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Leila Mirmohamadsadeghi

Related publications (16)

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We humans are constantly preoccupied with our health and physiological status. From precise measurements such as the 12-lead electrocardiograms recorded in hospitals, we have moved on to mobile acquisition devices, now as versatile as smart-watches and sma ...

EPFL2017

Real-Time Approaches for Heart Rate Monitoring using Imaging Photoplethysmography

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Sibylle Fallet, Fabian Braun, Virginie Moser

Imaging photoplethysmography (iPPG) has gained a lot of popularity as a contactless heart rate (HR) monitoring technique. However, most of the existing approaches to estimate HR are based on block-wise processing schemes, which are not optimal for real-tim ...

2016

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Imaging photoplethysmography (iPPG) has emerged as a contactless heart-rate monitoring technique. As the respiratory activity modulates the heart rate, we investigate the accuracy of iPPG in conveying the inter-beat variation due to the respiratory modulat ...

IEEE2016

Real-time multi-signal frequency tracking with a bank of notch filters to estimate the respiratory rate from the ECG

Jean-Marc Vesin, Leila Mirmohamadsadeghi

Measuring the instantaneous frequency of a signal rapidly and accurately is essential in many applications. However, the instantaneous frequency by definition is a parameter difficult to determine. Fourier-based methods introduce estimation delays as compu ...

Institute of Physics2016

Cardio-Respiratory Characterization of the Autonomic Balance

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Grégoire Millet

The autonomic balance is often measured using the low frequency~(LF) and high frequency~(HF) powers of the heart beat-to-beat intervals. However, these indices do not adequately integrate the influence of respiration and have been widely criticized. We stu ...

IEEE2016

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The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Images with high emotional content have been shown to alter signals such as the electrocardiogram~(ECG) and the respiration among many ot ...

IEEE2016

Extraction and Analysis of Short-Time Excursions in RR-interval Time Series

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Sasan Yazdani

RR-interval time series often present impulses corresponding to short-duration increases or decreases in the heart rate, most probably due to bursts in autonomic activity. The time-domain heartrate variability index pNN50 is obviously linked to these spike ...

2016

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The anaerobic threshold (AT) is a good index of personal endurance but needs a laboratory setting to be determined. It is important to develop easy AT field measurements techniques in order to rapidly adapt training programs. In the present study, it is po ...

2015

Estimating the real-time respiratory rate from the ECG with a bank of notch filters

Jean-Marc Vesin, Leila Mirmohamadsadeghi

The respiratory rate is an important vital sign that needs to be monitored continuously in clinical and non-clinical health monitoring applications. It is commonly estimated from electrocardiogram (ECG)-derived respiratory waveforms such as the respiratory ...

2015

Palm vein recognition with local texture patterns

Leila Mirmohamadsadeghi, Andrzej Drygajlo

Biometric recognition using the palm vein characteristics is emerging as a touchless and spoof-resistant hand-based means to identify individuals or to verify their identity. One of the open challenges in this field is the creation of fast and modality-dep ...

Inst Engineering Technology-Iet2014