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Your search keyword '"Sarah El-Samad"' showing total 5 results
Start Over Author "Sarah El-Samad" Topic 02 engineering and technology
5 results on '"Sarah El-Samad"'

1. Heartbeat rate measurement using microwave systems: single-antenna, two-antennas, and modeling a moving person

Author

Ghaïs El Zein, Sawsan Sadek, Dany Obeid, Sarah El-Samad, Gheorghe Zaharia, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut d'Electronique et de Télécommunications de Rennes (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Centre National de la Recherche Scientifique (CNRS), Lebanese University [Beirut] (LU), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
010504 meteorology & atmospheric sciences, Heartbeat, Computer science, Acoustics, 02 engineering and technology, wavelet decomposition, 01 natural sciences, Signal, law.invention, law, two-antennas microwave system, 0202 electrical engineering, electronic engineering, information engineering, Radar, signal processing, 0105 earth and related environmental sciences, single-antenna microwave system, Signal processing, Wavelet transform, 020206 networking & telecommunications, Body movement, Surfaces, Coatings and Films, [SPI.TRON]Engineering Sciences [physics]/Electronics, electrocardiograph, heartbeat rate, Hardware and Architecture, moving person, Antenna (radio), Microwave
Abstract

International audience; This paper presents a microwave system for heartbeat rate measurement. This system is based on using a vector network analyzer and horn antennas. The system generates a continuous wave signal toward a person's chest then the reflected signal is analyzed. The phase difference between the emitted and the reflected signals contains information about the chest movement; hence, the heartbeat rate can be extracted. In this work, several scenarios for detecting the heart activity are considered. The first scenario aims to provide a comparative study for using single-antenna and two-antennas microwave systems. Several radiated powers are considered in this scenario. Simultaneously with the microwave system, a wireless electrocardiograph is used as reference in order to determine the accuracy of the system. Measurements are performed in both cases when breathing normally and when holding the breath. The second scenario aims to test the ability of detecting the heartbeat activity of a person while moving. Measurements are performed while the subject walks towards the radar. Modeling is used for this purpose. The operating frequency used is 20 GHz in both scenarios. Signals are processed using wavelet transform and results show the ability to extract the heartbeat rate even with the presence of body movement.

Published
2018
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2. Comparison Between Single and Two-Antenna VNA System Used for Heartbeat Rate Extraction

Author

Sawsan Sadek, Gheorghe Zaharia, Sarah El-Samad, Ghaïs El Zein, Dany Obeid, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), University Institute of Technology, Lebanese University [Beirut] (LU), IUT de Saida, Université Libanaise, Lebanese University, University Institute of Technology., Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
010504 meteorology & atmospheric sciences, Computer science, Acoustics, Measure (physics), Wavelet transform, two-antennas VNA system, 020206 networking & telecommunications, 02 engineering and technology, wavelet decomposition, 01 natural sciences, Signal, [SPI.TRON]Engineering Sciences [physics]/Electronics, electrocardiograph, heartbeat rate, Wavelet decomposition, single-antenna VNA system, 0202 electrical engineering, electronic engineering, information engineering, Antenna (radio), Heartbeat rate, Microwave, 0105 earth and related environmental sciences, Continuous wave signal
Abstract

International audience; This paper presents a microwave system for measuring the cardiopulmonary activity performed in two ways: by using single antenna and by using two antennas. This system generates a continuous wave signal at 20 GHz toward the target and then measure the reflected signal. The target is the person's chest set placed at a distance of 1 m. The VNA measures the phase variation between the emitted and received signals. This phase variation contains information about the movement of the chest. An electrocardiograph is used simultaneously with the system as reference in order to determine the accuracy of the VNA system. The measurements are performed for a person under two conditions: breathing normally and holding the breath. Wavelet transform is used for the processing the obtained signals and the heartbeat rate is extracted accurately.

Published
2017

3. Remote Heartbeat Detection Using Microwave System from Four Positions of a Normally Breathing Patient

Author

Gheorghe Zaharia, Sarah El-Samad, Sawsan Sadek, Ghaïs El Zein, O. Obeid, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université Libanaise, Kaptalia Monitoring (Kaptalia), Kaptalia, Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
Noncontact detection, Heartbeat, Computer Networks and Communications, Computer science, Acoustics, 0206 medical engineering, Doppler radar, 02 engineering and technology, Signal, law.invention, law, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Electronic engineering, Microwave system, Electrical and Electronic Engineering, Electrocardiograph, Signal processing, Wavelet transform, 020206 networking & telecommunications, 020601 biomedical engineering, Heartbeat rate, [SPI.TRON]Engineering Sciences [physics]/Electronics, Hardware and Architecture, Signal Processing, Breathing, cardiovascular system, Microwave, circulatory and respiratory physiology
Abstract

International audience; This paper presents a microwave system for the detection of the cardiopulmonary activity. Measurements are performed at different operational frequencies and from different sides of a healthy subject who is breathing normally while sitting at 1 meter from the system. Simultaneously with the microwave system, a PC-based electrocardiograph is used in order to validate the heartbeat rate detection. Cardiopulmonary signals are processed using wavelet transforms in order to extract the heartbeat signal. The obtained results upon using the proposed system show the ability of detecting the cardiopulmonary signals at four sides of the subject, and the signal processing techniques show high accuracy in extracting the heartbeat signal and the heartbeat rate.

Published
2016
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4. Feasibility of Heartbeat Detection Behind a Wall Using CW Doppler Radar

Author

Gheorghe Zaharia, Ghaïs El Zein, Dany Obeid, Sarah El-Samad, Sawsan Sadek, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université Libanaise, Kaptalia Monitoring (Kaptalia), Kaptalia, Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
Discrete wavelet transform, 010504 meteorology & atmospheric sciences, Heartbeat, Computer science, Acoustics, Heartbeat detection, Phase (waves), 020206 networking & telecommunications, 02 engineering and technology, electrocardiogram, 01 natural sciences, Signal, law.invention, [SPI.TRON]Engineering Sciences [physics]/Electronics, continuous wave Doppler radar, CW Doppler, law, behind wall, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, heart rate, Metre, Radar, heartbeat detection, 0105 earth and related environmental sciences
Abstract

International audience; This paper presents a wireless measurement system for cardiopulmonary activity detection behind a wall. This system generates a continuous wave signal and is used at 2 different frequencies: 2.4 GHz and 10 GHz. The transmitted signal is directed toward the patient's chest situated at 1 m and then reflected. The radar system is based on a vector network analyzer, which measures the phase of S 21. The phase variation of S 21 contains information about heart and respiration activity. Measurements are carried out every 30 seconds, for a person sitting at a distance of 1 meter, directly in front of the system or behind a wall. Discrete wavelet transform is used as a processing technique to separate heartbeat signal from respiratory signal. The measurements were performed simultaneously with a PC-based electrocardiogram (ECG) which is used as a reference to validate the information extracted from the measured signals.

Published
2016
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5. Measurements of Cardiac and Cardiopulmonary Activities Using Contactless Doppler Radar

Author

Sarah El-Samad, Sawsan Sadek, Gheorghe Zaharia, Dany Obeid, Ghaïs El Zein, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Lebanese University [Beirut] (LU), Kaptalia Monitoring (Kaptalia), Kaptalia, Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)

Subjects
Heartbeat, Computer science, Acoustics, Doppler radar, Phase (waves), 02 engineering and technology, electrocardiogram, Signal, law.invention, Band-pass filter, law, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, medicine, heart rate, medicine.diagnostic_test, heart rate variability, 020206 networking & telecommunications, heartbeat detection, [SPI.TRON]Engineering Sciences [physics]/Electronics, wireless monitoring, Breathing, Electrocardiography, signal, Continuous wave signal
Abstract

International audience; This paper presents a wireless measurement system for cardiopulmonary activity. This system generates a continuous wave signal at 2.4 GHz toward the target and then measures the reflected signal. The target is the person's chest set at a distance of 1 m. The radar system contains a vector network analyzer, which measures the phase of S 21. The phase variation of S 21 contains information about heart and respiration activity. Measurements are performed with two different conditions, while the person is holding respiration for 10 seconds and then breathing normally for the same duration. Filtering is used as processing technique to separate heartbeat signal from respiratory signal in the second case. The measurements were performed simultaneously with a PC-based electrocardiograph which is used as a reference to validate the information extracted from the measured signals.

Published
2015
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