Validation of actigraphy for sleep measurement in children with cerebral palsy

Bing, Xue; Licis, Amy; Boyd, Jill; Hoyt, Catherine R.; Ju, Yo‐El

doi:10.1016/j.sleep.2021.12.016

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…A small number of cases was considered appropriate for sampling, considering the intricate conditions of study inclusion, respectively, the small achievable population. For its definition, studies with a similar design and children with complex underlying diseases were considered, ranging from N = 9–11 children [ 28 , 31 , 32 ], so that the target number of children for this study was set at approximately N = 10.…”

Section: Methodsmentioning

confidence: 99%

“…However, in order to be able to test its validity and thus the significance of the data generated, a direct comparison with the gold standard PSG is necessary. In practice, this has, for example, already been investigated in samples of healthy children and adolescents and those with different underlying diseases such as Down Syndrome, Cerebral Palsy, Epilepsy, Autism, Angelman syndrome, or Craniopharyngeoma with heterogeneous results [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. To the best of our knowledge, what is missing to date is the comparison of actigraphy and PSG in children with various life-limiting conditions with SNI.…”

Section: Introductionmentioning

confidence: 99%

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Applicability of Actigraphy for Assessing Sleep Behaviour in Children with Palliative Care Needs Benchmarked against the Gold Standard Polysomnography

Dreier

Kutz

Roll

et al. 2022

JCM

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In children with life-limiting conditions and severe neurological impairment receiving pediatric palliative care (PPC), the degree to which actigraphy generates meaningful sleep data is uncertain. Benchmarked against the gold standard polysomnography (PSG), the applicability of actigraphy in this complex population was to be assessed. An actigraph was placed on N = 8 PPC patients during one-night polysomnography measurement in a pediatric tertiary care hospital’s sleep laboratory. Patient characteristics, sleep phase data, and respiratory abnormalities are presented descriptively. Bland-Altman plots evaluated actigraphy’s validity regarding sleep onset, sleep offset, wake after sleep onset (WASO), number of wake phases, total sleep time (TST) and sleep efficiency compared to PSG. PSG revealed that children spent most of their time in sleep stage 2 (46.6%) and most frequently showed central apnea (28.7%) and irregular hypopnea (14.5%). Bland-Altman plots showed that actigraphy and PSG gave similar findings for sleep onset, sleep offset, wake after sleep onset (WASO), total sleep time (TST) and sleep efficiency. Actigraphy slightly overestimated TST and sleep efficiency while underestimating all other parameters. Generally, the Actiwatch 2 low and medium sensitivity levels showed the best approximation to the PSG values. Actigraphy seems to be a promising method for detecting sleep problems in severely ill children.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applicability of Actigraphy for Assessing Sleep Behaviour in Children with Palliative Care Needs Benchmarked against the Gold Standard Polysomnography

Dreier

Kutz

Roll

et al. 2022

JCM

View full text Add to dashboard Cite

show abstract

“…In the discussion and appraisal of findings from actigraphy in PD patients, it should be noted that these devices and their analytical algorithms are often only validated in healthy individuals, and it is often unclear as to how their validity translates to studies in patients with movement disorders and other symptoms that impact on motor activity (Xue et al, 2022). It has been shown that actigraphy can be usefully used in PD and validated against ‘gold‐standard’ polysomnography, although it is not clear which adjustment to the scoring algorithm is optimal for accuracy and specificity and that there is a high level of inter‐patient variability comparing autographic scores to polysomnography outcomes (Maglione et al, 2013).…”

Section: Circadian Rhythms In Parkinson's Diseasementioning

confidence: 99%

Chronobiology of Parkinson's disease: Past, present and future

Asadpoordezaki

Coogan

Henley

2022

Eur J of Neuroscience

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Parkinson's disease is a neurodegenerative disorder predominately affecting midbrain dopaminergic neurons that results in a broad range of motor and non-motor symptoms. Sleep complaints are among the most common nonmotor symptoms, even in the prodromal period. Sleep alterations in Parkinson's disease patients may be associated with dysregulation of circadian rhythms, intrinsic 24-h cycles that control essential physiological functions, or

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“…Developing an ECMO decision-assistant model differs from typical supervised machine learning problems or standard treatment effect problems in healthcare. Compared with a supervised clinical problem [1,17,19,20,36,46,47,49], the entire vector of treatment effects can never be obtained, but only the factual outcomes aligned with the individualized treatment assignments. Compared with a typical treatment effect problem [25,39], it faces the challenges of strong selection bias, scarcity of treatment cases and curse of dimensionality.…”

Section: Introductionmentioning

confidence: 99%

Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation

Xue

Said

et al. 2023

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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Extracorporeal membrane oxygenation (ECMO) is an essential lifesupporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatment decision has been the subject of significant debate and it remains controversial about who benefits from this scarcely available and technically complex treatment option. To support clinical decisions, it is a critical need to predict the treatment need and the potential treatment and no-treatment responses. Targeting this clinical challenge, we propose Treatment Variational AutoEncoder (TVAE), a novel approach for individualized treatment analysis. TVAE is specifically designed to address the modeling challenges like ECMO with strong treatment selection bias and scarce treatment cases. TVAE conceptualizes the treatment decision as a multi-scale problem. We model a patient's potential treatment assignment and the factual and counterfactual outcomes as part of their intrinsic characteristics that can be represented by a deep latent variable model. The factual and counterfactual prediction errors are alleviated via a reconstruction regularization scheme together with semi-supervision, and the selection bias and the scarcity of treatment cases are mitigated by the disentangled and distribution-matched latent space and the label-balancing generative strategy. We evaluate TVAE on

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Validation of actigraphy for sleep measurement in children with cerebral palsy

Cited by 8 publications

References 34 publications

Applicability of Actigraphy for Assessing Sleep Behaviour in Children with Palliative Care Needs Benchmarked against the Gold Standard Polysomnography

Applicability of Actigraphy for Assessing Sleep Behaviour in Children with Palliative Care Needs Benchmarked against the Gold Standard Polysomnography

Chronobiology of Parkinson's disease: Past, present and future

Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation

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