Contactless Heart and Respiration Rates Estimation and Classification of Driver Physiological States Using CW Radar and Temporal Neural Networks

Autor: Amal El Abbaoui, David Sodoyer, Fouzia Elbahhar

Publikováno v: Sensors, Vol 23, Iss 23, p 9457 (2023)

The measurement and analysis of vital signs are a subject of significant research interest, particularly for monitoring the driver’s physiological state, which is of crucial importance for road safety. Various approaches have been proposed using co

Externí odkaz: https://doaj.org/article/e609bb9d1bc045668b01cf0579937c6e

Performance Evaluation of 5G Waveforms for Joint Radar Communication over 77 GHz and 24 GHz ISM Bands

Autor: Imane Khelouani, Fouzia Elbahhar, Raja Elassali, Noureddine Idboufker

Publikováno v: Energies, Vol 15, Iss 6, p 2049 (2022)

The V2X environment poses many challenges to emerging wireless communication systems, while it is crucial to ensure the efficiency and safety of road users. Requiring continual localization of the surroundings and accurate obstacle detection while pr

Externí odkaz: https://doaj.org/article/aba3a8fc0d374f66b0f8b61ed6589c47

Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz

Autor: Fatima Sekak, Kawtar Zerhouni, Fouzia Elbahhar, Madjid Haddad, Christophe Loyez, Kamel Haddadi

Publikováno v: Sensors, Vol 20, Iss 12, p 3396 (2020)

Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological

Externí odkaz: https://doaj.org/article/8f443a0ae34e4aedadb2edacbafed89c

DS-UWB and TH-UWB Energy Consumption Comparison

Autor: Adil Elabboubi, Fouzia Elbahhar, Marc Heddebaut, Yassin El Hillali

Publikováno v: Journal of Telecommunications and Information Technology, Iss 1 (2016)

The energy consumption of the wireless communication systems is starting to be unaffordable. One way to improve the power consumption is the optimization of the communication techniques used by the communication networks and devices. In order to deve

Externí odkaz: https://doaj.org/article/f9cb69a41580465facd39c4f4c528ec3

V2X Wireless Technology Identification Using Time–Frequency Analysis and Random Forest Classifier

Autor: Fouzia Elbahhar, Camelia Skiribou

Publikováno v: Sensors, Vol 21, Iss 4286, p 4286 (2021)
Sensors
Sensors, 2021, 21 (13), pp1-14. ⟨10.3390/s21134286⟩
Sensors (Basel, Switzerland)
Volume 21
Issue 13

Signal identification is of great interest for various applications such as spectrum sharing and interference management. A typical signal identification system can be divided into two steps. A feature vector is first extracted from the received sign

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07dd0b05483682413c43d2f3b962223
https://www.mdpi.com/1424-8220/21/13/4286