Publications de Cédric Duchene

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Interest in technology supporting meditation continues to grow commercially and academically. Commonly, these approaches look at how audio-visual feedback based on physiological indicators can help induce a state of meditation. Haptic feedback is now seen ...

Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

The detection of stable atrial fibrillation (AF) sources remains one of the major challenges in the AF management. In this study, we investigated the feasibility of detecting stable AF sources from (non invasive) data simulated by means of numerical proced ...

The standard ECG remains the most common non-invasive tool for assessing atrial fibrillation. Specific signal processing techniques have been developed to improve the diagnosis. However, validation of such tools is challenging and comprehensive invasive da ...

Neuronal oscillations are an important aspect of EEG recordings. These oscillations are supposed to be involved in several cognitive mechanisms. For instance, oscillatory activity is considered a key component for the top-down control of perception. Howeve ...

The Ming Shan Digital Experience is an immersive installation designed to support meditation in the context of a new Taoist center. Its creation confronted current academic literature on digital technology for meditation with the practical and cultural req ...

This paper presents a simulation study on the identifiability of multiple reentrant circuits on the basis of the vectorcardiogram. The methods involved include an advanced tracking of the basic frequencies of the dominant rotors and a supporting identifica ...

Cédric Duchene

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A user-centered design approach for crafting personalized guided meditation

Adapting Haptic Feedback for Guided Meditation

Adaptive Multiple Frequency Tracking Algorithm: Detection of Stable Atrial Fibrillation Sources from Standard 12-Lead ECG

The Role of Atrial Modeling in the Development of ECG Processing Tools

Adaptive tracking of EEG oscillations

Ming Shan Digital Experience

Estimation of Atrial Multiple Reentry Circuits from Surface ECG Signals based on a Vectorcardiogram Approach

Adaptive Multiple Frequency Tracking Algorithm used to Detect Stable Atrial Fibrillation Sources from standard 12-lead ECG