Publications by Leila Mirmohamadsadeghi

Signal Processing Approaches for Cardio-Respiratory Biosignals with an Emphasis on Mobile Health Applications

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

Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Ashkan Yazdani

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

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

The Respiration Pattern as an Indicator of the Anaerobic Threshold

Jean-Marc Vesin, Mathieu Lemay, Leila Mirmohamadsadeghi

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

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

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

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

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

Respiratory rate estimation from the ECG using an instantaneous frequency tracking algorithm

Jean-Marc Vesin, Leila Mirmohamadsadeghi

Monitoring the respiratory rate (RR) is important in many clinical and non-clinical situations but it is difficult in practice, for existing devices are obtrusive, bulky and expensive. The extraction of the RR from the routinely acquired electrocardiogram ...

Elsevier Sci Ltd2014

A template privacy protection scheme for fingerprint minutiae descriptors

Leila Mirmohamadsadeghi, Andrzej Drygajlo

It is important in biometric person recognition systems to protect personal data and privacy of users. This paper introduces a new mechanism to revoke and protect fingerprint minutiae information, which can be used in today’s security-aware society. The re ...

2013

Introduction of cylinder quality measure into Minutia Cylinder-Code based fingerprint matching

Leila Mirmohamadsadeghi, Andrzej Drygajlo, Mohammad Hamed Izadi

Poor data quality is responsible for many or even most matching errors in fingerprint recognition systems. It became obvious that particular effort is needed in adaptation of the state-of-the-art minutiae-based fingerprint matching techniques to real-world ...

IEEE2012