[PDF][PDF] Recent advances in wearable sensors and portable electronics for sleep monitoring

S Kwon, H Kim, WH Yeo - Iscience, 2021 - cell.com
Despite the increasing awareness of the importance of sleep, the number of people suffering
from insufficient sleep has increased every year. The gold-standard sleep assessment uses …

Recent advances in wearable optical sensor automation powered by battery versus skin-like battery-free devices for personal healthcare—A review

NL Kazanskiy, MA Butt, SN Khonina - Nanomaterials, 2022 - mdpi.com
Currently, old-style personal Medicare techniques rely mostly on traditional methods, such
as cumbersome tools and complicated processes, which can be time consuming and …

At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea

S Kwon, HS Kim, K Kwon, H Kim, YS Kim, SH Lee… - Science …, 2023 - science.org
Although many people suffer from sleep disorders, most are undiagnosed, leading to
impairments in health. The existing polysomnography method is not easily accessible; it's …

A comprehensive review on the prospects of next-generation wearable electronics for individualized health monitoring, assistive robotics, and communication

AS Farooq, P Zhang - Sensors and Actuators A: Physical, 2022 - Elsevier
Wearable electronics offer a robust and emerging framework for invasive and on-skin
electronics that are expected to be long-lasting, lightweight, flexible, and conformable …

Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American …

I Gurubhagavatula, LK Barger, CM Barnes, M Basner… - Sleep, 2021 - academic.oup.com
Risks associated with fatigue that accumulates during work shifts have historically been
managed through working time arrangements that specify fixed maximum durations of work …

[HTML][HTML] Emerging artificial intelligence–empowered mhealth: scoping review

P Bhatt, J Liu, Y Gong, J Wang, Y Guo - JMIR mHealth and uHealth, 2022 - mhealth.jmir.org
Background Artificial intelligence (AI) has revolutionized health care delivery in recent years.
There is an increase in research for advanced AI techniques, such as deep learning, to build …

[HTML][HTML] Digital phenotyping of mental health using multimodal sensing of multiple situations of interest: A systematic literature review

I Moura, A Teles, D Viana, J Marques… - Journal of Biomedical …, 2023 - Elsevier
Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

[HTML][HTML] The apple watch for monitoring mental health–related physiological symptoms: Literature review

GY Lui, D Loughnane, C Polley, T Jayarathna… - JMIR Mental …, 2022 - mental.jmir.org
Background: An anticipated surge in mental health service demand related to COVID-19 has
motivated the use of novel methods of care to meet demand, given workforce limitations …

[HTML][HTML] The effectiveness of combining nonmobile interventions with the use of smartphone apps with various features for weight loss: systematic review and meta …

J Antoun, H Itani, N Alarab… - JMIR mHealth and …, 2022 - mhealth.jmir.org
Background: The effectiveness of smartphone apps for weight loss is limited by the diversity
of interventions that accompany such apps. This research extends the scope of previous …

Wearable devices: current status and opportunities in pain assessment and management

A Leroux, R Rzasa-Lynn, C Crainiceanu, T Sharma - Digital Biomarkers, 2021 - karger.com
Introduction: We investigated the possibilities and opportunities for using wearable devices
that measure physical activity and physiometric signals in conjunction with ecological …