Publications

@conference{Farhat2023,

title = {Design and Implementation in VHDL-AMS of a Novel Reconfigurable Mono-bit Sigma Delta Modulator},

author = {F. Farhat and H. Dahman and J. Lloret and N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182947451\&doi=10.1109%2fIW_MSS59200.2023.10369711\&partnerID=40\&md5=41dd1832647f1471a7bfda2f87cd5b1f},

doi = {10.1109/IW_MSS59200.2023.10369711},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This work presents the VHDL-AMS design and implementation of an innovative reconfigurable third-order single-bit sigma-delta analog-to-digital converter (ΣΔ ADC) tailored for a global ISM band radio receiver, covering Bluetooth, Zigbee, and Wi-Fi. The novelty of this design departs from the common use of integrators in ΣΔ modulators by emphasizing the design of delay components. This unique architecture maintains the oversampling frequency across different bands. The reconfigurability of the ADC is achieved by altering the modulator's order. Specifically, in the Bluetooth and Zigbee bands, only the top two stages (2nd order mash 11) are active, while in the Wi-Fi band, all three stages (3rd order mash 111) are engaged. The reconfigurable ADC is implemented on a Xilinx board for practical application. © 2023 IEEE.},

note = {cited By 0},

keywords = {1-bit sigma delta ADC; Bluetooth/wi-fi/zigbee; Design and implementations; Reconfigurable; Reconfigurable sigma-delta modulator; Sigma Delta modulator; Single-bit; Third order; VHDL-AMS; Wireless sensor network applications, Bluetooth, Delta sigma modulation; Digital radio; Modulators; Radio receivers; Wireless local area networks (WLAN); Wireless sensor networks; Zigbee},

pubstate = {published},

tppubtype = {conference}

}

@conference{Sakli20221748,

title = {Internet of Things (IoT) System with Matlab interface for Multi Patient ECG's Monitoring},

author = {N. Sakli and C. Baccouche and A. Zouinkhi and H. Sakli and M. Najjari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143783845\&doi=10.1109%2fSSD54932.2022.9955957\&partnerID=40\&md5=c95c93864c2f25eada82c65e2b497740},

doi = {10.1109/SSD54932.2022.9955957},

isbn = {9781665471084},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {1748-1753},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The wireless sensor network (WSN) is used to monitor environmental or phenomena physical, such as noise, pressure, motion or temperature, and to transmit data to the capital. Nowadays, with the explosive growth of IoT technology, more and more practical applications can be found in many fields, including security, smart metering, agriculture, smart cities and more domestic intelligence. There are other applications, especially military, home automation, industrial, sanitary, and especially medical applications and sanitary. This article suggests and explores home health care. The Arduino can be used to perform a portable ECG with the heart condition reading function. The main component of this system is the AD8232 sensor which can read the heart rate and process the voltage of the electrodes connected to the body. By combining the Arduino UNO microprocessor and HC 05 FC-114 as Bluetooth or Wifi, ZigBee antenna, GSM/GPRS and even XBee, the ECG screen is displayed in real time on a smartphone. We used an ECG simulator as an artificial corrective agent which is used as a tool to justify the performance of a portable ECG supported on the results obtained from the test. The EGC can be sent via the simulator to the smartphone or to the Matlab interface through a wireless communication module (ZigBee, Bluetooth, Wifi, GSM / GPRS or XBee). The exact result shows the patient's condition in real time. In this article, ECG results are published through the Matlab interface. © 2022 IEEE.},

note = {cited By 0},

keywords = {Bluetooth, Electrocardiography; Internet of things; mHealth; Military applications; Remote patient monitoring; Smartphones; Telemedicine; Web services; Wi-Fi; Wireless local area networks (WLAN); Wireless sensor networks; Zigbee, GSM/GPRS; Noise motion; Noise pressure; Noise temperature; Pressure motions; Real- time; Sensors network; Smart phones; Web servers; Wire-less sensor network},

pubstate = {published},

tppubtype = {conference}

}