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Sasan Yazdani

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Related publications (22)

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Novel Low Complexity Biomedical Signal Processing Techniques for Online Applications

Sasan Yazdani

Biomedical signal processing has become a very active domain of research nowadays. With the advent of portable monitoring devices, from accelerometer-enabled bracelets and smart-phones to more advanced vital sign tracking body area networks, this field has ...

EPFL2018

AltitudeOmics: Spontaneous Baroreflex Sensitivity During Acclimatization to 5,260 m: A Comparison of Methods

Jean-Marc Vesin, Sasan Yazdani

Introduction Baroreflex sensitivity (BRS) is essential to ensure rapid adjustment to variations in blood pressure (BP). Spontaneous baroreflex function can be assessed using continuous recordings of blood pressure. The goal of this study was to compare fou ...

2019

RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes? Monitoring

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani

Easy-to-use and accurate heart rate variability (HRV) assessments are essential in athletes??? follow-up, but artifacts may lead to erroneous analysis. Artifact detection and correction are the purpose of extensive literature and implemented in dedicated a ...

JOURNAL SPORTS SCIENCE & MEDICINE2022

Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation

Jean-Marc Vesin, Etienne Pruvot, Sasan Yazdani, Adrian Luca, Yann Prudat

Background and objective The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs) during atrial fibrillation (AF) is challenging considering their various amplitudes, morphologies and cycle length. Activation time ...

BMC2022

Spam Fighting in Social Tagging Systems

Touradj Ebrahimi, Sasan Yazdani, Ivan Ivanov

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available online. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes ...

Springer-Verlag2012

A Non-linear Filter to Detect Atrial Activation from Intracardiac Electrograms

Jean-Marc Vesin, Etienne Pruvot, Sasan Yazdani, Andréa Buttu

Atrial activation (AA) detection during atrial fibrillation (AF) can be considered as a first step in estimating AF characteristics such as the AF cycle length. The detection of AA from intracardiac electrograms (EGM) remains challenging due to the constan ...

2017

A Novel Measure of Instantaneous Baroreflex Sensitivity

Jean-Marc Vesin, Sasan Yazdani, Miljan Petrovic

Various time- and frequency-based approaches have been proposed to measure baroreflex sensitivity. All these methods are block-based ones. This study proposes a novel instantaneous measure of baroreflex sensitivity that enables the investigation of frequen ...

2017

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

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

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

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset

David Atienza Alonso, Jean-Marc Vesin, Amir Aminifar, Sasan Yazdani, Adrian Luca, Elisabetta De Giovanni

In spite of the progress in management of Atrial Fibrillation (AF), this arrhythmia is one of the major causes of stroke and heart failure. The progression of this pathology from a silent paroxysmal form (PAF) into a sustained AF can be prevented by predic ...

2017

Analysis of U-Shape Patterns in RR-Interval Time Series During Sleep

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani

The proposed study investigates a phenomenon, defined as "U-patterns", that takes place in the RR-interval time series during sleep. These patterns are defined as a U-shaped decrease-increase in the RR-intervals, with a duration of 20 to 40 seconds with a ...

IEEE2018

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

Jean-Marc Vesin, Lukas Kappenberger, Sasan Yazdani, Adrian Luca

Few data are available on the assessment of P-wave beat-to-beat morphology variability and its ability to identify patients prone to paroxysmal atrial fibrillation (AF) occurrence. Aim of this study was to determine whether electrocardiographic (ECG) param ...

Excerpta Medica Inc-Elsevier Science Inc2017

Minimal Window Duration for Accurate HRV Recording in Athletes

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani

Heart rate variability (HRV) is non-invasive and commonly used for monitoring responses to training loads, fitness, or overreaching in athletes. Yet, the recording duration for aseries of RR-intervals varies from 1 to 15 min in the literature. The aim of t ...

Frontiers Research Foundation2017

Overload blunts baroreflex only in overreached athletes

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani, Masih Nilchian

Heart rate variability (HRV) is commonly used to diagnose overreaching and monitor athletes’ responses to training. Baroreflex sensitivity (BRS) is modified by changes in training load and might be another means to detect overreaching. The goal of this stu ...

2018

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

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

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

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

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

Extracting Atrial Activations from Intracardiac Signals during Atrial Fibrillation using Adaptive Mathematical Morphology

Jean-Marc Vesin, Etienne Pruvot, Sasan Yazdani, Andréa Buttu

The detection of intracardiac activities is a major issue in the processing of atrial fibrillation signals. we evaluate a method based on mathematical morphology with an adaptive structuring element in order to extract the atrial activations from intracard ...

2015

Extraction of QRS fiducial points from the ECG using adaptive mathematical morphology

Jean-Marc Vesin, Sasan Yazdani

QRS complex detection in the electrocardiogram (ECG) has been extensively investigated over the last two decades. Still, some issues remain pending due to the diversity of QRS complex shapes and various perturbations, notably baseline drift. This is especi ...

Academic Press Inc Elsevier Science2016

Adaptive Mathematical Morphology for QRS Fiducial Points Detection in the ECG

Jean-Marc Vesin, Sasan Yazdani

Fixed structure Mathematical Morphology (MM) operators have been used to detect QRS complexes in the ECG. These schemes are limited by the arbitrary setting of threshold values. Our study aims at extracting QRS complex fiducial points using MM with an adap ...

2014

Experimental study of atrial fibrillation cycle length during rapid atrial septal pacing

Jean-Marc Vesin, Sasan Yazdani, Adrian Luca

Computer model-based simulations have shown that rapid stimulation at 60-100% of atrial fibrillation cycle length (AFCL) from a ring of electrodes located around the septum may induce local capture in both atria for most AF dynamics. The present study aims ...

2017

Identification of Abnormal Heart Sounds

Silas Schlatter, Seyyed Abbas Atyabi, Jean-Marc Vesin, Sasan Yazdani

As a part of 2016 Physionet/CinC callenge, this work aims at the detection of abnormal phonocardiogram (PCG) recordings. Heart sound signal analysis has been an active research topic over the past decades with various studies such as heart sound segmentati ...

2016