Publications associées à Hypersomnolence

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

Julian David Fritsch, Subrahmanya Pavankumar Dubagunta

Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within t ...

2020

How to assess alerting effects of daylight at the workplace? Learnings from semi-controlled studies

Marilyne Andersen, Victoria Eugenia Soto Magán

Daylight, in which we evolved, is naturally rich in the blue component of the spectrum and has key properties when it comes to impacts on body functioning. Current lifestyles are driving the emergence of a 24-hour society that spends most of the time indoo ...

2019

Spatial clusters of daytime sleepiness and association with nighttime noise levels in a Swiss general population (GeoHypnoLaus)

Stéphane Joost, Idris Guessous, Rebecca Himsl

INTRODUCTION: Daytime sleepiness is highly prevalent in the general adult population and has been linked to an increased risk of workplace and vehicle accidents, lower professional performance and poorer health. Despite the established relationship between ...

2018

Can Daytime Napping Assist the Process of Skills Acquisition After Stroke?

Friedhelm Christoph Hummel, Winifried Backhaus

Acquisition and reacquisition of skills is a main pillar of functional recovery after stroke. Nighttime sleep has a positive influence on motor learning in healthy individuals, whereas the effect of daytime sleep on neuro-rehabilitative training and relear ...

2018

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

David Atienza Alonso, Amir Aminifar, Francisco Javier Rincon Vallejos, Srinivasan Murali, Grégoire Casimir Joseph Surrel

Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an aggravating factor for several serious cardiovascular diseases, including stroke. There is, however, a lack of medical devices for long-term ambulatory monitoring of ...

2018

Daytime sleep has no effect on the time course of motor sequence and visuomotor adaptation learning

Friedhelm Christoph Hummel, Winifried Backhaus

Sleep has previously been claimed to be essential for the continued learning processes of declarative information as well as procedural learning. This study was conducted to examine the importance of sleep, especially the effects of midday naps, on motor s ...

Elsevier2016

Motor Performance Is not Enhanced by Daytime Naps in Older Adults

Friedhelm Christoph Hummel, Winifried Backhaus

The impact of sleep on motor learning in the aging brain was investigated using an experimental diurnal nap setup. As the brain ages several components of learning as well as motor performance change. In addition, aging is also related to sleep architectur ...

2016

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Martin Vetterli, Patrick Thiran, Runwei Zhang

Energy efficiency of wireless sensor networks (WSNs) can be improved by moving base stations (BSs), as this scheme evenly distributes the communication load in the network. However, physically moving BSs is complicated and costly. In this paper, we propose ...

2015

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Martin Vetterli, Patrick Thiran, Runwei Zhang

ACM New York2015

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Hypersomnolence

REM sleep and muscle atonia in brainstem stroke: A quantitative polysomnographic and lesion analysis study

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

How to assess alerting effects of daylight at the workplace? Learnings from semi-controlled studies

Spatial clusters of daytime sleepiness and association with nighttime noise levels in a Swiss general population (GeoHypnoLaus)

Can Daytime Napping Assist the Process of Skills Acquisition After Stroke?

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

Daytime sleep has no effect on the time course of motor sequence and visuomotor adaptation learning

Motor Performance Is not Enhanced by Daytime Naps in Older Adults

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Graph Chatbot

Chattez avec Graph Search

How to assess alerting effects of daylight at the workplace? Learnings from semi-controlled studies

Spatial clusters of daytime sleepiness and association with nighttime noise levels in a Swiss general population (GeoHypnoLaus)

REM sleep and muscle atonia in brainstem stroke: A quantitative polysomnographic and lesion analysis study

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

Can Daytime Napping Assist the Process of Skills Acquisition After Stroke?

Daytime sleep has no effect on the time course of motor sequence and visuomotor adaptation learning

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

Motor Performance Is not Enhanced by Daytime Naps in Older Adults