2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)最新文献_第4页

Detection of sleep apnea from multiparameter monitor signals using empirical mode decomposition 利用经验模态分解从多参数监测信号中检测睡眠呼吸暂停

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944095

K. V. Madhav, E. Krishna, K. Reddy

{"title":"Detection of sleep apnea from multiparameter monitor signals using empirical mode decomposition","authors":"K. V. Madhav, E. Krishna, K. Reddy","doi":"10.1109/ICCCSP.2017.7944095","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944095","url":null,"abstract":"For diagnosing obstructive sleep apnea (OSA), polysomnography (PSG) is used. Use of PSG is gold standard for detection of sleep apnea. This research is basically aimed at detection of sleep apnea from more commonly available physiological signals such as electrocardiogram (ECG) and photoplethysmographic (PPG) signals in any simple bedside multiparameter monitors. Respiratory activity extracted from ECG and PPG signals is used for the detection of apnea episodes. This process is useful in situations when recording of PSG is not possible or as a preliminary screening test of possible OSA in patients. In the present work ECG-derived respiration (EDR) and PPG derived respiration (PDR) signals, obtained using empirical mode decomposition (EMD) method, and are used to detect OSA episodes. Signals from MIMIC database were used for experimentation. The test results have revealed that the proposed method has efficiently extracted respiratory information from ECG and PPG signals for detection of obstructive sleep apnea syndrome (OSAS). The similarity parameters computed in both time and frequency domains have confirmed the same. High sensitivity and positive predictivity levels have revealed high degree of correctness.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174036","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: 5

Investigation of variable discretization resolution for CD-EKFs in space object tracking 空间目标跟踪中cd - ekf变离散化分辨率研究

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944067

Ashiv Dhondea, A. Mishra, M. Inggs

引用次数: 1

Attendance monitoring system using facial recognition with audio output and gender classification 考勤监控系统采用带有音频输出和性别分类的面部识别

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944103

S. Poornima, N. Sripriya, B. Vijayalakshmi, P. Vishnupriya

引用次数: 15

A performance comparison of document oriented NoSQL databases 面向文档的NoSQL数据库性能比较

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944071

K. Kumar, Srividya, S. Mohanavalli

引用次数: 27

Denoising of fingerprint images by exploring external and internal correlations 通过探索外部和内部的相关性去噪指纹图像

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944056

K S Krishnapriya

{"title":"Denoising of fingerprint images by exploring external and internal correlations","authors":"K S Krishnapriya","doi":"10.1109/ICCCSP.2017.7944056","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944056","url":null,"abstract":"Fingerprint is an important measure used to detect an unknown victim, suspect or witness. It has a major role in verifying records to explore links and matches between a suspect and a crime. Fingerprints are also used for security reasons, such as an entrance control at important buildings. But the quality of fingerprint images can easily get degraded by skin dryness, wet, wound and other types of noises. Hence denoising of fingerprint images is a necessary step in systems for automatic fingerprint recognition. This paper suggests a 3-stage process for the removal of noise from fingerprint images, through exploring external correlations and internal correlations, with the help of a set of correlated images. Internal and external data cubes are built for each noisy patch by discovering identical patches from the corresponding noisy and internet based images. External denoising in the first stage is done by a graph based optimization method and internal denoising is done by means of a frequency truncation process. Internal denoising results and external denoising results are combined to obtain the preliminary denoising result. The second stage performs filtering of external and internal cubes and the fused result is in turn passed to the third stage. In the third stage, an image enhancement technique is carried out to obtain the final denoised result. This method is compared with the existing algorithms and the experimental results, in terms of its PSNR (Peak Signal to Noise Ratio) values and SSIM (Structural Similarity Measure) values proved that the method is efficient than all of them.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124669163","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: 3

An IoT based remote HRV monitoring system for hypertensive patients 基于物联网的高血压患者HRV远程监测系统

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944086

R. Kirtana, Y. V. Lokeswari

{"title":"An IoT based remote HRV monitoring system for hypertensive patients","authors":"R. Kirtana, Y. V. Lokeswari","doi":"10.1109/ICCCSP.2017.7944086","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944086","url":null,"abstract":"Heart Rate Variability (HRV) is a measure of variation in the time interval between consecutive heart beats. HRV analysis is highly sensitive for risks linked with Cardiovascular disease, Diabetic Mellitus, disease states associated with Autonomic Dysrhythmia such as Hypertension and a large array of chronic degenerative medical condition. Sensitivity of HRV towards various medical condition accounts for its increased usage by doctors as a diagnostic, prognostic tool and to evaluate the effectiveness of the treatment offered. Often borderline hypertensive patients with and without history of a cardiac event are subjected to stroke as well as cardiac mortality at high risk. Monitoring of HRV parameters for such cases of high risk will prove useful in providing adequate medical care at needed times. In this paper, the authors propose a low-cost and easy to use Remote HRV Monitoring System based on the Internet of Things (IoT) technology for borderline Hypertensive patients. In the proposed system, HRV parameters are derived using Wireless Zigbee based pulse sensor. Arduino transmits patient data to server using MQTT protocol. The application server collects HRV data and plots graphs. In case of an emergency situation, the care taker and doctor are intimated through Short Message Service (SMS) for providing adequate medical help. While there are currently no HRV analysis systems that alerts at times of high risk for hypertensive patients along with the aid of a remote doctor, the proposed system aims at achieving the same. The proposed system combines the dual benefits of Zigbee and WiFi technology. By doing so, it successfully fulfils all the ideal traits of a remote health monitoring system in terms of low-cost, long range, security, promptness and easy-to-use that serves in saving lives.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121361351","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: 34

OFDM channel estimation using novel LMS adaptive algorithm 基于LMS自适应算法的OFDM信道估计

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944100

E. Krishna, K. Sivani, K. Reddy

引用次数: 8

Keynote speakers: Social interactions and system vulnerabilities 主讲人:社会交互和系统漏洞

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/icccsp.2017.7944051

Yong Meng Teo

{"title":"Keynote speakers: Social interactions and system vulnerabilities","authors":"Yong Meng Teo","doi":"10.1109/icccsp.2017.7944051","DOIUrl":"https://doi.org/10.1109/icccsp.2017.7944051","url":null,"abstract":"Dr. TEO Yong Meng is an Associate Professor of Computer Science at the National University of Singapore (NUS) and an Affiliate Professor at the NUS Business Analytics Centre. At NUS, he is the technical leader for Systems Research and he leads the Computer Systems Research Group. He was a Visiting Professor at the Chinese Academy of Science in China from 2010–2014. He received his PhD and MSc in Computer Science from the University of Manchester. His research interests include parallel computing, systems modeling and simulation and performance analysis. His recent work focuses on modeling the performance of heterogeneous parallel systems and emergent properties in complex systems among others. He has over 150 journal and conference publications and a number of best paper awards including the Best Applied Paper Award at the annual Wintersim Conference in 2015 and the Best Paper Award at the 10th International Conference on Algorithms and Architectures for Parallel Processing in 2010. Another paper, co-authored with his PhD student won the ACM SIGSIM Best PhD Student Paper Award in 2009. He has received various research grants including European Commission, Fujitsu Computers (Singapore) Pte Ltd, Fujitsu Laboratories Ltd (Japan), Sun Microsystems/Oracle (USA), NVIDIA and PSA Corporation.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115685861","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: 0

Dynamic generation of transactional contracts for hierarchical workflows 为分层工作流动态生成事务契约

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944102

K. Rajaram, C. Babu, Arun Adiththan

引用次数: 0

Design of multi utility multi band microstrip calculator shaped patch antenna using coaxial feed 多用途多波段同轴馈电微带计算器型贴片天线的设计

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944076

T. Shanmuganatham, Deepanshu Kaushal

{"title":"Design of multi utility multi band microstrip calculator shaped patch antenna using coaxial feed","authors":"T. Shanmuganatham, Deepanshu Kaushal","doi":"10.1109/ICCCSP.2017.7944076","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944076","url":null,"abstract":"This paper demonstrates the structure and the result characterization of a multi band microstrip patch antenna closely resembling Microsoft Calculator Accessory logo. This antenna is intended to be used for several applications. The substrate used is FR4 epoxy substrate with a relative permittivity of 4.4, dielectric loss tangent of 0.002 and a thickness of 1.6 mm. The design uses a probe feeding mechanism owing to numerous advantages offered by it. The simulation software used is HFSS (High Frequency Structure Simulator). The structure resonates at 6 different frequencies including 1.2 GHz offering a reflection coefficient of −24.9 dB and a bandwidth of 47 MHz for aeronautical radio navigation, 1.53 GHz with a reflection coefficient of −16.9 dB and a bandwidth of 74.2 MHz for satellite communication, 2.56 GHz with a reflection coefficient of −29.7 dB and bandwidth of 121.7 MHz for wireless communication, 1.962 dB at 3.27 GHz with a reflection coefficient of −12.3 dB and a bandwidth of 62.7 MHz for private land mobile devices, 3.89 GHz with a reflection coefficient of −13.4 dB and a bandwidth of 68.4 MHz for fixed microwave devices and 5.91 GHz with a reflection coefficient of −17.3 dB and a bandwidth of 340 MHz for ISM equipment, personal land mobile, personal radio and amateur radio.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904737","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: 6