TY - JOUR
T1 - Non‐Invasive Mobile EEG as a tool for seizure monitoring and management
T2 - a systematic review
AU - Biondi, Andrea
AU - Santoro, Viviana
AU - Ruas Faro Viana, Pedro
AU - Laiou, Petroula
AU - Pal, Deb
AU - Bruno, Elisa
AU - Richardson, Mark
N1 - Funding Information:
AB is supported by Epilepsy Research UK. MPR and PFV are supported by the Epilepsy Foundation of America's Epilepsy Innovation Institute My Seizure Gauge Project. MR, DKP and PL are supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at the South London and Maudsley Hospital. MR and DKP are also supported by the Medical Research Council (MRC) Centre for Neurodevelopmental Disorders. DKP is also supported by a Waterloo Foundation Project Grants and the Charles Sykes Epilepsy Research Trust. EB and PL are funded by the RADAR‐CNS project ( http://www.radar‐cns.org/ ). RADAR‐CNS has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 115902. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA: www.imi.europa.eu . The funding bodies have not been involved in the design of the review or interpretation of data. The views expressed in this review are those of the authors and not necessarily those of the NHS, the NIHR, or any of the departments. None of the authors has any conflict of interest to disclose. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
Publisher Copyright:
© 2022 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.
PY - 2022/5
Y1 - 2022/5
N2 - In the last two decades new noninvasive mobile electroencephalography (EEG) solutions have been developed to overcome limitations of conventional clinical EEG and to improve monitoring of patients with long-term conditions. Despite the availability of mobile innovations, their adoption is still very limited. The aim of this study is to review the current state-of-the-art and highlight the main advantages of adopting noninvasive mobile EEG solutions in clinical trials and research studies of people with epilepsy or suspected seizures. Device characteristics are described, and their evaluation is presented. Two authors independently performed a literature review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A combination of different digital libraries was used (Embase, MEDLINE, Global Health, PsycINFO and https://clinicaltrials.gov/). Twenty-three full-text, six conference abstracts, and eight webpages were included, where a total of 14 noninvasive mobile solutions were identified. Published studies demonstrated at different levels how EEG recorded via mobile EEG can be used for visual detection of EEG abnormalities and for the application of automatic-detection algorithms with acceptable specificity and sensitivity. When the quality of the signal was compared with scalp EEG, many similarities were found in the background activities and power spectrum. Several studies indicated that the experience of patients and health care providers using mobile EEG was positive in different settings. Ongoing trials are focused mostly on improving seizure-detection accuracy and also on testing and assessing feasibility and acceptability of noninvasive devices in the hospital and at home. This review supports the potential clinical value of noninvasive mobile EEG systems and their advantages in terms of time, technical support, cost, usability, and reliability when applied to seizure detection and management. On the other hand, the limitations of the studies confirmed that future research is needed to provide more evidence regarding feasibility and acceptability in different settings, as well as the data quality and detection accuracy of new noninvasive mobile EEG solutions.
AB - In the last two decades new noninvasive mobile electroencephalography (EEG) solutions have been developed to overcome limitations of conventional clinical EEG and to improve monitoring of patients with long-term conditions. Despite the availability of mobile innovations, their adoption is still very limited. The aim of this study is to review the current state-of-the-art and highlight the main advantages of adopting noninvasive mobile EEG solutions in clinical trials and research studies of people with epilepsy or suspected seizures. Device characteristics are described, and their evaluation is presented. Two authors independently performed a literature review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A combination of different digital libraries was used (Embase, MEDLINE, Global Health, PsycINFO and https://clinicaltrials.gov/). Twenty-three full-text, six conference abstracts, and eight webpages were included, where a total of 14 noninvasive mobile solutions were identified. Published studies demonstrated at different levels how EEG recorded via mobile EEG can be used for visual detection of EEG abnormalities and for the application of automatic-detection algorithms with acceptable specificity and sensitivity. When the quality of the signal was compared with scalp EEG, many similarities were found in the background activities and power spectrum. Several studies indicated that the experience of patients and health care providers using mobile EEG was positive in different settings. Ongoing trials are focused mostly on improving seizure-detection accuracy and also on testing and assessing feasibility and acceptability of noninvasive devices in the hospital and at home. This review supports the potential clinical value of noninvasive mobile EEG systems and their advantages in terms of time, technical support, cost, usability, and reliability when applied to seizure detection and management. On the other hand, the limitations of the studies confirmed that future research is needed to provide more evidence regarding feasibility and acceptability in different settings, as well as the data quality and detection accuracy of new noninvasive mobile EEG solutions.
KW - EEG
KW - wearable
KW - mobile
KW - review
KW - seizure
UR - http://www.scopus.com/inward/record.url?scp=85127229956&partnerID=8YFLogxK
U2 - https://doi.org/10.1111/epi.17220
DO - https://doi.org/10.1111/epi.17220
M3 - Article
SN - 0013-9580
VL - 63
SP - 1041
EP - 1063
JO - Epilepsia
JF - Epilepsia
IS - 5
ER -