System-on-Chip Solution for Patients Biometric: A Compressive Sensing-Based Approach

Djelouat, Hamza; Zhai, Xiaojun; Disi, Mohamed Al; Amira, Abbes; Bensaali, Fayçal

doi:10.1109/jsen.2018.2871411

Cited by 48 publications

(27 citation statements)

References 43 publications

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“…The medical area will grow fivefold, the fastest, from 144 million connections in 2015 to 729 million in 2020 [1]. There are many applications of IoT in medicine, including in electrocardiography [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Heart Activity Monitoring Using Inductive Sensors

Brezulianu

Geman

Zbancioc

et al. 2019

Sensors

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This paper presents a system dedicated to monitoring the heart activity parameters using Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive Sensor (WHMIS) that represents a new method and device, developed by us as an experimental model, used to assess the mechanical activity of the hearth using inductive sensors that are inserted in the fabric of the clothes. Only one inductive sensor is incorporated in the clothes in front of the apex area and it is able to assess the cardiorespiratory activity while in the prior of the art are presented methods that predict sensors arrays which are distributed in more places of the body. The parameters that are assessed are heart data-rate and respiration. The results are considered preliminary in order to prove the feasibility of this method. The main goal of the study is to extract the respiration and the data-rate parameters from the same output signal generated by the inductance-to-number convertor using a proper algorithm. The conceived device is meant to be part of the “wear and forget” equipment dedicated to monitoring the vital signs continuously.

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Section: Introductionmentioning

confidence: 99%

IoT Based Heart Activity Monitoring Using Inductive Sensors

Brezulianu

Geman

Zbancioc

et al. 2019

Sensors

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“…One type of sensor widely used is the capacitive one. Numerous applications of wearable, including textile capacitive sensors have been reviewed in several papers such as [1], [2], and [3]. Among the most popular applications are those for detecting touching and gripping, human body posture, 3D gesture sensing, indoor localization, biometric sensing, and medical applications [1], [4].…”

Section: Introductionmentioning

confidence: 99%

Capacitive Interdigital Sensors for Flexible Enclosures and Wearables

Teodorescu

2020

2020 International Conference on Applied Electronics (AE)

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Recent applications related to flexible deployable enclosures for surgery and health care and to wearables may make use of capacitive sensors for monitoring the inflation state of the enclosure, the movements of the human body, and the detection of movements induced by respiration and heart activity (ballistocardiography). We propose the use of flexible, interdigital capacitive sensors in portable enclosures for medical applications, analyze the principles of operation of several versions of such sensors, and provide a theoretical foundation to their design and use, including limitations and errors. The paper also contributes to the analytic description of operation of flexible interdigital sensors, a topic not fully examined previously in the literature.

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“…In this paper, an efficient hardware architecture‐based LB algorithm for a Zynq System‐on‐Chip (SoC) hardware implementation is proposed. The proposed implementation utilizes the advantages of heterogeneous SoC and divides the calculations of the LB algorithm into two parts: Programmable Logic (PL) and the Processing System (PS),() where the PL contains a Xilinx 7 series Artix‐based programmable logic and the PS contains a dual ARM Cortex‐A9–based hard core processors . The major contributions of this work can be summarized in the following two points: 1) efficient real‐time implementation of LB method on a heterogeneous SoC; and 2) an efficient model partition scheme to increase the efficiency of memory utilization.…”

Section: Introductionmentioning

confidence: 99%

Zynq SoC based acceleration of the lattice Boltzmann method

Zhai

Amira

Bensaali

et al. 2019

Concurrency and Computation

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Cerebral aneurysm is a life-threatening condition. It is a weakness in a blood vessel that may enlarge and bleed into the surrounding area. In order to understand the surrounding environmental conditions during the interventions or surgical procedures, a simulation of blood flow in cerebral arteries is needed. One of the effective simulation approaches is to use the lattice Boltzmann (LB) method. Due to the computational complexity of the algorithm, the simulation is usually performed on high performance computers. In this paper, efficient hardware architectures of the LB method on a Zynq system-on-chip (SoC) are designed and implemented. The proposed architectures have first been simulated in Vivado HLS environment and later implemented on a ZedBoard using the software-defined SoC (SDSoC) development environment. In addition, a set of evaluations of different hardware architectures of the LB implementation is discussed in this paper. The experimental results show that the proposed implementation is able to accelerate the processing speed by a factor of 52 compared to a dual-core ARM processor-based software implementation. KEYWORDScerebral aneurysm, computational fluid dynamic, lattice Boltzmann, Zynq INTRODUCTIONSix million people in the United States have an unruptured brain aneurysm and about 30 000 people suffer a brain aneurysm rupture. 1 Among each 50 people, there is one patient with unruptured brain aneurysm and there is a brain aneurysm rupturing every 18 minutes. Statistics demonstrate as well that about 15% of patients with aneurysmal subarachnoid hemorrhage (SAH) die before arriving to the hospital and most of the deaths are due to rapid and massive brain injury from an initial bleeding. 2 A major solution to cerebral aneurysm is the clipping surgery, where a clip is placed across the neck of the aneurysm, preventing blood from leaking (as shown in Figure 1). However, in order to reduce the risk of having inaccurate blood flow measurements and efficiency of the clipping surgery, one of the solutions is to apply fluid dynamics to provide hemodynamic estimates for the simulation of blood flow in cerebral arteries. The impacts are severe since it targets one of the most critical organs in the human body, which is the brain, and any minor mistake could lead to fatal problems. Therefore, the required measurements (ie, velocity and blood pressure) for clipping surgery can be generated to provide the surgeons with the desired support to apply the clipping surgery. Sun et al present an analysis of the interactions of red and white blood cells into post-capillary venues by using a lattice Boltzmann (LB) approach. 3 A computational simulation for the separation of Red Blood Cells (RBCs) is suggested by Zai et al, 4 where the LB method is used to solve the Navier-Stokes equations. He et al 5 used LB for flow simulation in cerebral vasculature geometry along with the level-set method for medical imaging processing. Similarly, LB has been quite useful to simulate the blood flow in aneurysms. For example, the LB m...

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System-on-Chip Solution for Patients Biometric: A Compressive Sensing-Based Approach

Cited by 48 publications

References 43 publications

IoT Based Heart Activity Monitoring Using Inductive Sensors

IoT Based Heart Activity Monitoring Using Inductive Sensors

Capacitive Interdigital Sensors for Flexible Enclosures and Wearables

Zynq SoC based acceleration of the lattice Boltzmann method

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