Publications by Sibylle Fallet

Can one detect atrial fibrillation using a wrist-type photoplethysmographic device?

Jean-Marc Vesin, Philippe Renevey, Célestin Leupi, Mathieu Lemay, Sibylle Fallet, Etienne Pruvot

This study aims at evaluating the potential of a wrist-type photoplethysmographic (PPG) device to discriminate between atrial fibrillation (AF) and other types of rhythm. Data from 17 patients undergoing catheter ablation of various arrhythmias were proces ...

SPRINGER HEIDELBERG2019

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Sibylle Fallet

Photoplethysmography (PPG)-based monitoring devices will probably play a decisive role in healthcare environment of the future, which will be preventive, predictive, personalized and participatory. Indeed, this optical technology presents several practical ...

EPFL2018

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Jean-Marc Vesin, Sibylle Fallet, Sasan Yazdani

In this paper we propose a fast novel non-linear filtering method named Relative-Energy (Rel-En), for robust short-term event extraction from biomedical signals. We developed an algorithm that extracts short- and long-term energies in a signal and provides ...

2018

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Jean-Marc Vesin, Sibylle Fallet

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motio ...

Institute of Physics2017

False arrhythmia alarms reduction in the intensive care unit: a multimodal approach

Jean-Marc Vesin, Sibylle Fallet, Sasan Yazdani

The purpose of this study was to develop algorithms to lower the incidence of false arrhythmia alarms in the ICU using information from independent sources, namely electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG). Our app ...

Institute of Physics2016

Sleep Disordered Breathing During Live High-Train Low in Normobaric Versus Hypobaric Hypoxia

Mattia Bertschi, Jean-Marc Vesin, Sibylle Fallet, Grégoire Millet

The present study aimed to compare sleep disordered breathing during live high-train low (LHTL) altitude camp using normobaric hypoxia (NH) and hypobaric hypoxia (HH). Sixteen highly trained triathletes completed two 18-day LHTL camps in a crossover design ...

Mary Ann Liebert, Inc2016

A Multimodal Approach to Reduce False Arrhythmia Alarms in the Intensive Care Unit

Jean-Marc Vesin, Sibylle Fallet, Sasan Yazdani

As part of the 2015 PhysioNet/CinC Challenge, this work aims at lowering the number of false alarms, which are a persistent concern in the intensive care unit. The multimodal database consists of 1250 life-threatening alarm recordings, each categorized as ...

2015

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

Jean-Marc Vesin, Sibylle Fallet

In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to monitor heart rate (HR) during physical exercise. However, PPG waveforms are easily corrupted by motion artifacts, rendering HR estimation difficult. In thi ...

2015

Sleep Apnea Detection using Features from the Respiration and the ECG recorded with Smart-Shirts

Jean-Marc Vesin, Andréa Buttu, Leila Mirmohamadsadeghi, Sibylle Fallet, Grégoire Millet

The automatic detection of sleep apnea episodes, without the need of polysomnography and outside a clinical facility, could help facilitate the diagnosis of this disorder. In this work, features to detect sleep apnea events were computed from respiration a ...

2014