Results 61 to 70 of about 9,698 (215)

TOBE: Tangible Out-of-Body Experience [PDF]

, 2015
We propose a toolkit for creating Tangible Out-of-Body Experiences: exposing the inner states of users using physiological signals such as heart rate or brain activity. Tobe can take the form of a tangible avatar displaying live physiological readings to
Frey, Jérémy, Gay, Alexis, Gervais, Renaud, Hachet, Martin, Lotte, Fabien   +4 more
core   +6 more sources

Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning

Journal of Sleep Research, EarlyView.
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Juan Antonio Ortega, Ralf Seepold   +4 more
wiley   +1 more source

A Novel Long-term, Multi-Channel and Non-invasive Electrophysiology Platform for Zebrafish. [PDF]

, 2016
Zebrafish are a popular vertebrate model for human neurological disorders and drug discovery. Although fecundity, breeding convenience, genetic homology and optical transparency have been key advantages, laborious and invasive procedures are required for
Baraban, Scott C, Hong, SoonGweon, Lee, Luke P, Lee, Philip   +3 more
core   +1 more source

Electromyography Frequency Spectrum Is a Better Indicator of Sleep Bruxism Severity Related to Temporomandibular Disorder Pain Than Conventional Masticatory Muscle Activation and Bruxism Time Indices—A Pilot Study

Journal of Sleep Research, EarlyView.
ABSTRACT Sleep bruxism (SB) has been reportedly associated with temporomandibular disorder (TMD); however, solid evidence is lacking. Previous studies have primarily used traditional metrics, such as the masticatory muscle activity (MMA) index and bruxism time index (BTI) to investigate the link between SB and TMD.
Minna Pitkänen, Miro Rytkönen, Tomi Miettinen, Jari Ahlberg, Frank Lobbezoo, Katja Myllymaa, Juha Töyräs, Timo Leppänen, Sami Myllymaa   +8 more
wiley   +1 more source

Are there sleep-specific phenotypes in patients with chronic fatigue syndrome? A cross-sectional polysomnography analysis [PDF]

, 2013
Objectives: Despite sleep disturbances being a central complaint in patients with chronic fatigue syndrome (CFS), evidence of objective sleep abnormalities from over 30 studies is inconsistent.
Deary, Vincent, Ellis, Jason, Gotts, Zoe, Newton, Julia   +3 more
core   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, Volume 13, Issue 19, 2 April 2026.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

Dysmetric Eye Movements in Tourette Syndrome

Pediatric Neurology Briefs, 1997
A 13-year-old boy with an 11 year history of Tourette syndrome and progressively worsening tics, both motor and vocal, was referred to the Department of Ophthalmology, Great Ormond Street Hospital, London, because of visual symptoms and reading problems.
J Gordon Millichap
doaj   +1 more source

Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms [PDF]

, 2018
We have developed an automatic sleep stage classification algorithm based on deep residual neural networks and raw polysomnogram signals. Briefly, the raw data is passed through 50 convolutional layers before subsequent classification into one of five ...
Jennum, Poul, Mignot, Emmanuel, Olesen, Alexander Neergaard, Peppard, Paul, Sorensen, Helge Bjarup Dissing   +4 more
core   +2 more sources

NORMAL ELECTROOCULOGRAPHY IN BEST DISEASE AND AUTOSOMAL RECESSIVE BESTROPHINOPATHY [PDF]

Retina, 2018
Purpose: To evaluate the electrooculogram (EOG) in a large series of patients with Best disease and autosomal recessive bestrophinopathy. Methods: A retrospective review of consecutive cases at Moorfields Eye Hospital, London, United Kingdom.
Khan, KN, Islam, F, Holder, GE, Robson, A, Webster, AR, Moore, AT, Michaelides, M   +6 more
openaire   +3 more sources

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, Volume 13, Issue 20, 9 April 2026.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source