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1.
Texto & contexto enferm ; 29: e20180345, Jan.-Dec. 2020. tab
Artigo em Inglês | LILACS, BDENF - Enfermagem | ID: biblio-1059130

RESUMO

ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.


RESUMEN Objetivo: analizar el contenido de las características definidoras del Diagnóstico de Enfermería de Patrón de Sueño Perjudicado (00198) en pacientes con Síndrome Coronario Agudo. Método: análisis de contenido realizado por especialistas que obtuvieron una puntaje mayor o igual a cinco, de acuerdo con los criterios establecidos: experiencia clínica, en docencia y/o en investigación; participación en grupos de investigación; doctorado; maestría; especialización y/o residencia en cardiología y/o en clasificaciones de enfermería. Se evaluaron ocho características definidoras en cuanto a su relación con la población, relevancia, claridad y precisión. Se realizó un análisis estadístico descriptivo para caracterizar la muestra, una prueba estadística de binomios para establecer si había concordancia entre los especialistas y las pruebas de chi-cuadrado y exacto de Fisher para establecer asociaciones entre los puntos evaluados y las variables de los especialistas. Resultados: del estudio participaron 54 especialistas. Las características definidoras que evaluaron los especialistas fueron las siguientes: insatisfacción con el sueño, no sentirse descansado, privación del sueño, alteración en el patrón de sueño, despertar no intencional, dificultad para iniciar el sueño y somnolencia diurna. Se registró una asociación estadística significativa entre los puntos evaluados y las siguientes variables: tiempo de formación, tiempo de ejercicio en la profesión y puntuación. Conclusión: siete de las ocho Características definidoras se consideraron válidas después de aplicar la prueba de binomios. El presente estudio contribuirá a perfeccionar el Diagnóstico de Enfermería de Patrón de Sueño Perjudicado (000198) y podrá hacer posible que se mejore la calidad de la atención de pacientes internados con Síndrome Coronario Agudo en lo referente a alteraciones en el patrón de sueño. La etapa del análisis de contenido servirá de ayuda para la próxima etapa del proceso de validación del presente diagnóstico: la validación clínica.


RESUMO Objetivo: analisar o conteúdo das características definidoras do Diagnóstico de Enfermagem Padrão de Sono Prejudicado (00198) em pacientes com Síndrome Coronariana Aguda. Método: análise de conteúdo realizada por especialistas que atingiram pontuação igual ou maior a cinco, de acordo com critérios estabelecidos: experiência clínica, no ensino e/ou pesquisa; participação em grupos de pesquisa; doutorado; mestrado; especialização e/ou residência em cardiologia e/ou sono e/ou classificações de enfermagem. Oito características definidoras foram avaliadas quanto a sua relação com a população, relevância, clareza e precisão. Realizou-se estatística descritiva para caracterização da amostra, teste estatístico binomial para estabelecer se há concordância entre os especialistas e qui-quadrado e exato de Fisher para estabelecer associações entre os itens avaliados e variáveis dos especialistas. Resultados: 54 especialistas participaram do estudo. As características definidoras validadas pelos especialistas foram: insatisfação com o sono, não se sentir descansado, privação do sono, alteração do padrão de sono, despertar não intencional, dificuldade para iniciar o sono e sonolência diurna. Houve associação estatística significativa entre itens avaliados e as variáveis tempo de formação, tempo de atuação e pontuação. Conclusão: sete das oito características definidoras foram consideradas válidas após aplicação de teste binomial. O presente estudo contribuirá para o refinamento do Diagnóstico de Enfermagem Padrão de Sono Prejudicado (000198) e poderá possibilitar a melhoria da qualidade do atendimento de pacientes internados com Síndrome Coronariana Aguda no que tange a alterações do padrão de sono. A etapa de análise de conteúdo subsidiará a próxima etapa do processo de validação do presente diagnóstico, a validação clínica.


Assuntos
Cardiologia , Estudo de Validação , Processo de Enfermagem , Pesquisa , Sono , Privação do Sono , Diagnóstico de Enfermagem , Unidades de Cuidados Coronarianos , Diagnóstico , Síndrome Coronariana Aguda
2.
Sleep Med Clin ; 15(3S): e1-e7, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-33008491

RESUMO

Prior to the COVID-19 pandemic, few pediatric sleep medicine clinicians routinely engaged in telemedicine visits because thorough examinations were difficult to perform; there was lack of consistent reimbursement; and many clinicians were busy with their in-office practices. This article reviews how telemedicine has been explored in pediatric sleep medicine prior to the pandemic, current applications of telemedicine, challenges, and reimagining pediatric sleep within the realm of telemedicine.


Assuntos
Pediatria , Medicina do Sono , Transtornos do Sono-Vigília/diagnóstico , Transtornos do Sono-Vigília/terapia , Telemedicina/métodos , Betacoronavirus , Criança , Pressão Positiva Contínua nas Vias Aéreas , Infecções por Coronavirus , Humanos , Otolaringologia , Pandemias , Pneumonia Viral , Polissonografia , Encaminhamento e Consulta , Síndrome das Pernas Inquietas/diagnóstico , Síndrome das Pernas Inquietas/terapia , Sono , Apneia Obstrutiva do Sono/diagnóstico , Apneia Obstrutiva do Sono/terapia , Transtornos do Sono do Ritmo Circadiano/diagnóstico , Transtornos do Sono do Ritmo Circadiano/terapia , Distúrbios do Início e da Manutenção do Sono/diagnóstico , Distúrbios do Início e da Manutenção do Sono/terapia
3.
Yakugaku Zasshi ; 140(10): 1207-1212, 2020.
Artigo em Japonês | MEDLINE | ID: mdl-32999199

RESUMO

T-type calcium channels are low-threshold voltage-gated calcium channel and characterized by unique electrophysiological properties such as fast inactivation and slow deactivation kinetics. All subtypes of T-type calcium channel (Cav3.1, 3.2 and 3.3) are widely expressed in the central nerve system, and they have an important role in homeostasis of sleep, pain response, and development of epilepsy. Recently, several reports suggest that T-type calcium channels may mediate neuronal plasticity in the mouse brain. We succeeded to develop T-type calcium channel enhancer ethyl 8'-methyl-2',4-dioxo-2-(piperidin-1-yl)-2'H-spiro[cyclopentane-1,3'-imidazo[1,2-a]pyridine]-2-ene-3-carboxylate (SAK3) which enhances Cav3.1 and 3.3 currents in each-channel expressed neuro2A cells. SAK3 can promote acetylcholine (ACh) release in the mouse hippocampus via enhancing T-type calcium channel. In this review, we have introduced the role of T-type calcium channel, especially Cav3.1 channel in the mouse hippocampus based on our previous data using SAK3 and Cav3.1 knockout mice.


Assuntos
Canais de Cálcio Tipo T/efeitos dos fármacos , Canais de Cálcio Tipo T/fisiologia , Imidazóis/farmacologia , Neurônios/fisiologia , Compostos de Espiro/farmacologia , Acetilcolina/metabolismo , Animais , Encéfalo/fisiologia , Canais de Cálcio Tipo T/genética , Canais de Cálcio Tipo T/metabolismo , Células Cultivadas , Sistema Nervoso Central/metabolismo , Fenômenos Eletrofisiológicos , Epilepsia/etiologia , Expressão Gênica/efeitos dos fármacos , Hipocampo/metabolismo , Homeostase , Camundongos , Plasticidade Neuronal , Dor/etiologia , Ratos , Sono/fisiologia
4.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 6-12, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076639

RESUMO

Changes in innate and adaptive immunity depending on sleep state and the influence of prolonged and restricted sleep time on morbidity and mortality as well as vulnerability to infections and effect of vaccination are discussed. Patients with insomnia have compromised immunity that could be reversed with the successful treatment of disordered sleep.


Assuntos
Distúrbios do Início e da Manutenção do Sono , Transtornos do Sono-Vigília , Humanos , Imunidade , Sono
5.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 13-21, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076640

RESUMO

In this paper, the authors review experimental data on the ability to perceive the passage of time during wakefulness and sleep. The evolutionary significance of the sense of time and its role in cognitive functions is discussed. Recent findings on neural mechanisms underlying perception and estimation of time as well as temporal order judgments are described. Similarities and differences of the awareness of time in wakefulness, REM, and NREM sleep are analyzed.


Assuntos
Estado de Consciência , Vigília , Sono
6.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 22-25, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076641

RESUMO

OBJECTIVE: To evaluate an influence of intracerebral L-lactate concentration on sleep-wake cycle. MATERIAL AND METHODS: Twenty adult male white rats preliminary implanted (under general anesthesia) with the electrodes for neocortical EEG and a single cannula to a lateral ventricle were used as subjects. A 5 µl bolus of either saline or a solution of sodium L- or D-lactate (0.1 mg, 0.2 M, Sigma-Aldrich) was injected through the cannula and followed by a 6-hr recording. RESULTS AND CONCLUSION: Administration of L-lactate does not influence sleep-wake cycle of experimental animals. At the same time, its artificial optical analog D-lactate induces the significant (as compared to the control) decrease in wake (34.8% to 26.5%) and increase in slow wave sleep (57.4% to 69.2%). It has been suggested that D-lactate may be the antagonist of one or several L-lactate receptors.


Assuntos
Ácido Láctico , Vigília , Animais , Eletroencefalografia , Masculino , Ratos , Sono
7.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 34-39, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076643

RESUMO

OBJECTIVE: To validate the Scale of Behavioral Factors of Sleep Disturbances is people without diagnosed sleep disorders, as well as to reveal direct and indirect effects of sleep behavior on subjective sleep quality and well-being. MATERIAL AND METHODS: Sample 1 included 66 people, aged 19-55 years, without diagnosed sleep disturbances who completed the Scale of Behavioral Factors of Sleep Disturbances (subscales for Taking Medications and Non-Medications, Alcohol, Tonic Drinks and Using Gadgets in the evening, Delaying Bedtime, Self-Limitations, Sleep Ritual, Adherence to the Regimen, Postponement of the Morning Rise), Insomnia Severity Index, Hospital Scale of Anxiety and Depression. Sample 2 included 174 people, aged 17-57 years, without diagnosed sleep disorders, who completed Beck's Anxiety and Depression Inventories in addition to the scales administered to sample 1. Forty-four people completed the Scale of Behavioral Factors again after two weeks. RESULTS: The moderate reliability-consistency (α=0.62-0.93) and retest reliability of the subscales (r=0.33-0.79, p<0.01) as well as the relationship between poor sleep, especially in the evening, self-limitating behavior and sleep-related complaints of sleep, anxiety and, to a lesser extent, complaints of depressive symptoms (r=0.15-0.58, p<0.05) were revealed. All behavioral strategies, except for the sleep ritual, are characterized by an indirect effect on anxiety, depressiveness, poor well-being (|ß|=0.03-0.24): the more often a person uses them, the more likely he/she has sleep-related complaints, which, in turn, is a risk factor for poorer well-being. Self-limiting behavior and delaying the morning rise are associated with a lower level of well-being, even in the absence of sleep-related complaints (ß=0.23-0.34, p<0.01). CONCLUSIONS: The Scale of Behavioral Factors of Sleep Disturbances can be used for research purposes. The results of the study suggest that the dysfunctional role of behavior on well-being is predominantly indirect (through the perpetuation of complaints), but it can also be direct (regardless of complaints of sleep disorders).


Assuntos
Distúrbios do Início e da Manutenção do Sono , Transtornos do Sono-Vigília , Adolescente , Adulto , Transtornos de Ansiedade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Reprodutibilidade dos Testes , Sono , Distúrbios do Início e da Manutenção do Sono/etiologia , Transtornos do Sono-Vigília/etiologia , Adulto Jovem
8.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 46-54, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076645

RESUMO

Sleep-disordered breathing is one of the most common sleep-associated disorders. At the same time, their prevalence tends to increase with age. One of the most common forms of respiratory failure during sleep is obstructive sleep apnea syndrome (OSA), which is characterized by repeated episodes of cessation of breathing or a significant decrease in respiratory flow while maintaining respiratory effort as a result of obstruction of the upper respiratory tract. Drugs have different effects on OSA. There are drugs that worsen OSA, drugs that do not affect OSA, and drugs that improve OSA. Benzodiazepines, opioids, muscle relaxants, and male hormones adversely affect OSA. Also of clinical interest are drugs that do not affect OSA and can even potentially improve respiratory function during sleep. These include anti-inflammatory drugs, diuretics, bronchodilators, acetylcholinesterase inhibitors, antiparkinsonian, decongestant drugs, drugs for intranasal use, topical soft tissue lubricant, female sex hormones. Finally, the effect of a number of drugs on OSA is not definitively established and requires further study (benzodiazepine receptor agonist hypnotics, angiotensin-converting enzyme inhibitors, opiate receptor antagonists, antidepressants, proton-pump inhibitors, TNF-α antagonists, glutamate receptor antagonists, drugs for the treatment of acromegaly, drugs for the treatment of narcolepsy). Raising awareness of doctors of different specialties about the impact of various drugs on OSA can not only prevent the deterioration of respiratory distress during sleep, but also, with a rational individual approach, makes it possible to even improve the quality of sleep and blood saturation, thereby contributing to a more favorable course of OSA and the underlying disease.


Assuntos
Síndromes da Apneia do Sono , Apneia Obstrutiva do Sono , Feminino , Humanos , Hipnóticos e Sedativos/farmacologia , Hipnóticos e Sedativos/uso terapêutico , Masculino , Prevalência , Sono , Apneia Obstrutiva do Sono/complicações , Apneia Obstrutiva do Sono/tratamento farmacológico
9.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 62-67, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076647

RESUMO

Behavioral insomnia is the most common sleep disorder in young children. It significantly reduces the quality of parent's life and is one of the common complaints to a pediatrician or neurologist. The basis treatment of childhood insomnia is behavioral therapy, which includes sleep hygiene, age-appropriate daily routine and sleep associations, stable bedtime routines, positive reinforcement, bedtime fading, scheduled awakenings. Although a systematic ignoring («crying it out¼) is effective and widely used in behavioral therapy, it has low compliance and its safety is insufficiently studied. Therefore, a systematic ignoring is not a priority method of behavioral therapy and should not be used in children under 6 months of age. Behavioral therapy of childhood insomnia is complemented by psychological and informational support from parents, and in some cases, drug therapy. Prevention includes education of expectant parents on baby sleep hygiene.


Assuntos
Distúrbios do Início e da Manutenção do Sono , Transtornos do Sono-Vigília , Terapia Comportamental , Criança , Pré-Escolar , Humanos , Lactente , Sono , Higiene do Sono , Distúrbios do Início e da Manutenção do Sono/diagnóstico , Distúrbios do Início e da Manutenção do Sono/terapia
10.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 68-73, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076648

RESUMO

OBJECTIVE: To summarize published data on the prevalence, characteristics and diagnostic criteria of sleep disorders in epilepsy. MATERIAL AND METHODS: A search of published articles was performed in Medline (Pubmed), Scopus, Web of Science and e-library databases. RESULTS: Epidemiologic, clinical and diagnostic aspects of excessive daytime sleepiness, obstructive sleep apnea and central apnea, restless leg syndrome and parasomnias related to slow-wave and REM-sleep in patients with epilepsy were analyzed. CONCLUSIONS: Further studies are needed to gain an insight into the complex associations of sleep disorders in epilepsy to optimize diagnostic and treatment approaches and to improve the quality of life in that patient population.


Assuntos
Epilepsia , Parassonias , Transtornos do Sono-Vigília , Epilepsia/diagnóstico , Epilepsia/epidemiologia , Humanos , Parassonias/diagnóstico , Parassonias/epidemiologia , Qualidade de Vida , Sono , Transtornos do Sono-Vigília/diagnóstico , Transtornos do Sono-Vigília/epidemiologia , Transtornos do Sono-Vigília/etiologia
11.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 80-84, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076650

RESUMO

OBJECTIVE: To evaluate the features of structural organization of sleep in men 35-55 years of age with varying degrees of severity and duration of clinical manifestations of obstructive sleep apnea syndrome (OSAS) from the perspective of modern pathophysiology. MATERIAL AND METHODS: The study included 49 male patients, aged 35-55 years (average age was 43.4±9.2 years), with a body mass index (BMI) of 33.64±1.2 kg/m2 with complaints of snoring of varying degrees of intensity, daytime sleepiness, arrest of breathing during sleep (according to others). The control group consisted of 15 healthy men who did not have complaints of sleep disorders and clinical manifestations of OSAS. The Pittsburgh sleep quality index (PSQI) questionnaire and polysomnographic monitoring study (PSG) were used. According to the results of the polysomnographic study, all patients were divided into 2 subgroups: 12 men of group 1with moderate OSAS (duration of clinical manifestations 4.5±1.0 years) and 37 men of group 2 with severe OSAS (duration 1.5±1.5 years). RESULTS: A decrease in the sleep quality was detected in 61.9% of patients in the group 1 and 89.2% of patients in the group 2. Significantly higher scores for the components of «sleep disturbance¼ and «daytime dysfunction¼ in patients with a longer duration of clinical manifestations were detected. Changes in the structure of sleep were identified in patients compared with controls. A statistically significant increase in WASO led to the reduction of sleep efficiency. In patients of group 2, a deficiency of the deep stages and REM-sleep was determined. There was a significant increase in the number of arousals in patients of both groups relative to the controls. Moreover, significant between-group differences were found. CONCLUSION: The short duration of OSAS symptoms causes a restructuring of the physiological system of sleep homeostasis to a different level of functioning with compensatory hyperfunction of the structures responsible for REM sleep and a decrease (economization) in the activity of anabolic processes during sleep due to a decrease in SWS, which is a characteristic feature of long-term adaptation. Severe course of OSAS leads to the appearance of specific phenomena of gross structural disorganization of sleep - «alpha-delta sleep¼ and disruption of its segmental organization, which shows the depletion and disruption of compensatory-adaptive mechanisms in the system of sleep homeostasis, disintegration and transformation of functional physiological system in the pathological condition.


Assuntos
Apneia Obstrutiva do Sono , Adaptação Fisiológica , Adulto , Humanos , Masculino , Pessoa de Meia-Idade , Polissonografia , Sono , Ronco
12.
Zh Nevrol Psikhiatr Im S S Korsakova ; 120(9. Vyp. 2): 91-97, 2020.
Artigo em Russo | MEDLINE | ID: mdl-33076652

RESUMO

The phenomenon of local sleep, a concept that has come into somnology relatively recently, has been attracting more and more attention of researchers. Under this name, two groups of phenomena are considered. The first is the appearance in different parts of the cerebral cortex of different EEG patterns during general sleep. The second is the disconnection of certain cortical areas from the processing of extero- or proprioceptive signals and their transition to spiking and slow wave electrical activity, which is typical for sleep, while awake. The authors believe that it is the second phenomenon that can be called real local sleep. The appearance of local cortical sleep is inseparably linked with the occurrence of local wakefulness. It can be expected that the occurrence of local sleep will have detrimental consequences for behavior in urgent and complicated situations, while local wakefulness can adversely affect the visceral health of the body. A possible way of early detection of the local sleep development is proposed. In conclusion, some methodological problems on the way of electrophysiological studies of the local aspects of sleep and wakefulness are considered.


Assuntos
Eletroencefalografia , Sono , Córtex Cerebral , Vigília
13.
Artigo em Inglês | MEDLINE | ID: mdl-33017930

RESUMO

Sleep spindles are associated with normal brain development, memory consolidation and infant sleep-dependent brain plasticity and can be used by clinicians in the assessment of brain development in infants. Sleep spindles can be detected in EEG, however, identifying sleep spindles in EEG recordings manually is very time-consuming and typically requires highly trained experts. Research on the automatic detection of sleep spindles in infant EEGs has been limited to-date. In this study, we present a novel supervised machine learning-based algorithm to detect sleep spindles in infant EEG recordings. EEGs collected from 141 ex-term born infants and 6 ex-preterm born infants, recorded at 4 months of age (adjusted), were used to train and test the algorithm. Sleep spindles were annotated by experienced clinical physiologists as the gold standard. The dataset was split into training (81 ex-term), validation (30 ex-term), and testing (30 ex-term + 6 ex-preterm) set. 15 features were selected for input into a random forest algorithm. Sleep spindles were detected in the ex-term infant EEG test set with 92.1% sensitivity and 95.2% specificity. For ex-preterm born infants, the sensitivity and specificity were 80.3% and 91.8% respectively. The proposed algorithm has the potential to assist researchers and clinicians in the automated analysis of sleep spindles in infant EEG.


Assuntos
Eletroencefalografia , Consolidação da Memória , Algoritmos , Humanos , Recém-Nascido , Sensibilidade e Especificidade , Sono
14.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 146-149, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33017951

RESUMO

The aim of this study was to design a new deep learning framework for end-to-end processing of polysomnograms. This framework can be trained to analyze whole-night polysomnograms without the limitations of and bias towards clinical scoring guidelines. We validated the framework by predicting the age of subjects. We designed a hierarchical attention network architecture, which can be pre-trained to predict labels based on 5-minute epochs of data and fine-tuned to predict based on whole-night polysomnography recordings. The model was trained on 511 recordings from the Cleveland Family study and tested on 146 test subjects aged between 6 to 88 years. The proposed network achieved a mean absolute error of 7.36 years and a correlation to true age of 0.857. Sleep can be analyzed using our end-to-end deep learning framework, which we expect can generalize to learning other subject-specific labels such as sleep disorders. The difference in the predicted and chronological age is further proposed as an estimate of biological age.


Assuntos
Aprendizado Profundo , Redes Neurais de Computação , Atenção , Polissonografia , Sono
15.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 154-157, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33017953

RESUMO

Sleep disorders have become more common due to the modern lifestyle and stress. The most severe case of sleep disorders called apnea is characterized by a complete breaking block, leading to awakening and subsequent sleep disturbances. The automatic detection of sleep arousals is still challenging. In this paper, a novel method is presented to detect non-apnea sources of arousals during sleep using Polysomnography(PSG) recordings. After the preprocessing, a sequence-to-sequence deep neural network (DNNs) consisting of a series of Bidirectional long short-term memory (Bi-LSTM) layer, and fully connected layers were trained to classify samples in the segments. Initially, three different models were prepared for different datasets. Finally, obtaining the classification result through an ensemble model consisting of the three trained models. The result shows that the area under the receiver precision-recall curve (AUPRC) is 0.59 for the test dataset exceeding the performance of the classifiers in the existing literature.Clinical relevance- Analyzing Polysomnographic recordings is a time consuming a critical process yet to identify sleep disorders. These recordings span several hours and contain different data streams that include EEG, EMG, etc. This paper proposes a system that can automatically detect respiratory effort-related arousals using a deep neural network from Polysomnographic Recordings. By automating this process with a machine learning-based solution that can eliminate the manual process while facilitating further improvements of the system with future data.


Assuntos
Redes Neurais de Computação , Sono , Nível de Alerta , Aprendizado de Máquina , Polissonografia
16.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 565-568, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018052

RESUMO

The transition from wake to sleep is a continuum that is well characterized by the electroencephalogram (EEG) power spectral ratio (ρ) between the beta (15 to 30 Hz) and theta (4 to 8 Hz) bands. From wake to sleep, the value of ρ gradually decreases.We have designed and implemented a single EEG-signal based closed-loop system that leverages ρ to modulate the volume of a pink-noise type of audio such that the volume becomes gradually softer as sleep initiates. A proof-of-concept trial was conducted with this system and it was found that using this concept resulted in a reduction of sleep latency and latency to deep sleep.


Assuntos
Eletroencefalografia , Sono , Latência do Sono
17.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 612-615, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018062

RESUMO

In the fetal period, the progressive coordination among several subsystems promotes the emergence of sleep states. For this reason, the characterization of fetal behavioral states plays a crucial role in assessing fetal wellbeing. Nevertheless, current methodologies aimed at assessing fetal sleep states over limited time intervals require visual observation of the traces. In this work, we validate a point process approach for a continuous in time characterization of fetal behavioral states. We compare traditional heart rate variability (HRV) parameters and the corresponding point process-extracted sets of time and frequency measures in a population of 39 fetuses whose fetal ECG was recorded overnight during the third trimester of gestation.Clinical Relevance- Our results provide evidence for the proposed point process framework to capture fetal HRV dynamics with a high degree of reliability, suggesting its potential application for instantaneous estimates of fetal sleep states.


Assuntos
Frequência Cardíaca Fetal , Sono , Feminino , Feto , Humanos , Gravidez , Terceiro Trimestre da Gravidez , Reprodutibilidade dos Testes
18.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 625-628, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018065

RESUMO

In this paper, we propose a novel method of automatic sleep stage classification based on single-channel electroencephalography (EEG). First, we use marginal Hilbert spectrum (MHS) to depict time-frequency domain features of five sleep stages of 30-second (30s) EEG epochs. Second, the extracted MHSs features are input to a convolutional neural network (CNN) as multi-channel sequences for the sleep stage classification task. Third, a focal loss function is introduced into the CNN classifier to alleviate the classes imbalance problem of sleep data. Experimental results show that the proposed method can obtain an overall accuracy of 86.14% on the public Sleep-EDF dataset, which is competitive and worth exploring among a series of deep learning methods for the automatic sleep stage classification task.


Assuntos
Redes Neurais de Computação , Fases do Sono , Eletroencefalografia , Sono
19.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 629-632, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018066

RESUMO

Studying the neural correlates of sleep can lead to revelations in our understanding of sleep and its interplay with different neurological disorders. Sleep research relies on manual annotation of sleep stages based on rules developed for healthy adults. Automating sleep stage annotation can expedite sleep research and enable us to better understand atypical sleep patterns. Our goal was to create a fully unsupervised approach to label sleep and wake states in human electro-corticography (ECoG) data from epilepsy patients. Here, we demonstrate that with continuous data from a single ECoG electrode, hidden semi-Markov models (HSMM) perform best in classifying sleep/wake states without excessive transitions, with a mean accuracy (n=4) of 85.2% compared to using K-means clustering (72.2%) and hidden Markov models (81.5%). Our results confirm that HSMMs produce meaningful labels for ECoG data and establish the groundwork to apply this model to cluster sleep stages and potentially other behavioral states.


Assuntos
Eletrocorticografia , Vigília , Adulto , Humanos , Polissonografia , Sono , Fases do Sono
20.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 641-644, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018069

RESUMO

Deep learning has become popular for automatic sleep stage scoring due to its capability to extract useful features from raw signals. Most of the existing models, however, have been overengineered to consist of many layers or have introduced additional steps in the processing pipeline, such as converting signals to spectrogram-based images. They require to be trained on a large dataset to prevent the overfitting problem (but most of the sleep datasets contain a limited amount of class-imbalanced data) and are difficult to be applied (as there are many hyperparameters to be configured in the pipeline). In this paper, we propose an efficient deep learning model, named TinySleepNet, and a novel technique to effectively train the model end-to-end for automatic sleep stage scoring based on raw single-channel EEG. Our model consists of a less number of model parameters to be trained compared to the existing ones, requiring a less amount of training data and computational resources. Our training technique incorporates data augmentation that can make our model be more robust the shift along the time axis, and can prevent the model from remembering the sequence of sleep stages. We evaluated our model on seven public sleep datasets that have different characteristics in terms of scoring criteria and recording channels and environments. The results show that, with the same model architecture and the training parameters, our method achieves a similar (or better) performance compared to the state-of-the-art methods on all datasets. This demonstrates that our method can generalize well to the largest number of different datasets.


Assuntos
Aprendizado Profundo , Eletroencefalografia , Rememoração Mental , Sono , Fases do Sono
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