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Felea V.,Laboratory of Computer Science
SoftCOM 2010 - International Conference on Software, Telecommunications and Computer Networks

The scope of this paper is to compare existing techniques proposed to manage real time (RT) communications in wireless sensor networks. MAC, network or cross layer solutions are presented and discussed in order to draw up a global view of system designs. Identifying drawbacks of existing works allows drawing future directions concerning QoS guaranteeing data delivery under time constraints. Source

Venkatesh K.K.,Brigham and Womens Hospital | Blewett D.,Laboratory of Computer Science | Kaimal A.J.,Boston | Riley L.E.,Boston
American Journal of Obstetrics and Gynecology

Background: Given the growing policy and public health interest in the identification and treatment of depression in pregnancy, an understanding of the feasibility, challenges, and implications for resource utilization of the implementation of a universal screening program is crucial. Objective: The purpose of this study was to assess the feasibility of large-scale implementation of universal screening for depression in pregnancy and during the postpartum period with the use of the Edinburgh Postnatal Depression Scale. Study Design: A prospective observational cohort study was conducted from July 2010 to June 2014 at a large academic medical center. Pregnant women were screened at 24-28 weeks gestation and again 6 weeks postpartum. An Edinburgh Postnatal Depression Scale score of ≥12 was the cutoff for referral to mental health services for diagnostic evaluation and treatment. Results: Among 8985 women who were enrolled in prenatal care at the participating sites, 8840 women (98%) were screened for depression antepartum, and 7780 women (86%) were screened postpartum. A total of 576 women (6.5%) screened positive for probable depression; of these, 69% screened positive antepartum, and 31% screened positive postpartum (P < .01). All women who screened positive were referred for an evaluation by a mental health professional; 79% of the women were evaluated, which was more common antepartum than postpartum (83% vs 71%; . P < .01). One hundred twenty-one women (21%) were not evaluated further after a positive screen; primary reasons included declining a mental health evaluation (30%) or transferring obstetric care (12%). Among women who underwent a mental health evaluation, 67% were diagnosed with major depression; 37% were diagnosed with an anxiety disorder; 28% were diagnosed concurrently with major depression and an anxiety disorder; 76% were diagnosed with either depression or anxiety, and 35% were treated with an antidepressant medication, which was more frequent during the postpartum period than during the antepartum period (54% vs 28%; . P < .001). After adjustment for maternal age, parity, race, and household income, women who screened positive antepartum were significantly more likely to link to mental health services compared with women who screened positive postpartum (adjusted odds ratio, 2.09; 95% CI, 1.24-3.24; . P = .001). Conclusion: This study demonstrates the feasibility of universal depression screening during both the antepartum and postpartum periods with the use of the Edinburgh Postnatal Depression Scale as an initial screen followed by mental health referral for further diagnostic evaluation and treatment. The population of women who screened positive and who accepted additional services differed at the 2 time points, which reinforces the utility of screening during both the antepartum and postpartum periods. Although universal screening for depression is feasible, further study of the barriers to mental health evaluation and treatment and the impact of treatment on obstetric outcomes are needed. © 2016 Elsevier Inc. Source

Bo A.P.L.,Laboratory of Computer Science | Azevedo-Coste C.,Laboratory of Computer Science | Azevedo-Coste C.,French Institute for Research in Computer Science and Automation | Geny C.,Montpellier University | And 3 more authors.
Artificial Organs

A great proportion of essential tremor (ET) patients have not so far been able to receive functional benefits from traditional therapies. In this regard, the use of functional electrical stimulation (FES) has been proposed for reducing tremor amplitude by stimulating muscles in antiphase with respect to the trembling motion. Although some studies have reported success in terms of tremor attenuation, drawbacks still exist that prevent the method from being used in real-life applications. In this article, we explore an alternative approach: a strategy based on the hypothesis that FES-induced constant muscle contraction may provide functional benefit for tremor patients. To evaluate the proposed strategy, experiments were conducted in which stimulation was intermittently turned on and off while the subjects performed a static motor task. The results of the proposed experimental protocol indicate that tremor attenuation using this strategy is feasible, as consistent tremor attenuation levels were obtained in eight out of 10 ET patients. Nonetheless, tremor reduction was not instantaneous for all successful trials, indicating that prior training with FES may improve the overall response. Furthermore, although simpler assistive devices may potentially be designed based on this technique, some experimental difficulties still exist, which suggests that further studies are necessary. © 2014 Wiley Periodicals, Inc. Source

Zaaboub W.,Laboratory of Computer Science | Ben Dhiaf Z.,Laboratory of Computer Science
6th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2014

This paper presents an approach of textural signature identification for the classification of high resolution satellite image of forest. We are looking for the most appropriate combination of features from texture measures. This combination which forms our signature should allow the discrimination between different types of textures present in the image that will be classified. We improve our signature by a step of weighting features. The weight of each feature reflects its degree of confidence. We finish with an experimental step which is an application of our combined weighted signature for the purposes of classification of high resolution satellite image of forest. © 2014 IEEE. Source

Beydoun K.,Laboratory of Computer Science | Felea V.,Laboratory of Computer Science
SoftCOM 2010 - International Conference on Software, Telecommunications and Computer Networks

In this paper, we propose a routing protocol for wireless sensor networks based on a two-level, zone-based architecture. DV is applied in both intra-zone and inter-zone routing, based on the hop metric. Our solution is original because it is instrumentation-free (sensors are both localization and energy unaware) and completely distributed. We show performances of the proposed algorithm evaluating the overhead generated by the construction of the infrastructure needed in routing. Simulations for MICA2 sensors have given us indications on the energy consumption - almost 4*10-4% of the total battery capacity, on the scalability property of the algorithm and on the memory size of the data structure used for routing - almost 13% of the RAM memory. Moreover, memory constraints allow us to determine a lower bound for the number of zones. Source

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