The Sleep Revolution project: the concept and objectives

Arnardóttir, Erna Sif; Íslind, Anna Sigríður; Óskarsdóttir, María; Olafsdottir, Katrin; August, Elias; Jónasdóttir, Lára; Hrubos‐Strøm, Harald; Saavedra, José M.; Grote, Ludger; Hedner, Jan; Höskuldsson, Sveinbjörn; Agustsson, J. S.; Jóhannsdóttir, Kamilla Rún; McNicholas, Walter T.; Pevernagie, Dirk; Sund, Reijo; Töyräs, Juha; Leppänen, Timo

doi:10.1111/jsr.13630

Cited by 27 publications

(29 citation statements)

References 44 publications

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“…The software can be used with also other versions of the sleep recording software but as this has not been tested, the compatibility may vary. The SSRE software was developed for use in the Sleep Revolution project (EU Horizon 2020 5 ). During the project, the software was extensively tested by exporting thousands of sleep recordings from several partner sites.…”

Section: Methodsmentioning

confidence: 99%

“…In addition to internal testing, the SSRE software has already been deployed in the Sleep Revolution project 5 to aid in exporting and anonymizing over 10 000 sleep recordings from 12 different sleep centers across Europe. Depending on used the hardware and the type of the recording, the data export process for a single subject typically takes around 3–10 min.…”

Section: Impactmentioning

confidence: 99%

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STAR sleep recording export software for automatic export and anonymization of sleep studies

Nikkonen

Korkalainen

Töyräs

et al. 2022

Sci Rep

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Sleep research often relies on large retrospective clinical datasets. However, as the data is usually stored in proprietary formats specific for each sleep software, the raw data cannot be easily accessed and analyzed with external tools. While the raw data can usually be exported to more common data formats, this is often a cumbersome and labor-intensive task as it is not required for clinical purposes. Additionally, the recordings often include sensitive patient information which must be removed before the data can be shared or analyzed externally. This anonymization can be difficult to perform manually without the correct tools or knowledge of the file types and how they internally store the data. The STAR sleep recording export software provides a simple tool that can be used to perform the sleep study exports automatically. This allows the user to easily export a batch of sleep studies with minimal effort. In addition, the software can also be used to automatically anonymize the exported sleep recordings allowing researchers to save time and personnel resources as these do not need to be allocated for exporting and anonymizing sleep studies. The software supports Noxturnal, RemLogic, Profusion PSG and Sleepware G3 and it is free and openly available for anyone to download and use.

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Section: Methodsmentioning

confidence: 99%

Section: Impactmentioning

confidence: 99%

STAR sleep recording export software for automatic export and anonymization of sleep studies

Nikkonen

Korkalainen

Töyräs

et al. 2022

Sci Rep

Self Cite

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“…Sleep is defined as a reversible suspension of the individual's sensory-motor interaction with the external environment. Pediatric sleep disorders create an interruption of the normal night sleep process and they are divided into the following categories: insomnia, sleep breathing disorders, hypersomnolence (narcolepsy), circadian sleep-wake rhythm disorders, para-somnias (pavor nocturnus, enuresis and somniloquio) and sleep-related movement disorders (75).…”

Section: Polysomnography and Pediatric Sleep Disordersmentioning

confidence: 99%

“…Among nocturnal breathing disorders, obstructive sleep apnea syndrome (OSA) is certainly the most frequent. OSA is a disease characterized by prolonged episodes of partial obstruction and / or complete intermittent obstruction (hypopnea or apnea, respectively) of the upper airways (75)(76)(77).…”

Section: Polysomnography and Pediatric Sleep Disordersmentioning

confidence: 99%

New trends in pediatric pulmonology: our experience

Parisi¹,

Papale²,

Manti³

et al. 2023

Pediatr Respir J

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Until a few years ago, pediatric pulmonology was one of the most static branches of pediatrics. In recent years, the description of new pathological entities affecting the lung and airways, the identification of new disease biomarkers, the use of new respiratory function tests suitable not only for collaborating but also for non-collaborating children, the enhancement of respiratory endoscopy, the advent of new therapies such as biological drugs and genetic modulators have made pediatric pulmonology one of the most dynamic branches of pediatric medicine.The objective of this article will be to explore the new fields of pediatric pulmonology by making a parallelism with the evolutions that our center had to follow in order to adapt to the new healthcare and research standards. These same standards of care are needed by patients, their families, and need to be known by primary care pediatricians. In addition, health policy must take into account these upgrades in pediatric pulmonology to provide the best quality of care to all patients and uniformly throughout the country. CF is the most common life-shortening autosomal recessive hereditary disease in Caucasians with a prevalence of 1 case per 2500 live births. CF is a multisystem disease caused by mutations in the cystic fibrosis trans-membrane conductance regulator (CFTR) gene (11, 12). The lung is the primary site of CF, to which most of the CF-associated patient morbidity and mortality is linked. CF occurs very early in infancy and is defined by the presence of infections and chronic inflammation leading to a deterioration in lung function, respiratory exacerbations, and bronchiectasis (13,14). Thus, identifying a biomarker for disease progression might be crucial for improving these patients' outcomes. Moreover, with therapeutic introduction of potentiators and correctors of the CFTR protein, the study of biomarkers could be a valuable tool for monitoring their effectiveness over time (15). Globally, therefore, the study of biomarkers could have a strategic role in CF management and also in asthma. FRACTIONAL-EXHALED NITRIC OXIDE (FeNO)asthma treatment. Finally, CaNO is the least used in clinical practice because lack of standardization of measurement techniques. VOLATILE ORGANIC COMPOUNDS (VOCs) AND EXHALED BREATH CONDENSATE (EBC)

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“…A major achievement for sleep medicine and research was the award in 2020 of a grant of EUR 15 million by the EU Horizon Programme for a European multicentre study of new approaches to the evaluation of patients suspected of SDB. The project, "Sleep Revolution", aims to develop machine learning tools to better estimate OSA severity and provide personalised treatment options including patient participation [14]. These tools will be implemented in high-end wearables to alleviate the costs and increase the availability of polysomnography.…”

confidence: 99%