2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)最新文献_第3页

Brain-computer interface using P300: a gaming approach for neurocognitive impairment diagnosis 基于P300的脑机接口:一种用于神经认知障碍诊断的游戏方法

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748261

D. Venuto, V. Annese, G. Mezzina, M. Ruta, E. Sciascio

{"title":"Brain-computer interface using P300: a gaming approach for neurocognitive impairment diagnosis","authors":"D. Venuto, V. Annese, G. Mezzina, M. Ruta, E. Sciascio","doi":"10.1109/HLDVT.2016.7748261","DOIUrl":"https://doi.org/10.1109/HLDVT.2016.7748261","url":null,"abstract":"This paper proposes a novel mobile healthcare system for remotely monitoring neuro-cognitive functions of impaired subjects and proposing possible treatments. Currently, only hospital centers perform similar analyses through fixed and wired electroencephalography (EEG) inspection. The solution proposed here works wirelessly and improves its accuracy learning by performances of the subject playing a game/test. The system is based on spatio-temporal detection and characterization of a specific brain potential named P300. It includes: i) a wearable wireless EEG device; ii) a gateway (tablet or smartphone) processing gathered data, also providing the test/game to the user. Given the above hardware settings, a new algorithm, named tuned-Residue Iteration Decomposition (t-RIDE), provides spatiotemporal features of P300s and a semantic-based reasoner allows taking into account factors which could modify the test if performed in non-standard conditions. The system has been adopted with 12 subjects involved in three different cognitive tasks with increasing difficulty. Fast diagnosis of cognitive deficits is reached, including mild and heavy impairments cases: t-RIDE processing is performed in 1.95s (after 79 iterations for convergence) whereas semantic matchmaking routine requires 2.5ms in the worst case. A case study for an Alzheimer injured patient is reported to corroborate and clarify the proposed approach.","PeriodicalId":166427,"journal":{"name":"2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)","volume":"30 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117048910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans 秀丽隐杆线虫抽头退出电路的概率可达性分析

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748272

Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, E. Clarke, R. Grosu, S. Smolka

{"title":"Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans","authors":"Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, E. Clarke, R. Grosu, S. Smolka","doi":"10.1109/HLDVT.2016.7748272","DOIUrl":"https://doi.org/10.1109/HLDVT.2016.7748272","url":null,"abstract":"We present a probabilistic reachability analysis of a (nonlinear ODE) model of a neural circuit in Caeorhabditis elegans (C. elegans), the common roundworm. In particular, we consider Tap Withdrawal (TW), a reflexive behavior exhibited by a C. elegans worm in response to vibrating the surface on which it is moving. The neural circuit underlying this response is the subject of this investigation. Specially, we perform bounded-time reachability analysis on the TW circuit model of Wicks et al. (1996) to estimate the probability of various TW responses. The Wicks et al. model has a number of parameters, and we demonstrate that the various TW responses and their probability of occurrence in a population of worms can be viewed as a problem of parameter uncertainty. Our approach to this problem rests on encoding each TW response as a hybrid automaton with parametric uncertainty. We then perform probabilistic reachability analysis on these automata using a technique that combines a δ-decision procedure with statistical tests. The results we obtain are a significant extension of those of Wicks et al. (1996), who equip their model with fixed parameter values that reproduce a single TW response. In contrast, our technique allow us to more thoroughly explore the models parameter space using statistical sampling theory, identifying in the process the distribution of TW responses. Wicks et al. conducted a number of ablation experiments on a population of worms in which one or more of the neurons in the TW circuit are surgically ablated (removed). We show that our technique can be used to correctly estimate TW response-probabilities for four of these ablation groups. We also use our technique to predict TW response behavior for two ablation groups not previously considered by Wicks et al.","PeriodicalId":166427,"journal":{"name":"2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)","volume":"13 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113979948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

High-level modeling for computer-aided clinical trials of medical devices 医疗器械计算机辅助临床试验的高级建模

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748260

Houssam Abbas, Zhihao Jiang, Kuk Jin Jang, M. Beccani, J. Liang, R. Mangharam

{"title":"High-level modeling for computer-aided clinical trials of medical devices","authors":"Houssam Abbas, Zhihao Jiang, Kuk Jin Jang, M. Beccani, J. Liang, R. Mangharam","doi":"10.1109/HLDVT.2016.7748260","DOIUrl":"https://doi.org/10.1109/HLDVT.2016.7748260","url":null,"abstract":"Medical devices like the Implantable Cardioverter Defibrillator (ICD) are life-critical systems. Malfunctions of the device can cause serious injury or death of the patient. In addition to rigorous testing and verification during the development process, new medical devices often go through clinical trials to evaluate their safety and performance on sample populations. Clinical trials are costly and prone to failure if not planned and executed properly. Evaluating devices on computer models of the relevant physiological systems can provide helpful insights into the safety and efficacy of the device, thus helping to plan and execute a clinical trial. In this paper, we demonstrate how to develop high-level physiological models of cardiac electrophysiology and how to apply them to the Rhythm ID Head to Head Trial (RIGHT), a 5-year long clinical trial for comparing two ICDs. We refer to this as a Computer-Aided Clinical Trial (CACT). We explored two modeling options, a white-box model capturing the mechanisms of the physiological behaviors, and a blackbox model which uses machine learning methods to synthesize physiological input signals. Both models were able to generate physiological inputs to the ICDs and we discuss the challenges and appropriateness of the two modeling options.","PeriodicalId":166427,"journal":{"name":"2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134147859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Clock domain crossing formal verification: a meta-model 时钟域跨形式验证:元模型

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748267

M. Kebaili, Jean-Christophe Brignone, K. Morin-Allory

引用次数: 4

A unifying flow to ease smart systems integration 统一流程，简化智能系统集成

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748264

M. Lora, S. Vinco, F. Fummi

引用次数: 0

High-level modeling and verification of cellular signaling 细胞信号的高级建模和验证

2016 IEEE International High Level Design Validation and Test Workshop (HLDVT) Pub Date : 2016-10-01 DOI: 10.1109/HLDVT.2016.7748271

Nataša Miškov-Živanov, P. Zuliani, Qinsi Wang, E. Clarke, J. Faeder

引用次数: 6