Publications

2018
Ouarlent Y. Lymphome de la zone marginal ;à propos de 7 cas. XVème congres maghrebin d’hematologie . 2018.
Abbache F, Kalla H. Maximizing Reliability of Heterogeneous Distributed System Using an Adapted Discrete Flower Pollination Algorithm for Task Allocation Problem. 2018 21st Saudi Computer Society National Computer Conference (NCC). 2018 :1-6.
Abbache F, Kalla H. Maximizing Reliability of Heterogeneous Distributed System Using an Adapted Discrete Flower Pollination Algorithm for Task Allocation Problem. 2018 21st Saudi Computer Society National Computer Conference (NCC). 2018 :1-6.
Dendouga A, Oussalah S, Lakhdar N, Lakehal B. MDAC Design for an 8-bit 40 MS/s Pipelined ADC in a 0.18 μm CMOS Process. 2018 International Conference on Communications and Electrical Engineering (ICCEE). 2018 :1-3.
Dendouga A, Oussalah S, Lakhdar N, Lakehal B. MDAC Design for an 8-bit 40 MS/s Pipelined ADC in a 0.18 μm CMOS Process. 2018 International Conference on Communications and Electrical Engineering (ICCEE). 2018 :1-3.
Dendouga A, Oussalah S, Lakhdar N, Lakehal B. MDAC Design for an 8-bit 40 MS/s Pipelined ADC in a 0.18 μm CMOS Process. 2018 International Conference on Communications and Electrical Engineering (ICCEE). 2018 :1-3.
Dendouga A, Oussalah S, Lakhdar N, Lakehal B. MDAC Design for an 8-bit 40 MS/s Pipelined ADC in a 0.18 μm CMOS Process. 2018 International Conference on Communications and Electrical Engineering (ICCEE). 2018 :1-3.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Bouaziz A, Loucif L, Ayachi A, Guehaz K, Bendjama E, Rolain J-M. Migratory white stork (Ciconia ciconia): a potential vector of the OXA-48-producing Escherichia coli ST38 clone in Algeria. Microbial Drug ResistanceMicrobial Drug Resistance. 2018;24 :461-468.
Hedjazi N, Benali A, Bouzit M, Dibi Z. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;43 :75-85.
Naceur H, Abderraouf B, Mourad B, Zohir D. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations, ISSN / e-ISSN 1746-8094 / 1746-8108. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;Volume 43 :pp 75-85.Abstract
In this paper, different techniques of analysis have been used to study the effects of perturbations generated from a robotic mobile platform called Isiskate. These disturbances were applied on two categories of people: post-CVA subjects suffering from cerebrovascular accident and healthy individuals. Our aim is to analyze some assessment tools to distinguish between different postural behaviors. In relevant works, very few studies have addressed the use of nonlinear time-series methods in diagnosis of post-CVA pathological postural behavior. Furthermore, our tools are based on parametric and non-parametric identification procedures, that can yield to an insight on how to improve the examination time. As part of our analysis, the tests were established with several levels of sinusoidal vibrations, along the anterior–posterior (A/P) and medial–lateral (M/L) planes. The mobile platform allowed us to record a set of coordinates that includes center of pressure (COP) as a function of time. First, we have quantified some linear parameters and spectral characteristics using power spectral density (PSD). Thereafter, we have deduced stochastic parameters using stabilogram diffusion analysis (SDA), which revealed some interesting invariants. Then transfer functions between the platform velocity and COP trajectory were evaluated. They were carried out at frequencies from 0.1 Hz to 3.3 Hz. Furthermore, we accomplished a comparison of models based on both parametric and nonparametric identification methods. The combination of the proposed techniques has provided us an understanding of human control process by establishing a behavior model and helped us to distinguish patients with postural disorders. This improves postural analysis and facilitates the diagnosis of pathologies related to equilibrium which serves in rehabilitation.
Hedjazi N, Benali A, Bouzit M, Dibi Z. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;43 :75-85.
Naceur H, Abderraouf B, Mourad B, Zohir D. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations, ISSN / e-ISSN 1746-8094 / 1746-8108. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;Volume 43 :pp 75-85.Abstract
In this paper, different techniques of analysis have been used to study the effects of perturbations generated from a robotic mobile platform called Isiskate. These disturbances were applied on two categories of people: post-CVA subjects suffering from cerebrovascular accident and healthy individuals. Our aim is to analyze some assessment tools to distinguish between different postural behaviors. In relevant works, very few studies have addressed the use of nonlinear time-series methods in diagnosis of post-CVA pathological postural behavior. Furthermore, our tools are based on parametric and non-parametric identification procedures, that can yield to an insight on how to improve the examination time. As part of our analysis, the tests were established with several levels of sinusoidal vibrations, along the anterior–posterior (A/P) and medial–lateral (M/L) planes. The mobile platform allowed us to record a set of coordinates that includes center of pressure (COP) as a function of time. First, we have quantified some linear parameters and spectral characteristics using power spectral density (PSD). Thereafter, we have deduced stochastic parameters using stabilogram diffusion analysis (SDA), which revealed some interesting invariants. Then transfer functions between the platform velocity and COP trajectory were evaluated. They were carried out at frequencies from 0.1 Hz to 3.3 Hz. Furthermore, we accomplished a comparison of models based on both parametric and nonparametric identification methods. The combination of the proposed techniques has provided us an understanding of human control process by establishing a behavior model and helped us to distinguish patients with postural disorders. This improves postural analysis and facilitates the diagnosis of pathologies related to equilibrium which serves in rehabilitation.
Hedjazi N, Benali A, Bouzit M, Dibi Z. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;43 :75-85.
Naceur H, Abderraouf B, Mourad B, Zohir D. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations, ISSN / e-ISSN 1746-8094 / 1746-8108. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;Volume 43 :pp 75-85.Abstract
In this paper, different techniques of analysis have been used to study the effects of perturbations generated from a robotic mobile platform called Isiskate. These disturbances were applied on two categories of people: post-CVA subjects suffering from cerebrovascular accident and healthy individuals. Our aim is to analyze some assessment tools to distinguish between different postural behaviors. In relevant works, very few studies have addressed the use of nonlinear time-series methods in diagnosis of post-CVA pathological postural behavior. Furthermore, our tools are based on parametric and non-parametric identification procedures, that can yield to an insight on how to improve the examination time. As part of our analysis, the tests were established with several levels of sinusoidal vibrations, along the anterior–posterior (A/P) and medial–lateral (M/L) planes. The mobile platform allowed us to record a set of coordinates that includes center of pressure (COP) as a function of time. First, we have quantified some linear parameters and spectral characteristics using power spectral density (PSD). Thereafter, we have deduced stochastic parameters using stabilogram diffusion analysis (SDA), which revealed some interesting invariants. Then transfer functions between the platform velocity and COP trajectory were evaluated. They were carried out at frequencies from 0.1 Hz to 3.3 Hz. Furthermore, we accomplished a comparison of models based on both parametric and nonparametric identification methods. The combination of the proposed techniques has provided us an understanding of human control process by establishing a behavior model and helped us to distinguish patients with postural disorders. This improves postural analysis and facilitates the diagnosis of pathologies related to equilibrium which serves in rehabilitation.
Hedjazi N, Benali A, Bouzit M, Dibi Z. Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations. Biomedical Signal Processing and ControlBiomedical Signal Processing and Control. 2018;43 :75-85.

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