The future of sleep health: a data-driven revolution in sleep science and medicine
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
Design of hydrogel-based wearable EEG electrodes for medical applications
The electroencephalogram (EEG) is considered to be a promising method for studying brain
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging
Automatic sleep staging has been often treated as a simple classification problem that aims
at determining the label of individual target polysomnography epochs one at a time. In this …
at determining the label of individual target polysomnography epochs one at a time. In this …
Towards more accurate automatic sleep staging via deep transfer learning
Background: Despite recent significant progress in the development of automatic sleep
staging methods, building a good model still remains a big challenge for sleep studies with a …
staging methods, building a good model still remains a big challenge for sleep studies with a …
[HTML][HTML] Clinical applications of mobile health wearable–based sleep monitoring: systematic review
E Guillodo, C Lemey, M Simonnet… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background Sleep disorders are a major public health issue. Nearly 1 in 2 people
experience sleep disturbances during their lifetime, with a potential harmful impact on well …
experience sleep disturbances during their lifetime, with a potential harmful impact on well …
Hearables: Multimodal physiological in-ear sensing
V Goverdovsky, W Von Rosenberg, T Nakamura… - Scientific reports, 2017 - nature.com
Future health systems require the means to assess and track the neural and physiological
function of a user over long periods of time, and in the community. Human body responses …
function of a user over long periods of time, and in the community. Human body responses …
Hearables: automatic overnight sleep monitoring with standardized in-ear EEG sensor
T Nakamura, YD Alqurashi, MJ Morrell… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Objective: Advances in sensor miniaturization and computational power have served as
enabling technologies for monitoring human physiological conditions in real-world …
enabling technologies for monitoring human physiological conditions in real-world …
From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
The future of wearable EEG: A review of ear-EEG technology and its applications
The future of wearable EEG: A review of ear-EEG technology and its applications Page 1 Journal
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …
Advances in electrode materials for scalp, forehead, and ear EEG: a mini-review
G Petrossian, P Kateb, F Miquet-Westphal… - ACS Applied Bio …, 2023 - ACS Publications
Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …