2016 IEEE Students’ Technology Symposium (TechSym)最新文献_第3页

Modelling and analysis of a general Takagi-Sugeno fuzzy PI/PD controller with modified rule base 基于改进规则库的通用Takagi-Sugeno模糊PI/PD控制器的建模与分析

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872676

R. Raj, B. Mohan

引用次数: 5

An Analog-Front-End for non-invasive fetal electrocardiography monitoring 用于无创胎儿心电图监测的模拟前端

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872684

Sachin Tom John, P. R. Muduli, A. Mukherjee

{"title":"An Analog-Front-End for non-invasive fetal electrocardiography monitoring","authors":"Sachin Tom John, P. R. Muduli, A. Mukherjee","doi":"10.1109/TECHSYM.2016.7872684","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872684","url":null,"abstract":"Fetal electrocardiography (fECG) based assessment techniques are likely to be more effective in ensuring fetal well-being, than currently popular methods based on ultrasound echocardiography and pulse oximetry. Employing Non-invasive procedures for measurement of fECG not only ensures minimal patient discomfort, but also makes the product suitable for wearable applications. However, non-invasive fECG extraction has proven to be difficult due to low amplitudes of fECG signals, attenuation by maternal biological tissues, overlapping spectra with other fetal and maternal bio-signals and low-frequency noise in measurement devices. This paper describes the design of a noise optimized Analog-Front-End (AFE) for a non-invasive fECG monitor. The design criterion laid down for the fECG monitor require it to be an ambulatory, low-power, inexpensive device, interfaced to a smart-phone and capable of running computationally intensive signal processing algorithms. The primary role of the AFE is to filter-out large DC offsets, movement artifacts, high-frequency noise and subsequently amplify and condition the extracted signals before digitization. This noise optimized design makes use of active-electrodes fabricated on small printed circuit boards (PCB). Each PCB is mounted on standard Ag-AgCl electrodes to buffer, filter and amplify abdominal bio-signals as soon as they are detected. The extracted signals are then sent to the fECG monitor PCB for further processing and signal conditioning, before being digitized by a 24-bit analog-to-digital converter (ADC) of an ARM Cortex M3 based system-on-chip (SoC). The monitor is designed to work with supply voltages from 3.6Vdc to 5.5Vdc, allowing it to be powered from a variety of sources; battery packs to USB connectors. Working of the AFE was tested using synthetic signals and elementary biological signals.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114379699","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: 1

Performance analysis of L-type PV-DSTATCOM under ideal and distorted supply voltage l型PV-DSTATCOM在理想电压和畸变电压下的性能分析

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872678

Soumya Mishra, Santanu Kumar Dash, P. K. Ray

引用次数: 6

Design automation of analog module using hierarchical decomposition 模拟模块自动化设计采用分层分解

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872685

S. Kundu, P. Mandal

引用次数: 0

Simultaneous reconstruction and restoration of sparsely sampled optical coherence tomography image through learning separable filters for deep architectures 基于学习深度结构可分离滤波器的稀疏采样光学相干层析成像同步重建与恢复

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872654

S. Karri, Niladri Garai, Debaleena Nawn, Sambuddha Ghosh, Debjani Chakraborty, J. Chatterjee

{"title":"Simultaneous reconstruction and restoration of sparsely sampled optical coherence tomography image through learning separable filters for deep architectures","authors":"S. Karri, Niladri Garai, Debaleena Nawn, Sambuddha Ghosh, Debjani Chakraborty, J. Chatterjee","doi":"10.1109/TECHSYM.2016.7872654","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872654","url":null,"abstract":"Spectral domain optical coherence tomography (SD-OCT) is widely employed across ophthalmology practices for visual investigation of live tissues. The involuntary movements of subjects frequently infuse motion artifacts to SD-OCT images. Sub-sampling of signals is introduced in imaging protocol to avoid such artifacts which causes fall in spatial resolution and peak signal to noise ratio (PSNR). Sparse coding (SC) is opted for restoration and rectification of complete signals from sparse samples through constructing complete and sparse space dictionaries independently. Convolutional neural networks (CNN) can be casted as SC for jointly learning dictionaries resulting less number of CNN filters (equivalence of SC dictionaries) to be trained. The proposed approach extends the separable filters to CNN through architectural constrain. This results in a parallel architecture and reduced number of parameters without compromising on performance. The approach scaled down trainable parameters by 46% with a trade-off of 0.108 PSNR during training and 0.107 PSNR during testing in comparison to conventional CNN.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537598","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

Expressive speech analysis for epoch extraction using zero frequency filtering approach 用零频率滤波方法提取历元的表达语音分析

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872689

D. Pravena, D. Govind

{"title":"Expressive speech analysis for epoch extraction using zero frequency filtering approach","authors":"D. Pravena, D. Govind","doi":"10.1109/TECHSYM.2016.7872689","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872689","url":null,"abstract":"The present work discusses the issues of epoch extraction from expressive speech signals. Epochs represent the accurate glottal closure instants in voiced speech which in turn give the accurate instants of maximum excitation of the vocal tract. Even though, there are many existing methods for epoch extraction, which provide near perfect epoch estimation from clean or neutral speech, these methods show significant drop in the epoch extraction performance for expressive speech signals. The occurrence of uncontrolled and rapid pitch variations in expressive speech signals cause degradation in the epoch extraction performance. The objective of the present work is to improve the epoch extraction performance of the speech signals with various perceptually distinct expressions compared to neutral speech using zero frequency filtering (ZFF) approach. In order to capture the rapid and uncontrolled variations in expressive speech utterances, trend removal is performed on short segments (25 ms) of the output obtained from the cascade of three zero frequency resonators (ZFR). The epoch estimation performance of the proposed method is compared with the conventional ZFF method, existing refined ZFF method proposed for expressive speech and recently proposed zero band filtering (ZBF) approach. The effectiveness of the approach is confirmed by the improved epoch identification rate and reduced miss and false alarm rates compared with that of the existing methods.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133318039","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: 7

A proficient chaos based security algorithm for emergency response in WBAN system 一种基于混沌的WBAN系统应急响应安全算法

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872648

Saiyma Fatima Raza, Ch. Naveen, V. Satpute, A. Keskar

{"title":"A proficient chaos based security algorithm for emergency response in WBAN system","authors":"Saiyma Fatima Raza, Ch. Naveen, V. Satpute, A. Keskar","doi":"10.1109/TECHSYM.2016.7872648","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872648","url":null,"abstract":"E-healthcare is emerging as a new technology for monitoring vital body parameters of patient having chronic disease or during disaster. Wireless Body Area Network (WBAN) is one such technology that is improving the quality of health care. WBAN has personal patient data. Attackers can access this data from Wireless Sensor Nodes (WSNs) or from the wireless channel between nodes and server; this requires efficient security protocol for providing data security. In case of emergency, the vital parameters should be easily accessed by the doctor's or the paramedic. Stringent authentication and security criteria's makes it difficult to access the data during emergency, which may prove to be disastrous for the patient. This paper proposes a new approach for data security in wireless channel specifically during emergency conditions. WBAN uses Advanced Encryption Standard-128 (AES-128) cipher which requires substantial time for encryption which may be fatal in case of emergencies. Security mechanism for sensor nodes should be lightweight due to the area and resource constraints. The proposed method uses chaos based scrambling in case of emergency, which is lightweight with respect to AES and also requires very less processing time which is desired in emergencies.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129148417","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: 14

Non-rigid medical image registration using adaptive knot selection in P-spline 基于p样条自适应结点选择的非刚性医学图像配准

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872691

Smita Pradhan, D. Patra

{"title":"Non-rigid medical image registration using adaptive knot selection in P-spline","authors":"Smita Pradhan, D. Patra","doi":"10.1109/TECHSYM.2016.7872691","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872691","url":null,"abstract":"In medical imaging application, nonrigid registration is an important step which requires transformation to align the deformed floating image grid points spatially with reference image grids. The transformation includes interpolation which estimates the intensity values of floating image other than the grid points. For nonrigid registration, generally the transformation is modeled using B-spline basis function. As the acquired images are deformed and contains bias field, it is very time consuming to reform the grid at each level. Considering the registration process as an optimization problem, the grid points are adaptively chosen and updated iteratively with a new transformation in each step. In this paper, an adaptive knot placement algorithm is presented for P-spline interpolation method to achieve accurate alignment of local deformation with less computation time. The proposed algorithm is validated with 3 sets of simulated brain images with a known distortion and 2 real brain MR image data sets. Different performance measures such as MSE, RMS, NAE are used to evaluate the qualitative measure of the proposed scheme. Estimated transformation grid and evaluated performance measures show the improvement in the proposed algorithm as compared to the other existing state-of-arts.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127841510","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: 2

Two-channel heart sound segmentation framework using phonocardiogram and pulsatile signals 利用心音图和脉搏信号的双通道心音分割框架

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872701

V. N. Varghees, K. I. Ramachandran

{"title":"Two-channel heart sound segmentation framework using phonocardiogram and pulsatile signals","authors":"V. N. Varghees, K. I. Ramachandran","doi":"10.1109/TECHSYM.2016.7872701","DOIUrl":"https://doi.org/10.1109/TECHSYM.2016.7872701","url":null,"abstract":"Phonocardiogram (PCG) segmentation is the crucial first step in automated heart sound analysis and diagnostic systems. Recently, the cardiac signals (including, electrocardiogram, phonocardiogram and photoplethysmogram) are simultaneously recorded for most cardiac signal processing applications such as cardiovascular diagnostic system, biometric authentication, and emotion/stress recognition. In this paper, we present an effective two-channel heart sound segmentation framework using PCG and pulse signals. The proposed framework comprises the steps of: heart sound signal decomposition using stationary wavelet transform, Shannon entropy envelope extraction, heart sound endpoint determination, systolic peak detection, and heart sound discrimination. The proposed framework is tested and validated using the simultaneously recorded heart sound and pulse signals. Performance evaluation results demonstrate that the proposed heart sound endpoint and systolic peak detection methods can achieves an average Se of 98.98%, +P of 96.80% and Se of 99.57%, +P of 99.37%, respectively. The proposed framework achieves an identification accuracy of 100% in distinguishing the first heart sound (S1) and second heart sound (S2) under clean and noisy signal conditions.","PeriodicalId":403350,"journal":{"name":"2016 IEEE Students’ Technology Symposium (TechSym)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122679341","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

Synchronisation control of a novel fractional-order chaotic system with hidden attractor 具有隐吸引子的分数阶混沌系统的同步控制

2016 IEEE Students’ Technology Symposium (TechSym) Pub Date : 2016-09-01 DOI: 10.1109/TECHSYM.2016.7872675

Manashita Borah, P. Roy, B. K. Roy

引用次数: 15