Results 71 to 80 of about 10,182 (254)

EEG source imaging assists decoding in a face recognition task

, 2017
EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding.
Andersen, Michael Riis, Andersen, Rasmus S., Eliasen, Anders U., Hansen, Lars Kai, Hansen, Sofie Therese, Pedersen, Nicolai   +5 more
core   +1 more source

Sleep in Functional Motor Disorders: A Case–Control Polysomnographic Study

Journal of Sleep Research, EarlyView.
ABSTRACT Sleep problems are frequent in functional motor disorders (FMDs). Surprisingly, objective correlates of impaired sleep and its relationship to other comorbidities have been understudied, and no polysomnographic study is available. We aimed to map the polysomnographic parameters in the context of self‐reported sleep and mood symptoms and search
Jiří Nepožitek, Simona Dostálová, Martin Jirásek, Gabriela Chaloupková, Zuzana Forejtová, Lucia Nováková, Veronika Rottová, Veronika Konvičná, Karel Šonka, Mark J. Edwards, Tereza Serranová   +10 more
wiley   +1 more source

Transparent authentication: Utilising heart rate for user authentication [PDF]

, 2018
There has been exponential growth in the use of wearable technologies in the last decade with smart watches having a large share of the market. Smart watches were primarily used for health and fitness purposes but recent years have seen a rise in their ...
deutschmann, el-sayed, gafurov, kim, mallat, nag, sasikala, shen, sidek, sidek, tawfik, tsai, wang   +12 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

Validation of OSLER Test Against Maintenance of Wakefulness Test and the Association With Subjective Measures of Sleepiness

Journal of Sleep Research, EarlyView.
ABSTRACT The ability to stay awake is crucial in life and can be compromised by insufficient sleep and medical conditions. Measuring alertness is important for evaluating driving ability and the Oxford Sleep Resistance (OSLER) test may provide an easy way for assessment.
Riikka Huhta, Anniina Alakuijala, Markku Partinen   +2 more
wiley   +1 more source

Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm

Sensors, 2018
Engagement is described as a state in which an individual involved in an activity can ignore other influences. The engagement level is important to obtaining good performance especially under study conditions. Numerous methods using electroencephalograph
Fadilla Zennifa, Sho Ageno, Shota Hatano, Keiji Iramina   +3 more
doaj   +1 more source

A large collection of real-world pediatric sleep studies

Scientific Data, 2022
Measurement(s) Polysomnogram • Electronic Health Record • Electroencephalogram Measurement • Electrocardiogram • Electrooculogram • Electromyogram Technology Type(s) Polysomnography • Electronic Health Record System • Electroencephalography (EEG ...
Harlin Lee, Boyue Li, Shelly DeForte, Mark L. Splaingard, Yungui Huang, Yuejie Chi, Simon L. Linwood   +6 more
doaj   +1 more source

Adaptive computation of multiscale entropy and its application in EEG signals for monitoring depth of anesthesia during surgery [PDF]

, 2012
Entropy as an estimate of complexity of the electroencephalogram is an effective parameter for monitoring the depth of anesthesia (DOA) during surgery.
Cheng-Wei Lu, Jiann-Shing Shieh, Maysam F. Abbod, Oppenheim, Ouyang, Pincus, Qin Wei, Quan Liu, Richman, Shou-Zen Fan, Tzu-Yu Lin   +10 more
core   +2 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

Integrating Eye-Tracking With Cortical Visual Prostheses in Patients Without Eyes: A Case Study

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cortical prostheses aim to provide artificial vision to blind individuals by electrically stimulating the occipital cortex to induce visual sensations called phosphenes.
Dorota Waclawczyk, Leili Soo, Roberto Morollon Ruiz, Avi Caspi, Eduardo Fernandez   +4 more
doaj   +1 more source