Publications de Walter Karlen | EPFL Graph Search

Forecasting intracranial hypertension using multi-scale waveform metrics

Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively, leading to late detection and lost time for intervention planning. A pro-ac ...

IOP PUBLISHING LTD2020

SleepPic. Hardware Developments for a Wearable On-line Sleep and Wake Discrimination System

Dario Floreano, Walter Karlen

The design of wearable systems comes with constraints in computational and power resources. We describe the development of customized hardware for the wearable discrimination of human sleep and wake based on cardio-respiratory signals. The device was desig ...

SciTePress2011

Adaptive Sleep-Wake Discrimination for Wearable Devices

Dario Floreano, Walter Karlen

Sleep/wake classification systems that rely on phys- iological signals suffer from inter-subject differences that make accurate classification with a single, subject-independent model difficult. To overcome the limitations of inter-subject variability we s ...

Institute of Electrical and Electronics Engineers2010

Enhancing Pilot Performance with a SymBodic System

Daniel Thalmann, Dario Floreano, Walter Karlen, Sylvain Cardin

Increased fatigue of pilots during long flights can place both humans and machine at high risk. In this paper, we describe our research on a SymBodic (SYMbiotic BODies) system designed to minimize pilot fatigue in a simulated 48 hour mission. The system de ...

IEEE Engineering in Medicine and Biology Society2010

Adaptive wake and sleep detection for wearable systems

Walter Karlen

Sleep problems and disorders have a serious impact on human health and wellbeing. The rising costs for treating sleep-related chronic diseases in industrialized countries demands efficient prevention. Low-cost, wearable sleep / wake detection systems which ...

EPFL2009

Sleep and Wake Classification With ECG and Respiratory Effort Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method for the online classification of sleep/wake states based on cardiorespiratory signals produced by wearable sensors. The method was conceived in view of its applicability to a wearable sleepiness monitoring device. The method uses a Fas ...

2009

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

Actigraphy for long-term sleep/wake monitoring fails to correctly classify situations where the subject displays low activity, but is awake. In this paper we propose a new algorithm which uses both accelerometer and cardio-respiratory signals to overcome t ...

2008

Adaptive Sleep/Wake Classification Based on Cardiorespiratory Signals for Wearable Devices

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...

IEEE Press2007

Robot-Animal Interaction: Perception and Behavior of Insbot

Roland Siegwart, Fabien Tâche, Masoud Asadpour, Gilles Caprari, Walter Karlen

This paper describes hardware and behavior implementation of a miniature robot in size of a match box that simulates the behavior of cockroaches in order to establish a social interaction with them. The robot is equipped with two micro-processors dedicated ...

2006

Perception and Behavior of InsBot : Robot-Animal Interaction Issues

Roland Siegwart, Fabien Tâche, Masoud Asadpour, Gilles Caprari, Walter Karlen

This paper describes the hardware and behavior implementation of a miniature robot, in size of a match box, that is able to interact with cockroaches. The robot is equipped with two micro-processors dedicated to hardware processing and behavior generation. ...

2005