Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Preben Kidmose"'
Autor:
Christian Sandøe Musaeus, Troels Wesenberg Kjaer, Ulrich Lindberg, Mark B. Vestergaard, Henrik Bo, Wiberg Larsson, Daniel Zvi Press, Birgitte Bo Andersen, Peter Høgh, Preben Kidmose, Martin Christian Hemmsen, Mike Lind Rank, Steen Gregers Hasselbalch, Gunhild Waldemar, Kristian Steen Frederiksen
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background In epilepsy, the ictal phase leads to cerebral hyperperfusion while hypoperfusion is present in the interictal phases. Patients with Alzheimer’s disease (AD) have an increased prevalence of epileptiform discharges and a study us
Externí odkaz:
https://doaj.org/article/717fb5de537b4cd4a7d4693bec1aff98
Editorial: Ear-centered sensing: from sensing principles to research and clinical devices, volume II
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/2a06f1c5412e49ec8769c369bfebae26
Autor:
Christian Sandøe Musaeus, Kristian Steen Frederiksen, Birgitte Bo Andersen, Peter Høgh, Preben Kidmose, Martin Fabricius, Melita Cacic Hribljan, Martin Christian Hemmsen, Mike Lind Rank, Gunhild Waldemar, Troels Wesenberg Kjær
Publikováno v:
Neurobiology of Disease, Vol 183, Iss , Pp 106149- (2023)
Background: In patients with Alzheimer's disease (AD) without clinical seizures, up to half have epileptiform discharges on long-term in-patient electroencephalography (EEG) recordings. Long-term in-patient monitoring is obtrusive, and expensive as c
Externí odkaz:
https://doaj.org/article/4780dc1e318a45ad9269af33e56b0508
Autor:
Yousef R. Tabar, Kaare B. Mikkelsen, Nelly Shenton, Simon L. Kappel, Astrid R. Bertelsen, Reza Nikbakht, Hans O. Toft, Chris H. Henriksen, Martin C. Hemmsen, Mike L. Rank, Marit Otto, Preben Kidmose
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionA device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without
Externí odkaz:
https://doaj.org/article/b6488db70fdc43f2958d790023e9a0f6
Autor:
Troels Wesenberg Kjaer, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose, Kaare Mikkelsen
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000134 (2022)
While polysomnography (PSG) is the gold standard to quantify sleep, modern technology allows for new alternatives. PSG is obtrusive, affects the sleep it is set out to measure and requires technical assistance for mounting. A number of less obtrusive
Externí odkaz:
https://doaj.org/article/fb86564e811e4cd493d8a06dc199dcc7
Autor:
Sirin W. Gangstad, Kaare B. Mikkelsen, Preben Kidmose, Yousef R. Tabar, Sigge Weisdorf, Maja H. Lauritzen, Martin C. Hemmsen, Lars K. Hansen, Troels W. Kjaer, Jonas Duun-Henriksen
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-17 (2019)
Abstract Background The interplay between sleep structure and seizure probability has previously been studied using electroencephalography (EEG). Combining sleep assessment and detection of epileptic activity in ultralong-term EEG could potentially o
Externí odkaz:
https://doaj.org/article/cb59b0a6e2484890ab4c7a8851183df4
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Given the rapid development of light weight EEG devices which we have witnessed the past decade, it is reasonable to ask to which extent neuroscience could now be taken outside the lab. In this study, we have designed an EEG paradigm well suited for
Externí odkaz:
https://doaj.org/article/e15a5e1c47d4423494643261225a25b0
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Brain-computer interfaces (BCIs) have successfully been used for motor recovery training in stroke patients. However, the setup of BCI systems is complex and may be divided into (1) mounting the headset and (2) calibration of the BCI. One of the majo
Externí odkaz:
https://doaj.org/article/02c5c8afebe042ac8db809a6c2876176
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2020)
Externí odkaz:
https://doaj.org/article/80922177fb0c4fd39bf4e34ff53f2b7b
Publikováno v:
BioMedical Engineering OnLine, Vol 16, Iss 1, Pp 1-15 (2017)
Abstract Background Sleep and sleep quality assessment by means of sleep stage analysis is important for both scientific and clinical applications. Unfortunately, the presently preferred method, polysomnography (PSG), requires considerable expert ass
Externí odkaz:
https://doaj.org/article/cf5a6fc686fd4ead94fce160f088cfab