Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities

S Baker, W Xiang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare

Y Zhu, J Li, J Kim, S Li, Y Zhao, J Bahari, P Eliahoo… - Biomaterials, 2023 - Elsevier
Skin-interfaced electronics (skintronics) have received considerable attention due to their
thinness, skin-like mechanical softness, excellent conformability, and multifunctional …

[HTML][HTML] Data quality evaluation in wearable monitoring

S Böttcher, S Vieluf, E Bruno, B Joseph, N Epitashvili… - Scientific reports, 2022 - nature.com
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …

[HTML][HTML] Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning

M Nasseri, T Pal Attia, B Joseph, NM Gregg… - Scientific reports, 2021 - nature.com
The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …

[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: a systematic literature review

G Vos, K Trinh, Z Sarnyai, MR Azghadi - International Journal of Medical …, 2023 - Elsevier
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …

Automated seizure detection with noninvasive wearable devices: a systematic review and meta‐analysis

V Naganur, S Sivathamboo, Z Chen, S Kusmakar… - …, 2022 - Wiley Online Library
Objective This study was undertaken to review the reported performance of noninvasive
wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures …

[HTML][HTML] Smart consumer wearables as digital diagnostic tools: a review

S Chakrabarti, N Biswas, LD Jones, S Kesari, S Ashili - Diagnostics, 2022 - mdpi.com
The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …

[HTML][HTML] Prospective study of a multimodal convulsive seizure detection wearable system on pediatric and adult patients in the epilepsy monitoring unit

F Onorati, G Regalia, C Caborni… - Frontiers in …, 2021 - frontiersin.org
Background: Using machine learning to combine wrist accelerometer (ACM) and
electrodermal activity (EDA) has been shown effective to detect primarily and secondarily …

Seizure forecasting: bifurcations in the long and winding road

MO Baud, T Proix, NM Gregg, BH Brinkmann… - …, 2023 - Wiley Online Library
To date, the unpredictability of seizures remains a source of suffering for people with
epilepsy, motivating decades of research into methods to forecast seizures. Originally, only …

In‐hospital and home‐based long‐term monitoring of focal epilepsy with a wearable electroencephalographic device: Diagnostic yield and user experience

J Macea, M Bhagubai, V Broux, M De Vos… - …, 2023 - Wiley Online Library
Objective The aim is to report the performance of an electroencephalogram (EEG) seizure‐
detector algorithm on data obtained with a wearable device (WD) in patients with focal …