scholarly journals Evaluation of Wearable Electronics for Epilepsy: A Systematic Review

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 968 ◽  
Author(s):  
Tendai Rukasha ◽  
Sandra I Woolley ◽  
Theocharis Kyriacou ◽  
Tim Collins

Epilepsy is a neurological disorder that affects 50 million people worldwide. It is characterised by seizures that can vary in presentation, from short absences to protracted convulsions. Wearable electronic devices that detect seizures have the potential to hail timely assistance for individuals, inform their treatment, and assist care and self-management. This systematic review encompasses the literature relevant to the evaluation of wearable electronics for epilepsy. Devices and performance metrics are identified, and the evaluations, both quantitative and qualitative, are presented. Twelve primary studies comprising quantitative evaluations from 510 patients and participants were collated according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Two studies (with 104 patients/participants) comprised both qualitative and quantitative evaluation components. Despite many works in the literature proposing and evaluating novel and incremental approaches to seizure detection, there is a lack of studies evaluating the devices available to consumers and researchers, and there is much scope for more complete evaluation data in quantitative studies. There is also scope for further qualitative evaluations amongst individuals, carers, and healthcare professionals regarding their use, experiences, and opinions of these devices.

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
So Yeong Jeong ◽  
Hye Rin Shim ◽  
Yunha Na ◽  
Ki Suk Kang ◽  
Yongmin Jeon ◽  
...  

AbstractWearable electronic devices are being developed because of their wide potential applications and user convenience. Among them, wearable organic light emitting diodes (OLEDs) play an important role in visualizing the data signal processed in wearable electronics to humans. In this study, textile-based OLEDs were fabricated and their practical utility was demonstrated. The textile-based OLEDs exhibited a stable operating lifetime under ambient conditions, enough mechanical durability to endure the deformation by the movement of humans, and washability for maintaining its optoelectronic properties even in water condition such as rain, sweat, or washing. In this study, the main technology used to realize this textile-based OLED was multi-functional near-room-temperature encapsulation. The outstanding impermeability of TiO2 film deposited at near-room-temperature was demonstrated. The internal residual stress in the encapsulation layer was controlled, and the device was capped by highly cross-linked hydrophobic polymer film, providing a highly impermeable, mechanically flexible, and waterproof encapsulation.


2019 ◽  
Vol 4 (3) ◽  
pp. 125-152 ◽  
Author(s):  
Enoch Agyepong ◽  
Yulia Cherdantseva ◽  
Philipp Reinecke ◽  
Pete Burnap

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4678 ◽  
Author(s):  
Masudul H. Imtiaz ◽  
Raul I. Ramos-Garcia ◽  
Shashank Wattal ◽  
Stephen Tiffany ◽  
Edward Sazonov

Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The design of effective cessation interventions requires an accurate and objective assessment of smoking frequency and smoke exposure metrics. Recently, wearable devices have emerged as a means of assessing cigarette use. However, wearable technologies have inherent limitations, and their sensor responses are often influenced by wearers’ behavior, motion and environmental factors. This paper presents a systematic review of current and forthcoming wearable technologies, with a focus on sensing elements, body placement, detection accuracy, underlying algorithms and applications. Full-texts of 86 scientific articles were reviewed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines to address three research questions oriented to cigarette smoking, in order to: (1) Investigate the behavioral and physiological manifestations of cigarette smoking targeted by wearable sensors for smoking detection; (2) explore sensor modalities employed for detecting these manifestations; (3) evaluate underlying signal processing and pattern recognition methodologies and key performance metrics. The review identified five specific smoking manifestations targeted by sensors. The results suggested that no system reached 100% accuracy in the detection or evaluation of smoking-related features. Also, the testing of these sensors was mostly limited to laboratory settings. For a realistic evaluation of accuracy metrics, wearable devices require thorough testing under free-living conditions.


2016 ◽  
Vol 52 (4) ◽  
pp. 430-442 ◽  
Author(s):  
Simone Holley ◽  
Ruth Morris ◽  
Rebecca Knibb ◽  
Sue Latter ◽  
Christina Liossi ◽  
...  

Pain Practice ◽  
2021 ◽  
Author(s):  
Francisco R. Avila ◽  
Christopher J. McLeod ◽  
Maria T. Huayllani ◽  
Daniel Boczar ◽  
Davide Giardi ◽  
...  

Author(s):  
Arshad Khan ◽  
Khalid Rahman ◽  
Shawkat Ali ◽  
Saleem Khan ◽  
Bo Wang ◽  
...  

Abstract Wearable electronic devices are evolving from current rigid configurations to flexible and ultimately stretchable structures. These emerging systems require soft circuits for connecting the various working units of the overall system. This paper presents fabrication of soft circuits by electrohydrodynamic (EHD) inkjet-printing technique. Multi-nozzle EHD printing head is employed for rapid fabrication of electric circuits on a wide set of materials, including glass substrate (rigid), flexible polyethylene terephthalate (PET) films, and stretchable thermoplastic polyurethane (TPU) films. To avoid the effects of substrate materials on the jettability, the proposed multi-nozzle head is equipped with integrated individual counter electrodes (electrodes are placed above the printing substrate). High-resolution circuits (50 ± 5 µm) with high electrical conductivity (0.6 Ω □−1) on soft substrate materials validate our well-controlled multi-nozzle EHD printing approach. The produced circuits showed excellent flexibility (bending radius ≈ 5 mm radius), high stretchability (strain ≈ 100%), and long-term mechanical stability (500 cycles at 30% strain). The concept is further demonstrated with a soft strain sensor based on a multi-nozzle EHD-printed circuit, employed for monitoring the human motion (finger bending), indicating the potential applications of these circuits in soft wearable electronic devices. Graphic Abstract


2021 ◽  
Author(s):  
Patrick McCrossan ◽  
Kathryn Ferris ◽  
Michael Shields ◽  
Dara O'Donoghue

Abstract Introduction Chronic disease in childhood is becoming more prevalent worldwide. Self-management skills can only be taught with effective communication between the health care worker and the patient or primary care provider. ‘Teach-back’ is one proposed method for providing this education which has yielded success in adult populations but is not yet fully employed in the paediatric setting. Aims To determine whether the ‘teach-back’ technique is effective and feasible at all levels of care (primary, secondary and tertiary) to improve the self-management skills and knowledge required for a young person, or their parent/guardian, to control their chronic illness. Methods We have developed a protocol for a systematic review and meta-analyses in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) statement and have registered it with Prospero [CRD42021229025].


2018 ◽  
Vol 45 ◽  
pp. 62-82 ◽  
Author(s):  
James Mckendry ◽  
Leigh Breen ◽  
Brandon J. Shad ◽  
Carolyn A. Greig

2019 ◽  
Author(s):  
Hao Sen Andrew Fang ◽  
Wan Tin Lim ◽  
Balakrishnan Tharmmambal

Abstract Background Early warning scores (EWS) have been developed as clinical prognostication tools to identify acutely deteriorating patients. With recent advancements in machine learning, there has been a proliferation of studies that describe the development and validation of novel EWS. Systematic reviews of published studies which focus on evaluating performance of both well-established and novel EWS have shown conflicting conclusions. A possible reason for this is the lack of consistency in the validation methods used. In this review, we aim to examine the methodologies and performance metrics used in studies which describe EWS validation.Methods A systematic review of all eligible studies in the MEDLINE database from inception to 22-Feb-2019 was performed. Studies were eligible if they performed validation on at least one EWS and reported associations between EWS scores and mortality, intensive care unit (ICU) transfers, or cardiac arrest (CA) of adults within the inpatient setting. Two reviewers independently did a full-text review and performed data abstraction by using standardized data-worksheet based on the TRIPOD (Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) checklist. Meta-analysis was not performed due to heterogeneity.Results The key differences in validation methodologies identified were (1) validation population characteristics, (2) outcomes of interest, (3) case definition, intended time of use and aggregation methods, and (4) handling of missing values in the validation dataset. In terms of case definition, among the 34 eligible studies, 22 used the patient episode case definition while 10 used the observation set case definition, and 2 did the validation using both case definitions. Of those that used the patient episode case definition, 11 studies used a single point of time score to validate the EWS, most of which used the first recorded observation. There were also more than 10 different performance metrics reported among the studies.Conclusions Methodologies and performance metrics used in studies performing validation on EWS were not consistent hence making it difficult to interpret and compare EWS performance. Standardizing EWS validation methodology and reporting can potentially address this issue.


2017 ◽  
Vol 5 (12) ◽  
pp. 2971-2993 ◽  
Author(s):  
Meng Gao ◽  
Lihong Li ◽  
Yanlin Song

In this review, the recent advances in inks, strategies, and the applications of inkjet-printed wearable electronics have been summarized.


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