Academic literature on the topic 'Sleep disorders Diagnosis Victoria'
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Journal articles on the topic "Sleep disorders Diagnosis Victoria"
Thomas, Simone, Kate Lycett, Nicole Papadopoulos, Emma Sciberras, and Nicole Rinehart. "Exploring Behavioral Sleep Problems in Children With ADHD and Comorbid Autism Spectrum Disorder." Journal of Attention Disorders 22, no. 10 (December 4, 2015): 947–58. http://dx.doi.org/10.1177/1087054715613439.
Full textGarrido-Cumbrera, M., V. Navarro-Compán, L. Christen, C. Bundy, R. Mahapatra, S. Makri, C. J. Delgado-Domínguez, J. Correa-Fernández, and D. Poddubnyy. "POS0961 PREVALENCE AND ASSOCIATED FACTORS OF SLEEP DISORDERS IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS. RESULTS FROM THE EUROPEAN MAP OF AXIAL SPONDYLOARTHRITIS (EMAS)." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 745. http://dx.doi.org/10.1136/annrheumdis-2021-eular.981.
Full textPapadopoulos, Nicole, Emma Sciberras, Harriet Hiscock, Katrina Williams, Jane McGillivray, Cathrine Mihalopoulos, Lidia Engel, et al. "Sleeping sound with autism spectrum disorder (ASD): study protocol for an efficacy randomised controlled trial of a tailored brief behavioural sleep intervention for ASD." BMJ Open 9, no. 11 (November 2019): e029767. http://dx.doi.org/10.1136/bmjopen-2019-029767.
Full textGarrido-Cumbrera, M., V. Navarro-Compán, C. Bundy, L. Christen, R. Mahapatra, S. Makri, C. J. Delgado-Domínguez, J. Correa-Fernández, P. Plazuelo-Ramos, and D. Poddubnyy. "POS0988 FACTORS ASSOCIATED WITH PAIN INTENSITY IN AXIAL SPONDYLOARTHRITIS. RESULTS FROM THE EUROPEAN MAP OF AXIAL SPONDYLOARTHRITIS (EMAS)." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 762.1–762. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2439.
Full textGarrido-Cumbrera, M., C. Bundy, V. Navarro-Compán, L. Christen, R. Mahapatra, S. Makri, C. J. Delgado-Domínguez, D. Gálvez-Ruiz, P. Plazuelo-Ramos, and D. Poddubnyy. "POS0989 FACTORS ASSOCIATED WITH INABILITY TO WORK AND DISABILITY IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS. RESULTS FROM THE EUROPEAN MAP OF AXIAL SPONDYLOARTHRITIS (EMAS)." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 762.2–763. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2450.
Full textCARTWRIGHT, ROSALIND D. "Sleep Disorders: Diagnosis and Treatment." American Journal of Psychiatry 156, no. 3 (March 1, 1999): 493. http://dx.doi.org/10.1176/ajp.156.3.493.
Full textLiebman, Albert. "Sleep Disorders: Diagnosis and Treatment." Annals of Internal Medicine 129, no. 9 (November 1, 1998): 759. http://dx.doi.org/10.7326/0003-4819-129-9-199811010-00046.
Full textSTORES, G. "Sleep Disorders: Diagnosis and Treatment." Archives of Disease in Childhood 79, no. 4 (October 1, 1998): 380. http://dx.doi.org/10.1136/adc.79.4.380b.
Full textSHNEERSON, J. "Sleep Disorders: Diagnosis and Treatment." Journal of Neurology, Neurosurgery & Psychiatry 66, no. 1 (January 1, 1999): 123–24. http://dx.doi.org/10.1136/jnnp.66.1.123.
Full textHerman, J. H. "Sleep Disorders: Diagnosis and Treatment." Archives of Neurology 56, no. 1 (January 1, 1999): 121–22. http://dx.doi.org/10.1001/archneur.56.1.121.
Full textDissertations / Theses on the topic "Sleep disorders Diagnosis Victoria"
Wakwella, Ajith S. "Processing of snore related sounds for the diagnosis of obstructive sleep apnoea (OSA) /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18755.pdf.
Full textVirkkula, Paula. "Diagnosis of sleep-related breathing disorders esophageal pressure monitoring, nasal resistance and postural cephalometry." Helsinki : University of Helsinki, 2003. http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/virkkula/.
Full textMcCall, Louise 1965. "Can continuing medical education in general practice psychiatry aid GPs to deal with common mental disorders ? : a study of the impact on doctors and their patients." Monash University, Faculty of Education, 2001. http://arrow.monash.edu.au/hdl/1959.1/8363.
Full textMirjana, Jovančević Drvenica. "Validacija standardizovanih upitnika za procenu sindroma poremećaja disanja tokom spavanja." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=97036&source=NDLTD&language=en.
Full textSleep disordered breathing (SDB) includes a spectrum of diseases occurring due to an increased resistance in the upper airway, which affects sleeping. The major SDB subgroup is sleep apnea syndrome (SAS). SDB is present in 20% of the general population, and among the subjects with a moderate or severe SAS, 82% of males and 93% of females remain undiagnosed. Since polysomnography - the basic diagnostic method, requires a well-trained staff and adequate laboratory equipment, the need for a fast, efficient and cheap screening method in the diagnosis of SAS has breen imposed. Objectives of the study are to evaluate and translate the “STOP BANG“ questionnaire from English to Serbian, establish its specificity and sensitivity in relation to the apnea hypopnea index (AHI) values while diagnosing SAS in adults, and to assess the cumulative sensitivity and specificity of the “STOP BANG“ questionnaire and Epworth Sleepiness Scale. The investigation has been entirely carried out in the Lung Function and Sleep Medicine Centre of the Institute for Pulmonary Diseases of Vojvodina, Sremska Kamenica. The study cohort included 102 subjects who were all, having answered both questionnaires first, submitted to polysomnography. Thirty subjects were tested by the „STOP BANG“ questionnaire, and retested a month later. Results of the investigation show the male sex predominated in the study sample (69.6%). The subjects' mean age was 50.1±13.8 years. Most subjects had SDB (73.5%). The majority of ther subjects (30.4%) had a serious SDB form (AHI>30). Obstuctive disorders prevailed, registered in 66.7% of the study population. Excessive daily sleepiness, measured by the Epworth sleepiness scale, was registered in 58.8% of the examined subjects, correlating well to the disorder severity level (r=0.43). Sensitivity and specificity obtained for the „STOP BANG“ questionnaire amounted to 62.7% and 51.9% respectively. The „STOP BANG“ questionnaire was translated to Serbian first, followed by testing an retesting using the questionairre, providing no differences in the obtained answeres. The obtained cut-off value for the „STOP BANG“ questionnaire was 4.5, and the test sensitivity and apecificity for different SAS severity levels were satisfactory, amounting to 70.7%/66.7% for mild, 78.6% /60,9% for moderate, and 87.4%/50.7% for severe sleep apnea. The cumulative comparation of the two questionnaires has disclosed a better specificity of 85.2%, 76.1%, and 69.0%, but a worse sensitivity of 53.3%, 58.9%, and 71.0% for a mild, moderate and severe sleep apnea respectively in the group of subjects whose values for both questionnaires exceeded the cutoffs. In the group of subjects with one of the questionnaire values exceeding the cutoffs, a better sensitivity but a worse specificity were obtained related to only the „STOP BANG“ questionnaire. The investigation has established the screening method – the “STOP BANG“ questionnaire which (on the basis of the clinical symptoms, physical examination and present risk factors) stratifies the patients into the high risk group requiring urgent polysomnography and referral for further treatment, and to those requiring no polysomnography.
Albertini, Fatima Rosana. "Uso da telerradiografia em norma lateral como auxiliar no diagnostico dos disturbios obstrutivos respiratorios do sono em crianças com TDA/H." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/311895.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciencias Medicas
Made available in DSpace on 2018-08-12T21:24:44Z (GMT). No. of bitstreams: 1 Albertini_FatimaRosana_M.pdf: 2966137 bytes, checksum: 717621ec39fa45a6ee84a55d963bd2a5 (MD5) Previous issue date: 2009
Resumo: : Diagnóstico auxiliar dos Distúrbios Obstrutivos Respiratórios do Sono com telerradiografia em norma lateral em crianças com TDA/H. Os Distúrbios Obstrutivos Respiratórios do Sono (DORS) têm sido associados ao Transtorno de Déficit de Atenção e hiperatividade das crianças com Transtorno de Déficit de Atenção e Hiperatividade (TDAH). O objetivo deste trabalho é utilizar as tele-radiografias norma lateral como auxiliar no diagnóstico das áreas obstruídas das vias aéreas e atresias orofaciais relacionadas aos DORS em manejo interdisciplinar. Métodos: Sujeitos da pesquisa foram diagnosticados pelo Ambulatório de Neuro-Dificuldades de Aprendizagem do Hospital das Clínicas da Universidade Estadual de Campinas. Foram incluídas 23 crianças, 04 (17,39%) meninas e 19 (82,61%) meninos, de 7 à 13 anos (Média 9,65). Foram realizadas duas tomadas radiográficas em cada criança: uma em oclusão dental e outra em Repouso da Mandíbula, para medir menores espaços vazios das vias respiratórias para correlação de Pearson. Em 20 sujeitos, as tonislas faringeas apresentaram porcentagem de 30 à 54%; e nos demais, 3 de 54 à 90%. A correlação de Pearson foi -0,75 para aumento das Tonsilas Faríngeas com o vazio atrésico na nasofaringe alta, isto é, ao aumento das Tonsilas Faríngeas têm se como conseqüência uma diminuição no espaço linear entre a retrofaringe e a parte alta do palato mole, o que dificulta a passagem aérea nasal. (Pearson foi +0,47) com aumento das Tonsilas Faríngeas ocorreu leve aumento do espaço vazio linear entre retrofaringe e o dorso lingual, o qual pode colaborar com a respiração oral. Vinte e uma crianças apresentaram-se com língua de ápice baixo,assim como todo grupo apresentou hipertrofia das Tonsilas Palatinas e atresias dos maxilares, o que colabora com os DORS. Através destes resultados é possível sugerir que a telerradiografia é econômica, não invasiva e facilemtne realizada e é capaz de facilitar o diagnóstico das áreas passíveis de obstrução ligada aos DORS, mediante o manejo interdisciplinar otorrinolaringológico e odontológico quando utilizada em crianças e adolescentes com TDA/H.
Abstract: : Diagnosis of Obstructive Respiratory Sleep Disorders by Standard Lateral Teleradiography in Children with ADHD. Obstructive Respiratory Sleep Disorders (ORSD) have been associated with attention deficit and hyperactivity in children with Attention Deficit Hyperactivity Disorder (ADHD). This purpose of this work is to use standard lateral teleradiography as an auxiliary in the diagnosis of obstructed areas of the airway passages and orofacial atresias related to ORSD. Methods: The subjects of this research were diagnosed by the Neuro-difficulties Outpatient Teaching Clinic at the Clinical Hospital of Campinas State University, and were referred for inclusion and exclusion. Twenty-three 7 to 13 year-olds (mean age: 9.65) were included, 4 girls (17.39%) and 19 boys (82.61%). Two X-rays were taken of each child, one in dental occlusion and the other at mandibular rest, to measure smaller empty spaces of the airway passages for a Pearson correlation. Results: In 20 subjects, the pharyngeal tonsils showed a volume of 30 to 54%, and among the other subjects, 3 showed 54 to 90%. The Pearson correlation was -0.75 for augmented pharyngeal tonsils with the atresic void in the upper nasopharynx, i.e., the augmented pharyngeal tonsil leads to a reduction of the linear space between the retropharynx and the upper part of the soft palate, which impairs the nasal air passage. A Pearson correlation of +0.47 with augmented pharyngeal tonsils indicated a slight increase in the linear empty space between the retropharynx and the dorsal tongue, which may contribute to oral respiration. Twenty-one children presented low tongue apex and the entire group showed palatine tonsil hypertrophy and maxillary atresia, which contribute to ORSDs. These findings suggest that standard lateral teleradiography is inexpensive, noninvasive, easy to carry out, and can facilitate the diagnosis of areas subject to ORSD-related obstruction by means of interdisciplinary odontological and otorhinolaryngological management when applied to children and adolescents with ADHD.
Mestrado
Saude da Criança e do Adolescente
Mestre em Saude da Criança e do Adolescente
Hashemzadeh, Iman. "Circadian functioning and quality of life in patients with and without dual disorders." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/671652.
Full textEl sueño es una parte fundamental del desempeño diario y la supervivencia del individuo que forma parte del ritmo circadiano principal de sueño-vigilia. Cualquier alteración del sueño provoca un perjuicio para la vigilia (fatiga, somnolencia) e incluso puede derivar en diversos problemas de salud. La alteración del ritmo circadiano afecta la calidad del sueño, disminuye la calidad de vida (CV) y puede motivar el desarrollo de diversas patologías médicas, neurológicas y mentales como el trastorno depresivo mayor (TDM) y el trastorno por uso de sustancias (TUS). La relación entre el tiempo social y los ritmos endógenos es una diferencia individual denominada cronotipo que clasifica a los individuos en tipo matutino, intermedio o ningún tipo y tipo vespertino. Existen numerosos estudios que apuntan al tipo vespertino como factor de riesgo para desarrollar conductas inadaptadas, trastornos del sueño, síntomas psiquiátricos y trastornos mentales, entre los que destacan el TUS y el TDM. El uso de sustancias y los problemas de sueño son mutuos y se retroalimentan. El uso de sustancias influye en el sueño con efectos perjudiciales y la presencia de un problema de sueño puede promover el consumo de sustancias como un intento de automedicación. Aunque la evidencia disponible sobre ritmo circadiano, cronotipo y TUS en la población iraní es muy limitada, los estudios existentes indican una alta prevalencia de automedicación con el riesgo de entrar en un círculo vicioso y desarrollar tanto TUS como un problema de sueño más graves. El uso de sustancias también puede causar enfermedades mentales y viceversa. La presencia de un trastorno mental comórbido con TUS, al que nos referimos como patología dual (PD), implica más problemas clínicos (hospitalizaciones, intento de suicidio, recaídas) y sociales en comparación con la presencia de un solo trastorno. Sin embargo, hay poca investigación en esta área y menos todavía en el estudio de la afectación de la ritmicidad circadiana y la CV de los pacientes con PD. El objetivo general de este estudio fue el de investigar las características y diferencias clínicas, el funcionamiento circadiano y la CV en una muestra de 238 pacientes varones iraníes (38,14 ± 10,11 años) en tratamiento con diagnóstico de TUS (N = 81), con TUS y esquizofrenia comórbida (TUS+SZ; N = 75) y con TUS y trastorno depresivo mayor comórbido (TUS+TDM; N = 82). Otro objetivo fue crear la versión persa de la Sleep Belief Scale (SBS) y explorar sus propiedades psicométricas en la muestra de pacientes estudiados. El historial y la presencia de síntomas clínicos se evaluaron junto con el funcionamiento circadiano, mediante diversos instrumentos estandarizados [parámetros horarios para el jet-lag social (JLS), el cuestionario reducido de matutinidad-vespertinidad (rMEQ), el índice de calidad del sueño de Pittsburgh (PSQI) y la SBS]. Para la CV se utilizó la escala desarrollada por la Organización Mundial de la Salud (WHOQOL- BREF). Este estudio es la primera investigación con los diagnósticos clínicos y mediciones seleccionadas desarrollado en Irán. Según las variables sociodemográficas y clínicas, los pacientes TUS+SZ eran personas solteras mucho más jóvenes, con un mayor número de consumo de sustancias y una edad más temprana de inicio del TUS en comparación a los otros dos grupos. En el grupo SUD+TDM se observó más concomitancia de patología orgánica, una mayor cantidad de antecedentes de trastornos psiquiátricos e intentos de suicidio, así como más individuos analfabetos. Los pacientes TUS aportaron la mayor proporción de consumidores de opio y cristal, mientras que los SUD+SZ mostraron la tasa más alta de número de sustancias consumidas. Tanto el grupo SUD como el SUD+SZ tenían una mayor proporción de consumidores de heroína y de policonsumidores. En cuanto a las características del sueño, si bien no se observaron diferencias entre los grupos en el JLS, los pacientes TUS tendían a una hora más tardía de acostarse que los grupos PD tanto durante los días laborales como en los días libres (fin de semana) junto a una mayor presencia del TI. En cambio, los pacientes con TUS+TDM eran más propensos al tipo matutino y los pacientes con TUS+SZ al tipo vespertino. En la muestra total de nuestro estudio, los pacientes vespertinos fueron los que mostraron la tasa más alta de policonsumidores. El grupo TUS+TDM aportó las peores puntuaciones del PSQI, incluso después de controlar la edad y la edad de inicio del TUS, además de mostrar una mayor cantidad de prescripciones farmacológicas para dormir. En cambio, el grupo SUD+SZ fue de los tres el que mostró las peores puntuaciones en el parámetro de alteración del sueño. La edad de inicio del TUS y la gravedad del TDM mostraron una relación negativa y positiva, respectivamente, con las puntuaciones totales del PSQI. Además, dado que no encontramos ninguna interacción entre la cronotipo y los grupos con respecto a la calidad del sueño, una vez desarrollado el trastorno mental éste y su severidad parecen ser los mejores indicadores de las alteraciones del sueño, con independencia de la cronotipo del paciente. La SBS en su forma original no mostró unas propiedades psicométricas adecuadas en la muestra de pacientes, con ítems sin ponderar en ninguna dimensión y una fiabilidad interna inferior a 0,700. Se creó una versión reducida con 13 ítems, que cumple con el mínimo criterio de fiabilidad y requiere menor tiempo de respuesta. Los análisis realizados tanto con la propuesta original como con la nuestra reducida aportaron en ambos casos mejores puntuaciones de los grupos TUS y TUS+TDM en comparación con el grupo TUS+SZ. Este estudio destaca que un mayor número de uso de sustancias y la mayor gravedad de SZ o MDD se vinculan a peores puntuaciones en la SBS, tanto en la escala original como en la reducida. Teniendo en cuenta las dimensiones de SBS (original y reducida), la gravedad de SZ se relacionó negativamente con las puntuaciones de Comportamientos incompatibles con el sueño y Pensamientos y actitudes hacia el sueño, mientras que el número de consumo de sustancias se asoció negativamente con los Comportamientos incompatibles con el sueño. Además, en el grupo TUS+TDM las puntuaciones más bajas en Pensamientos y actitudes hacia el sueño se relacionaron con un mayor número de consumo de sustancias, menor edad de inicio del TUS y mayor gravedad del TDM. El grupo SUD aportó una mejor CV que los grupos con PD en todas las dimensiones, incluso tras controlar los factores de confusión. A excepción de la Salud ambiental en el grupo TUS, todas las puntuaciones de CV en los tres grupos fueron inferiores a los datos normativos de la población sana. En la muestra total, encontramos que el número de consumo de sustancias se relacionó negativamente con la puntuación general de CV. En el grupo TUS+SZ, más intentos de suicidio y más SJL se asociaron a una menos Salud física y Relación social. En cambio, en el grupo TUS+TDM, a mayor JLS y gravedad del TDM se observó peor Salud física y la menor latencia del sueño se relacionaba con más Salud psíquica. Nuestros resultados indican que los pacientes con PD en la mayoría de las características clínicas y circadianas –con énfasis en el sueño-, así como la CV sufren más problemas en comparación con los pacientes con TUS. Ello resalta la importancia de la atención a estos pacientes en los centros de tratamiento de aquellas variables que puedan ser modificadas durante el proceso terapéutico. Los estudios futuros pueden considerar nuestros resultados para la promoción del conocimiento en este ámbito, con el objetivo de comprender mejor las asociaciones entre variables y superar las limitaciones del presente trabajo con la finalidad última de diseñar tratamientos mejores y más efectivos.
Ivana, Peričin Starčević. "Neurofiziološki aspekt prvog gubitka svesti kod dece." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=101092&source=NDLTD&language=en.
Full textThe reasons for the loss of consciousness are various and difficult to be differentiated. It is of utmost importance to differentiate between epileptic and non-epileptic losses of consciousness for the purpose of testing, treating and giving prognosis related to this disorder. Electroencephalography (EEG) is a standard, non-invasive method used in testing after the loss of consciousness. The initial EEG after the first loss of consciousness can be normal, specific and non-specific. The percentage of pathological EEG findings is higher in EEG exams performed at an earlier stage. In children, an early EEG exam within 48 hours does not reveal any statistically relevant abnormalities. Spontaneous sleeping or an EEG examination after sleep deprivation leads to a significantly higher number of epileptiform changes in children above the age of 3, even in cases when the first EEG in the awake state was normal. Combinations of examinations in the awake state and during sleep lead to an increased presence of pathological changes in the EEG recording. Material and methods: The research included 198 children aged 3-12 who have experienced their first loss of consciousness. The subjects were classified into two groups, based on their discharge diagnosis: children who have not been diagnosed with epilepsy and children who have had epilepsy confirmed. A correlation was established between EEG findings in the awake state and sleep (spontaneous or following sleep deprivation) and medical history and clinical data related to the loss of consciousness, the information about the length of the loss of consciousness and recovery time, the time when the first EEG examination was performed in relation to the loss of consciousness, as well as the data from the personal and family history. The subjects were further divided into five groups, depending on their age, with each group covering a 2-year period (3-4; 5-6; 7-8; 9-10; 11-12). Results: Following the first loss of consciousness, specific (epileptiform) EEG findings were noticed in 41.97% subjects, while 58.03% of them had non-specific, i.e. regular findings in the awake state. When it comes to the findings during sleep, 73,57% were specific, while 26,43% were non-specific, i.e. regular. The subjects who had specific EEG findings in the awake state also had specific findings during sleep, while that percentage was 45,07% after sleep deprivation. The subjects who had non-specific, i.e. regular EEG findings in the awake state had specific EEG findings during sleep in 35.92% of the cases following sleep deprivation, while 1.41% of the children had specific EEG findings during spontaneous sleep. In total, the patients who were “activated”, i.e. those whose sleep deprivation contributed to specific findings (epileptiform changes) during sleep comprise 37.32% of all subjects with specific (epileptiform) changes in the EEG findings during sleep. Conclusion: In most patients suffering from the first loss of consciousness the EEG findings were non-specific, i.e. regular. The percentage of specific EEG findings (epileptiform changes) was significantly increased when the EEG examination was performed during sleep. Sleep deprivation, as an activation method, was particularly useful in patients whose initial EEG findings in the awake state were regular, i.e. non-specific. The results obtained undoubtedly confirm the efficiency of sleep deprivation as a provoking method and the increase of the percentage of interictal epileptiform EEG changes. Unprovoked first losses of consciousness were more common in the group of children who have had the diagnosis of epilepsy confirmed, while provoked losses of consciousness were more common in the group of children who have not been diagnosed with epilepsy. The age of children did not affect the process of establishing a diagnosis of epilepsy, nor did it affect the initial EEG findings in the awake state or during sleep, but it was observed that the number of specific EEG findings (epileptiform changes) following sleep deprivation increased with the increase of the age of the patients.
Books on the topic "Sleep disorders Diagnosis Victoria"
1922-, Williams Robert L., Karacan Ismet 1927-, and Moore Constance A, eds. Sleep disorders: Diagnosis and treatment. 2nd ed. New York: Wiley, 1988.
Find full textBenca, Ruth Myra. Sleep disorders: The clinician's guide to diagnosis and management. New York, N.Y: Oxford University Press, 2012.
Find full textMiddelkoop, Hubertus Anthonius Maria. Actigraphic assessment of sleep and sleep disorders: Proefschrift. [Delft, Netherlands: Eburon Publishers, 1994.
Find full textMindell, Jodi A. A clinical guide to pediatric sleep: Diagnosis and management of sleep problems. 2nd ed. Philadelphia: Lippincott Williams & Wilkins, 2009.
Find full text1945-, Shepard John W., ed. Atlas of sleep medicine. Mount Kisco, NY: Futura Pub. Co., 1991.
Find full textFundamentals of sleep technology. 2nd ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2012.
Find full textR, Bailey Dennis, ed. Dental management of sleep disorders. Ames, Iowa: Blackwell Pub., 2010.
Find full textAttanasio, Ronald. Dental management of sleep disorders. Ames, Iowa: Blackwell Pub., 2010.
Find full textAttanasio, Ronald. Dental management of sleep disorders. Ames, Iowa: Wiley-Blackwell, 2010.
Find full textCommittee, American Academy of Sleep Medicine Accreditation. Starting a sleep disorders program. Rochester, MN: American Academy of Sleep Medicine, 2002.
Find full textBook chapters on the topic "Sleep disorders Diagnosis Victoria"
Overeem, Sebastiaan, and Michel Billiard. "Diagnosis, Pathophysiology and Treatment of Hypersomnias." In Sleep and Sleep Disorders, 151–62. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-27682-3_17.
Full textUchiyama, Makoto, and Shigeru Ozaki. "Diagnosis and Treatment of Insomnia." In Sleep—Wake Disorders, 73–77. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-0245-0_8.
Full textDonskoy, Innessa, Tanvi H. Mukundan, and Stephen H. Sheldon. "Snoring and Restlessness During Sleep in Children: Unique Presentations, Diagnosis, and Management." In Sleep Disorders, 225–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65302-6_10.
Full textSheldon, Stephen H. "Algorithm for Differential Diagnosis of Sleep Disorders in Children." In Sleep Disorders in Children, 105–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28640-2_7.
Full textChristophersen, Edward R., and Susan L. Mortweet. "Diagnosis and management of sleep disorders." In Treatments that work with children: Empirically supported strategies for managing childhood problems., 99–122. Washington: American Psychological Association, 2001. http://dx.doi.org/10.1037/10405-004.
Full textSaaresranta, Tarja, Päivi Polo-Kantola, and Olli Polo. "Practical Approach for the Diagnosis and Management of Insomnia During Menopausal Transition." In Sleep Disorders in Women, 293–324. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-324-4_19.
Full textManni, Raffaele, and Michele Terzaghi. "Differential Diagnosis and Related Disorders: RBD Mimics." In Rapid-Eye-Movement Sleep Behavior Disorder, 347–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90152-7_26.
Full textPenzel, T., and J. H. Peter. "Problem-Oriented Diagnosis of Sleep Disorders Using Computerized Methods." In Sleep and Health Risk, 11–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76034-1_2.
Full textWagner, J. H., Pamela McPherson, Rebecca Pistorius, Anuj Shukla, and Swathi Parvataneni. "The Assessment of Sleep Disorders in Dually Diagnosed Individuals." In Handbook of Dual Diagnosis, 367–400. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46835-4_23.
Full textSpielman, Arthur J., and Paul B. Glovinsky. "The diagnostic interview and differential diagnosis for complaints of insomnia." In Understanding sleep: The evaluation and treatment of sleep disorders., 125–60. Washington: American Psychological Association, 1997. http://dx.doi.org/10.1037/10233-006.
Full textConference papers on the topic "Sleep disorders Diagnosis Victoria"
Ramasamy, Mouli, and Vijay K. Varadan. "Wireless nanosensor system for diagnosis of sleep disorders." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Vijay K. Varadan. SPIE, 2016. http://dx.doi.org/10.1117/12.2219621.
Full textDomingues, A., O. Adamec, T. Paiva, and J. M. Sanches. "Automatic annotation of actigraphy data for Sleep disorders diagnosis purposes." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626207.
Full textHasler, Marc, Andreas Burgdorf, Andre Pomp, Christian Kohlschein, Christina Busing, and Stephan Jonas. "A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment." In 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2019. http://dx.doi.org/10.1109/healthcom46333.2019.9009595.
Full textBuettner, Ricardo, Annika Grimmeisen, and Anne Gotschlich. "High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.396.
Full textStretch, R. J., K. Chavez, K. Christensen, J. Convis, C. H. Fung, A. M. Ryden, and M. R. Zeidler. "SleepDB: A Clinical and Administrative Database Developed to Improve the Diagnosis, Management and Longitudinal Tracking of Sleep Disorders." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1389.
Full textFernandes, Lucca Ferdinando Queiroz, Raiana Carol de Medeiros Dantas, Maria Clara Medeiros Araújo, and Lucas de Oliveira Araújo Andrade. "Non-motor clinical manifestations of Parkinson’s disease and its relevance in early diagnosis." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.100.
Full textMarin, Alicia, Jorge Abad, Miguel Cervantes, James Haigh, Carlos Martinez, Alberto Baya, Maria Luisa Martinez, and Josep Morera. "Preliminary Analysis Of The Effectiveness Of A Non-Invasive System (Sleepwise) For The Diagnosis Of Respiratory Disorders During Sleep." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a6319.
Full textVaradan, Vijay K. "Nanotechnology Based Point-of-Care Diagnostics and Therapeutics for Neurological Disorders." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13014.
Full textHatlinski, Grzegorz J., Witold Kornacki, Andrzej Kukwa, Bozena Dobrowiecka, and Marek Pikiel. "Application of digital signal processing methods for the diagnosis of respiration disorders during sleep with the use of plethysmographic wave analysis." In SPIE Proceedings, edited by Antoni Nowakowski and Bogdan B. Kosmowski. SPIE, 2004. http://dx.doi.org/10.1117/12.577618.
Full textVieira, Marcella Beghini Mendes, and Jaime Lin. "Evaluation of syndrome symptons of restless legs in patients with renal dialytic failure in a southern city of Santa Catarina." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.348.
Full textReports on the topic "Sleep disorders Diagnosis Victoria"
Sitrin, Robert G. Home-Based Diagnosis and Management of Sleep-Related Breathing Disorders in Spinal Cord Injury. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada569677.
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