB changes. The airway resistance was increased from a median of 9.58 to 22.51 cmH2O/L/s adding a resistance of 20 cmH2O/L/s, achieving the lower compliance too. The respiratory mechanics changes implied linear increases in WOB, with Pearson correlation of 88.43% respect to changes in resistance. Muscles increased their activity in agreement with changes of WOB, being higher the increment in diaphragm followed by sternocleidomastoid. The non-invasively monitored respiratory muscles activity allowed evaluating the changes in WOB when it depends on addition of obstructive loads, confirming that it could be used to improve the available respiratory mechanics and WOB monitoring tools.
Assuntos
Ventilação não Invasiva/métodos , Síndrome do Desconforto Respiratório/fisiopatologia , Mecânica Respiratória/fisiologia , Músculos Respiratórios/fisiologia , Trabalho Respiratório , Adulto , Eletromiografia , Potencial Evocado Motor/fisiologia , Feminino , Voluntários Saudáveis , Humanos , Masculino , Estudos Retrospectivos , Estatísticas não Paramétricas , Adulto JovemRESUMO
BACKGROUND: Presenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-ß. The largest family group of carriers with E280A mutation is found in Antioquia, Colombia. The study of mutation carriers provides a unique opportunity to identify brain changes in stages previous to AD. Electroencephalography (EEG) is a low cost and minimally invasiveness technique that enables the following of brain changes in AD. OBJECTIVE: To examine how previous reported differences in EEG for Theta and Alpha-2 rhythms in E280A subjects are related to specific regions in cortex and could be tracked across different ages. METHODS: EEG signals were acquired during resting state from non-carriers and carriers, asymptomatic and symptomatic subjects from E280A kindred from Antioquia, Colombia. Independent component analysis (ICA) and inverse solution methods were used to locate brain regions related to differences in Theta and Alpha-2 bands. RESULTS: ICA identified two components, mainly related to the Precuneus, where the differences in Theta and Alpha-2 exist simultaneously at asymptomatic and symptomatic stages. When the ratio between Theta and Alpha-2 is used, significant correlations exist with age and a composite cognitive scale. CONCLUSION: Theta and Alpha-2 rhythms are altered in E280A subjects. The alterations are possible to track at Precuneus regions using EEG, ICA, and inverse solution methods.
Assuntos
Doença de Alzheimer/genética , Doença de Alzheimer/patologia , Ondas Encefálicas/genética , Lobo Parietal/fisiopatologia , Polimorfismo de Nucleotídeo Único/genética , Presenilina-1/genética , Adulto , Alanina/genética , Doença de Alzheimer/complicações , Doença de Alzheimer/fisiopatologia , Mapeamento Encefálico , Ondas Encefálicas/fisiologia , Transtornos Cognitivos/etiologia , Transtornos Cognitivos/genética , Eletroencefalografia , Feminino , Ácido Glutâmico/genética , Humanos , Masculino , Pessoa de Meia-Idade , Testes Neuropsicológicos , Análise de Componente Principal , Escalas de Graduação Psiquiátrica , Adulto JovemRESUMO
BACKGROUND: Recent studies report increases in neural activity in brain regions critical to episodic memory at preclinical stages of Alzheimer's disease (AD). Although electroencephalography (EEG) is widely used in AD studies, given its non-invasiveness and low cost, there is a need to translate the findings in other neuroimaging methods to EEG. OBJECTIVE: To examine how the previous findings using functional magnetic resonance imaging (fMRI) at preclinical stage in presenilin-1 E280A mutation carriers could be assessed and extended, using EEG and a connectivity approach. METHODS: EEG signals were acquired during resting and encoding in 30 normal cognitive young subjects, from an autosomal dominant early-onset AD kindred from Antioquia, Colombia. Regions of the brain previously reported as hyperactive were used for connectivity analysis. RESULTS: Mutation carriers exhibited increasing connectivity at analyzed regions. Among them, the right precuneus exhibited the highest changes in connectivity. CONCLUSION: Increased connectivity in hyperactive cerebral regions is seen in individuals, genetically-determined to develop AD, at preclinical stage. The use of a connectivity approach and a widely available neuroimaging technique opens the possibility to increase the use of EEG in early detection of preclinical AD.