Cargando…
Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera
There is higher prevalence of epilepsy and SUDEP in people with intellectual disability (PwID) compared to general population. Accurate seizure recording particularly at night can be challenging in PwID. Neuro Event Labs seizure monitoring (Nelli) uses high-quality video based artificial intelligenc...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160340/ https://www.ncbi.nlm.nih.gov/pubmed/37152695 http://dx.doi.org/10.1016/j.ebr.2023.100603 |
_version_ | 1785037255463665664 |
---|---|
author | Lennard, Sarah Newman, Rachel McLean, Brendan Jory, Caryn Cox, David Young, Charlotte Corson, Eve Shankar, Rohit |
author_facet | Lennard, Sarah Newman, Rachel McLean, Brendan Jory, Caryn Cox, David Young, Charlotte Corson, Eve Shankar, Rohit |
author_sort | Lennard, Sarah |
collection | PubMed |
description | There is higher prevalence of epilepsy and SUDEP in people with intellectual disability (PwID) compared to general population. Accurate seizure recording particularly at night can be challenging in PwID. Neuro Event Labs seizure monitoring (Nelli) uses high-quality video based artificial intelligence to detect and record possible nocturnal seizures. This study looks to evaluate the clinical utility and acceptability of Nelli in PwID and epilepsy. Family/carers of PwID and drug resistant epilepsy with suspicions of nocturnal seizures who had not tolerated routine or ambulatory EEGs were invited to evaluate Nelli. Relevant demographics and clinical characteristics were collected. Nelli’s impact, it’s facilitators, barriers and feedback quality was captured from patient and professional stakeholders. Quantitative and thematic analysis was undertaken. Fifteen PwID and epilepsy and four health professionals were involved. Nelli recorded 707 possible seizure events across the study cohort of which 247 were not heard or recognised by carers. Carers recorded 165 episodes of ‘restless’ or “seizure behaviour” which the Nelli did not deem to be seizures. There was 93% acceptability. Thematic analysis revealed three broad themes of device acceptability, result implementation and possible seizure recognition ability. Nelli allowed for improved communication and care planning in a hitherto difficult to investigate population. |
format | Online Article Text |
id | pubmed-10160340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101603402023-05-06 Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera Lennard, Sarah Newman, Rachel McLean, Brendan Jory, Caryn Cox, David Young, Charlotte Corson, Eve Shankar, Rohit Epilepsy Behav Rep Article There is higher prevalence of epilepsy and SUDEP in people with intellectual disability (PwID) compared to general population. Accurate seizure recording particularly at night can be challenging in PwID. Neuro Event Labs seizure monitoring (Nelli) uses high-quality video based artificial intelligence to detect and record possible nocturnal seizures. This study looks to evaluate the clinical utility and acceptability of Nelli in PwID and epilepsy. Family/carers of PwID and drug resistant epilepsy with suspicions of nocturnal seizures who had not tolerated routine or ambulatory EEGs were invited to evaluate Nelli. Relevant demographics and clinical characteristics were collected. Nelli’s impact, it’s facilitators, barriers and feedback quality was captured from patient and professional stakeholders. Quantitative and thematic analysis was undertaken. Fifteen PwID and epilepsy and four health professionals were involved. Nelli recorded 707 possible seizure events across the study cohort of which 247 were not heard or recognised by carers. Carers recorded 165 episodes of ‘restless’ or “seizure behaviour” which the Nelli did not deem to be seizures. There was 93% acceptability. Thematic analysis revealed three broad themes of device acceptability, result implementation and possible seizure recognition ability. Nelli allowed for improved communication and care planning in a hitherto difficult to investigate population. Elsevier 2023-04-23 /pmc/articles/PMC10160340/ /pubmed/37152695 http://dx.doi.org/10.1016/j.ebr.2023.100603 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lennard, Sarah Newman, Rachel McLean, Brendan Jory, Caryn Cox, David Young, Charlotte Corson, Eve Shankar, Rohit Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title | Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title_full | Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title_fullStr | Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title_full_unstemmed | Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title_short | Improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
title_sort | improving nocturnal event monitoring in people with intellectual disability in community using an artificial intelligence camera |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160340/ https://www.ncbi.nlm.nih.gov/pubmed/37152695 http://dx.doi.org/10.1016/j.ebr.2023.100603 |
work_keys_str_mv | AT lennardsarah improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT newmanrachel improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT mcleanbrendan improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT jorycaryn improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT coxdavid improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT youngcharlotte improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT corsoneve improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera AT shankarrohit improvingnocturnaleventmonitoringinpeoplewithintellectualdisabilityincommunityusinganartificialintelligencecamera |