1,681 results match your criteria: "PSG Institute of Medical Science & Research[Affiliation]"

Comparison of automated deep neural network against manual sleep stage scoring in clinical data.

Comput Biol Med

September 2024

Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China. Electronic address:

Objective: To compare the accuracy and generalizability of an automated deep neural network and the Philip Sleepware G3™ Somnolyzer system (Somnolyzer) for sleep stage scoring using American Academy of Sleep Medicine (AASM) guidelines.

Methods: Sleep recordings from 104 participants were analyzed by a convolutional neural network (CNN), the Somnolyzer and skillful technicians. Evaluation metrics were derived for different combinations of sleep stages.

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Study Objectives: To develop a non-invasive and practical wearable method for long-term tracking of infants' sleep.

Methods: An infant wearable, NAPping PAnts (NAPPA), was constructed by combining a diaper cover and a movement sensor (triaxial accelerometer and gyroscope), allowing either real-time data streaming to mobile devices or offline feature computation stored in the sensor memory. A sleep state classifier (wake, N1/REM, N2/N3) was trained and tested for NAPPA recordings ( = 16649 epochs of 30 s), using hypnograms from co-registered polysomnography (PSG) as a training target in 33 infants (age 2 weeks to 18 months; Mean = 4).

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Novel Sleep Phenotypic Profiles Associated With Incident Atrial Fibrillation in a Large Clinical Cohort.

JACC Clin Electrophysiol

September 2024

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA. Electronic address:

Article Synopsis
  • The study investigates how different sleep-related symptoms and patterns (phenotypes) relate to the risk of developing atrial fibrillation (AF) over time.
  • Researchers analyzed data from over 43,000 patients who underwent sleep studies, identifying five distinct sleep phenotypes and assessing their impact on AF incidence.
  • Results showed that specific phenotypes, particularly the hypoxia and apneas + arousals subtypes, significantly increased the risk of developing AF, highlighting the importance of sleep disorders in heart health.
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Background: Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.

Methods: Older women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES).

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Article Synopsis
  • The study aimed to explore clinical and imaging factors linked to sleep-disordered breathing (SDB) in children with Chiari type I malformation and assess the effectiveness of foramen magnum decompression (FMD) in treating SDB.
  • A review of charts from children diagnosed with Chiari from 2002 to 2022 revealed a significant prevalence of SDB, with notable associations found for factors like lower cranial nerve dysfunction and tonsillar position.
  • Post-FMD, children with SDB exhibited a substantial decrease in apnea-hypopnea index scores, and 35% of those treated achieved complete resolution of their SDB.
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Supraglottic masses can be an anaesthesiologist's nightmare due to the difficult airway scenario and bleeding risk during airway manipulation. Awake fibreoptic intubation is the primary method to secure the airway in such cases. However, most practising anaesthesiologists are not experts at handling the fibreoptic scope, especially in cases with a floppy supraglottic mass where it becomes difficult to displace the mask with the thin flexible bronchoscope.

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Both sleep alterations and epileptiform activity are associated with the accumulation of amyloid-β and tau pathology and are currently investigated for potential therapeutic interventions in Alzheimer's disease (AD). However, a bidirectional intertwining relation between sleep and neuronal hyperexcitability might modulate the effects of AD pathology on the corresponding associations. To investigate this, we performed multiple day simultaneous foramen ovale (FO) plus scalp EEG and polysomnography (PSG) recordings and acquired 18F-MK6240 tau PET-MR in three patients in the prodromal stage of AD and in two patients with mild and moderate dementia due to AD, respectively.

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Article Synopsis
  • - This text is a correction notice for a previously published article, identified by the DOI: 10.1039/D3NA01026K.
  • - The correction is likely to address errors or inaccuracies found in the original publication.
  • - Readers are encouraged to refer to the corrected version for accurate information and findings.
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Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach.

Front Aging Neurosci

June 2024

Unitat Trastorns Cognitius, Clinical Neuroscience Research, Institut de Recerca Biomedica de Lleida (IRBLleida), Hospital Universitari Santa Maria, Lleida, Spain.

Article Synopsis
  • Alzheimer's disease (AD) is a neurodegenerative disorder that currently relies on invasive CSF biomarkers for diagnosis, which makes screening challenging; recent studies propose using quantitative sleep EEG features and machine learning for a non-invasive alternative.* ! -
  • The study involved mild-moderate AD patients who underwent polysomnography (PSG) and biomarker testing, analyzing PSG signals using various machine learning algorithms with different combinations of clinical and PSG-derived features to predict CSF biomarkers.* ! -
  • Results showed that Gradient Boosting Regressors were most effective for estimating biomarker levels, employing specific loss functions tailored to each biomarker type, indicating a promising direction for non-invasive AD detection methods.* !
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Article Synopsis
  • - Patients with Down syndrome (DS) in Qatar face a high risk of sleep disorder breathing (SDB), with a study revealing 81% prevalence of obstructive sleep apnea (OSA) among those analyzed.
  • - The study reviewed data from 80 genetically confirmed DS patients, showing a range of SDB severity: 38.5% had mild OSA, 23.1% moderate, and another 38.5% severe, while only one patient had central apnea.
  • - Methodology involved retrospective analysis of polysomnography results from a specialized pediatric sleep center, focusing on assessing apnea-hypopnea index (AHI) and hypoventilation among patients.
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Background: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals.

Objective: In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images.

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A letter to the editor: Concerning the conclusions drawn in the article entitled "ketamine and electroconvulsive therapy for severe depression: A network meta-analysis of efficacy and safety".

J Psychiatr Res

September 2024

Scientific Research WorkS Peer Support Group (SRWS-PSG), Osaka, Japan; Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Sakyo-ku, Kyoto, 606-8226, Japan; Department of Community Medicine in the Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto, 606-8501, Japan; Department of Healthcare Epidemiology, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.

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Objective: This study aims to examine the frequency of Paratyphi found in blood cultures and evaluate the antibiotic susceptibility pattern of isolates to different antibiotics. Additionally, the study aims to assess the paradigm shift in the trend of enteric fever caused by Typhi (. Typhi) to Paratyphi(.

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Due to their distinctive security characteristics, all-solid-state batteries are seen as a potential technology for the upcoming era of energy storage. The flexibility of nanomaterials shows enormous potential for the advancement of all-solid-state batteries' exceptional power and energy storage capacities. These batteries might be applied in many areas such as large-scale energy storage for power grids, as well as in the creation of foldable and flexible electronics, and portable gadgets.

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Introduction: Identifying intervention methods that target sleep characteristics involved in memory processing is a priority for the field of cognitive aging. Older adults with greater sleep efficiency and non-rapid eye movement slow-wave activity (SWA) (0.5-4 Hz electroencephalographic activity) tend to exhibit better memory and cognitive abilities.

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Urticaria, independent of or associated with allergies, is commonly seen in horses and often shows a high reoccurrence rate. Managing these horses is discouraging, and efficient treatment options are lacking. Due to an incidental finding in a study on horses affected by insect bite hypersensitivity using the eosinophil-targeting eIL-5-CuMV-TT vaccine, we observed the prevention of reoccurring seasonal urticaria in four subsequent years with re-vaccination.

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Introduction: Children born prematurely (<37 weeks' gestation) are at increased risk of perinatal complications, comorbidities, and iron deficiency. Iron deficiency is associated with restless legs syndrome and periodic limb movement disorder. In this study, we assessed the prevalence of restless sleep disorder (RSD) and elevated periodic limb movements during sleep (PLMS) in children born prematurely who underwent polysomnography.

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Background: The understanding that mental health recovery is a personal and subjective experience informs mental health policies in many countries. However, most of the populations in these studies are from the West, limiting their applicability in Asia. Peer support in mental health refers to helping and mentoring people who have overcome similar obstacles.

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Paediatric sleep diagnostics is performed using complex multichannel tests in specialised centres, limiting access and availability and resulting in delayed diagnosis and management. Such investigations are often challenging due to patient size (prematurity), tolerability, and compliance with "gold standard" equipment. Children with sensory/behavioural issues, at increased risk of sleep disordered breathing (SDB), often find standard diagnostic equipment difficult.

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Article Synopsis
  • Steroids play a key role in treating acute lymphoblastic leukaemia (ALL) in young patients, but can lead to serious neuropsychiatric symptoms (SRNS).
  • A study examined 1813 patients from 2000 to 2017, finding that 5.2% experienced significant SRNS, mainly during the early and intensification phases of treatment, with dexamethasone linked to 86% of cases.
  • The most common SRNS symptoms were psychosis, agitation, and aggression, and 87% of those affected received pharmacological treatment, highlighting the need for more awareness and research on managing SRNS in ALL therapy.
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Patterns and determinants of health care utilization among people with Parkinson's disease: A population-based analysis in Ontario, Canada.

PLoS One

June 2024

Parkinson Disease and Movement Disorder Clinic, Department of Medicine, Division of Neurology, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.

In Ontario, despite the increasing prevalence of Parkinson's disease (PD), barriers to access-to-care for people with Parkinson's disease (PwP) and their caregivers are not well understood. The objective of this study is to examine spatial patterns of health care utilization among PwP and identify factors associated with PD-related health care utilization of individuals in Ontario. We employed a retrospective, population-based study design involving administrative health data to identify PwP as of March 31, 2018 (N = 35,482) using a previously validated case definition.

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Introduction: The study aims to examine the disparities in mortality rates attributed to brain cancer between urban and rural areas over a 22-year period, totaling 315,538 deaths. This investigation serves as a crucial step in identifying areas within healthcare that require improvement. By pinpointing the variations in mortality rates between urban and rural settings, healthcare authorities can strategically implement necessary interventions.

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OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics.

Comput Biol Med

August 2024

Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA. Electronic address:

Sleep apnea is a common sleep disorder. The availability of an easy-to-use sleep apnea predictor would provide a public health benefit by promoting early diagnosis and treatment. Our goal was to develop a prediction tool that used commonly available variables and was accessible to the public through a web site.

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Children's injuries in legislated types child-care institutions.

Pediatr Int

June 2024

Department of Health Informatics, School of Public Health & Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Background: Severe injuries in child-care institutions are an important social issue. However, no reports on this matter have been made in Japan. This study examined trends in severe injuries at child-care institutions, including the impact of the coronavirus disease 2019 (COVID-19) pandemic.

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